Data Scientist Jobs in New York, USA

<p>Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver.<br> <br>Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.<b>Position Summary</b><br><br>Leads and participates in the development, validation and delivery of algorithms, statistical models, reporting tools, and ad hoc analyses. Solves complex analytical problems. Works cross functionally with data engineering, clinical, product, and other teams, to develop, launch, monitor, and improve, analytic solutions. Develops condition identification and risk stratification algorithms. Develops member facing campaigns to connect the right members with the right health solutions &amp; interventions. Measures campaign performance.<b>Required Qualifications</b><ul><li>3+ years of relevant work experience</li><li>Experience with health insurance claims data analytics</li><li>Strong knoweldge of SQL</li><li>Strong knowledge of Python and/or R</li><li>Experience with experimental design and statistical measurement</li></ul><b>Preferred Qualifications</b><ul><li>Healthcare analytics experience strongly preffered</li><li> Adept at problem solving and decision making skills </li><li> Adept at collaboration and teamwork </li><li> Adept at execution and delivery (planning, delivering, and supporting) skills </li></ul><b>Education</b><ul><li> Master's degree in Data Science, Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline </li><li> Equivalent Combination of education and experience may be considered </li></ul><b> Anticipated Weekly Hours </b><br>40<b>Time Type</b><br>Full time<b>Pay Range</b><br><br>The typical pay range for this role is:$92,700.00 - $222,480.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. <br> <br>In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. <br> <br>For more detailed information on available benefits, please visit Benefits | CVS HealthWe anticipate the application window for this opening will close on: 03/10/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p>

<p><b>Responsibilities</b><br><br> About TikTok U.S. Data Security<br>TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust &amp; Safety, Security &amp; Privacy, Engineering, User &amp; Product Ops, Corporate Functions and more.<br><br>Why Join Us<br>Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. <br>Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. <br>To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. <br>At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. <br>Join us.<br><br>Team Intro<br>We are seeking an experienced Data Scientist to join the Risk and Response - Detection and Automation Team within US Trust &amp; Safety (T&amp;S). TikTok T&amp;S helps ensure that our global community is safe and empowered to create and enjoy content across all of our applications. <br>As a Data Scientist on the Risk and Response - Detection and Automation Team, you will contribute to the discovery, investigation, and remediation of high harm issues and behavior on platform within our Detection Engineering Program. Detection Engineering focuses on the creation and maintenance of proactive logic to identify high harm content at scale to prevent harm to users and to the company. This role will work internally with the Automation Engineering pillar within the larger Detection and Automation team, and cross functionally with other Trust and Safety teams and Security teams. Examples of use-cases you will help to develop include finding high harm leakage in areas of youth safety, exploitation and abuse, and violent behaviors, just to name a few. Detections can take the form of SQL jobs, lightweight topic classification models, and even large language model solutions.<br><br>Our Automation and Detection team performs a critical function that supports our efforts to address objectionable or disturbing content. Content that this Data Scientist interacts with includes images, video, and text related to every-day life, but it can also include (but is not limited to) bullying; hate speech; child abuse; sexual assault; torture; bestiality; self-harm; suicide; and murder. <br><br>It is possible that this role will be exposed to harmful content on a daily basis.<br><br>In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.<br><br>Responsibilities<br>- Improve consistency and efficiency throughout US Trust &amp; Safety's Detection Engineering program by architecting and shipping high precision use-cases via SQL and different modeling strategies in Python. <br>- Work directly with stakeholders to inform, refine, and validate concepts. We ideate a majority of the work we develop, which means capturing need and maturing it from MVP to production.<br>- Work with cross functional teams globally to ensure alignment, collect feedback on detections, and deploy solutions to get cross functional adoption.<br>- Raise the effectiveness of tooling and detection solutions through metrics collection and insights.<br>- Provide mentorship and guidance for data analysts on the team.<br><br><b>Qualifications</b><br><br> Minimum Qualifications<br>- Bachelor's degree or industry equivalent work experience in Data Science, Computer Science, Computer Engineering, Mathematics<br>- At least 3 years of industry experience as a Data Scientist or Machine Learning engineer<br>- Proficiency in SQL and Python<br>- Strong technical documentation and reporting skills<br>- Ability to handle confidential information with discretion<br><br>Preferred Qualifications<br>- Proficiency in other object oriented languages<br>- Experience working with development platforms such as Databricks and Jupyter Notebooks<br>- Working knowledge of cloud platforms (i.e. OCI, GCP, AWS, etc)<br>- Experience evaluating, training, and inferencing with Machine Learning Models and tools<br>- Experience working in a Trust and Safety team<br>- Knowledge of social media processes and products, as well as current gaps that can be exploited by threat actors<br>- You stay up to date on online deceptive and manipulative behavior. You have a working knowledge of the signals of specific threat actors, their cross-platform tactics, and how they evolve or change over time<br>- Your ability to work in a high tempo environment, adapt, respond to day-to-day challenges of the role<br>- Your resilience and commitment to self-care to manage the emotional demands of the role<br><br>Wellbeing Statement<br>Trust &amp; Safety recognizes that keeping our platform safe for TikTok communities is no ordinary job. It can be rewarding, psychologically demanding, and emotionally taxing. This is why we are sharing the potential hazards, risks and implications in this unique line of work from the start: so our candidates are well informed before proceeding.<br><br>We are committed to the wellbeing of all our employees and promise to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach.<br><br>D&amp;I Statement<br>TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.<br><br>Accommodation Statement<br>TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/ktJP6<br><br>Data Security Statement<br>This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.<br><br><b>Job Information</b><br><br><b>[For Pay Transparency] Compensation Description (annually)</b><br><br> The base salary range for this position in the selected city is $114000 - $240000 annually.<br><br>Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provide

<p>At Apple, we work every day to create products that enrich people's lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.<br><br>Ads Experimentation team is seeking a Machine Learning Engineer and Statistician who will help drive innovation. This is a hands-on role for developing &amp; supporting a state of the art ads experimentation platform. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create intuitive user experiences; they have a keen eye for the details that surprise and delight our customers. While understanding our product features, you will perform rigorous analyses, measure performance and make data-driven decisions and develop scalable tools that facilitate quick and accurate decision making.<br><br><b>Description</b><br><br>Design and build a new generation of experimentation platform for the Ads Platform organization. Apply leading-edge technologies to enable safe and data driven launch of features that help connect Apple users and advertisers while delivering on Apple's privacy commitment through experimentation. Collaborate with stakeholders and data scientists to design experiments and statistical methods that account for the marketplace dynamics and yield reliable treatment effects.<br><br>Provide expert technical guidance to engineers and scientists on statistical techniques, experiment design and data engineering.<br><br>You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity. We are one team, nurturing each other's growth and supporting each other in delivering for our customers and Apple.<br><br><b>Responsibilities:</b><br><br><b>Preferred Qualifications</b><br><br>Advanced Degree in Computer Science, Statistics, Applied Math or related field.<br><br>8+ years of industry experience building scalable applications.<br><br><b>Minimum Qualifications</b><br><br>8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.<br><br>Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.<br><br>Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus.<br><br>Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.<br><br>Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus.<br><br>Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.<br><br>Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering.<br><br>Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.<br><br>Skilled at operating in a cross-functional organization.<br><br>Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.<br><br>Curious business attitude with a proven ability to seek projects with a sense of ownership.<br><br>Excellent communication, social and presentation skills.<br><br>Desire to work in a fast-paced and challenging work environment.<br><br>Mentor junior engineers and scientists on the team<br><br><b>Pay &amp; Benefits</b><br><br>At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.<br><br>Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits<br><br>Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

<p>At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.<b> A Brief Overview </b>Our Consumer Analytics team provides insights, designs personalized outreaches and nudges, and experiments at impressive scale: &gt;100M messages per year. These messages educate members on truly meaningful things like staying adherent to medications, avoiding admissions to hospitals, and improving overall health (not about getting people to click on ads!).We do this through a combination of rules, statistical, and ML models that identify who to target, an experimentation platform that we've built that allows complex journeys and test designs, and a combination of channels and vendors that deliver messages including SFMC. We do this hand in hand with our data engineering and marketing partners.You will be part of a team that brings our insights and personalized outreaches and nudges to our B2B clients and their members (think health plans or employers providing health insurance and services to their employees).As a member of our team, you will focus on developing data science solutions to enable and improve our advocacy program that helps members navigate their healthcare benefits, including call intelligence to help us understand member pain points, prioritization models to guide member outreach, and experiments to help us continuously improve our solutions.<b> What you will do: </b><ul><li> Write complex and efficient code in SQL, Python or R and leverage Exploratory Data Analysis techniques to develop insights from multiple data sources in a cloud environment. </li><li> Collaborate with a multi-disciplinary team of data scientists and engineers that develops and deploys robust machine learning, statistical models, and experimentation to optimize patient engagement tactics, clinical outcomes, and patient experience. </li><li> Consults with internal clients to identify opportunities to implement data science solutions to business problems at an advanced level. </li><li> Effectively collaborate with Data Engineering, IT and other technical teams to onboard new data sources, create feature stores and optimize/ automate model development and deployment processes (Github, MLOps etc.). </li><li> Collaborate effectively with business, marketing, and other stakeholders across the organization. </li><li> Present recommendations to senior staff and internal clients. </li><li> Rapidly iterate through solutions to figure out what works best.</li></ul><b> The ideal candidate: </b><ul><li> Has a solid grasp of foundations and experience with predictive modeling and optimization methods. </li><li> Has a solid grasp of foundations and experience with causal inference methods (e.g., difference-in-differences) and experimental design. </li><li> Has a solid grasp of foundations and experience with leveraging genAI solutions for analyzing call data. </li><li> Wants to do something that is innovative from a data science perspective and provides tangible real-world impact. </li><li> Is okay with ambiguity and can creatively build solutions that solve problems, even if those problems are not expressed in formal ways like BRDs. </li><li> Has experience working as a social scientist and as a data scientist. </li><li> Loves innovating and working on small teams that get stuff done and have a lot of autonomy. </li><li> Experience with customer advocacy and contact center experience is a plus. </li><li> Healthcare background is a plus. </li></ul><b> For this role you will need the following minimum requirements: </b><ul><li> Mastery of problem solving and decision-making skills </li><li> Mastery of collaboration and teamwork </li><li> Mastery of growth mindset (agility and developing yourself and others) skills </li><li> Mastery of execution and delivery (planning, delivering, and supporting) skills </li><li> 1+ years work experience or graduate-level research experience</li></ul><b> Programming/Technical skills required: </b><ul><li> Strong theoretical and hands-on experience with statistics and machine learning in general</li><li> Strong programming skills in Python, R and SQL </li><li> Hands-on experience with cloud computing (Google Cloud, AWS, etc.) </li><li> Hands-on experience with tools and processes for version control (i.e. git, GitHub) </li></ul><b>Education</b><ul><li> Bachelor's degree in Statistics, Econometrics, or any related quantitative field </li><li> Master's preferred </li></ul><b> Anticipated Weekly Hours </b><br>40<b>Time Type</b><br>Full time<b>Pay Range</b><br><br>The typical pay range for this role is:$72,100.00 - $173,040.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.<b>Great benefits for great people</b>We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li><b>Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</li><li><b>No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li><b>Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>For more information, visit https://jobs.cvshealth.com/us/en/benefitsWe anticipate the application window for this opening will close on: 07/02/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p>

<p>At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.<b>Position Summary</b>It's a new day in healthcare!<ul><li>Looking for opportunities to use cutting edge technologies analyzing petabytes of data on Google Cloud Platform?</li><li>Interested in generating analytical insights that inform provider networks and engagement strategies that support members on their individualized health and wellness journey?</li></ul>CVS's Analytics &amp; Behavior Change team delivers strategically impactful programs and tools that expand convenient access to high-quality and affordable care for all members across multiple channels across all stages of life.At CVS, we're pioneering a total approach to health and wellness. As a Sr. Data Scientist on the Analytics &amp; Behavior Change team, you'll build industry-leading analytics, data, and technology platforms to help reimagine health care. This position will play a critical role within a cross-functional team, delivering powerful solutions that inform network strategy and design, improve network performance and provider engagement, develop new provider offerings, and enhance consumer experience.You will be part of a fast-paced, innovative, collaborative team, helping solve problems, drive impact, and deliver key insights to our customers by leveraging innovations in data science, machine &amp; deep learning, and predictive modeling techniques. You will derive meaning from data and deploy robust solutions through provider-directed engagement channels (e.g., digital) that helps consumers identify affordable care, when they need it, and with whom.Fundamental Components:<ul><li>Leads and participates in the development, validation and delivery of algorithms, statistical models, and reporting tools. Solves complex analytical problems.</li><li>Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.</li><li>Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.</li><li>Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.</li><li>Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions. Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.</li><li>Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.</li><li> Use strong programming skills to explore, examine and interpret large volumes of data in various forms. </li></ul><b>Required Qualifications</b><ul><li>5+ years Analytic experience</li><li>5+ years SQL Programming experience</li><li>4+ years' experience with Python</li><li>3+ year experience at a Data Scientist</li><li>2+ years' experience with Cloud ( GCP , AWS or Azure )</li><li>2+ years' experience communicating technical concepts and implications to business partners</li></ul><b>Preferred Qualifications</b><ul><li> Experience with BigQuery ( BQ ) </li><li>Experience with ML Modeling, machine learning algorithms, statistical analysis, data engineering and data visualization</li><li>Good written and verbal communication skills</li><li>Ability to work with large data sets from multiple data sources</li></ul><b>Education</b><ul><li>Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline</li><li>Master's degree preferred</li></ul><b> Anticipated Weekly Hours </b><br>40<b>Time Type</b><br>Full time<b>Pay Range</b><br><br>The typical pay range for this role is:$101,970.00 - $222,480.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.<b>Great benefits for great people</b>We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li><b>Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</li><li><b>No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li><b>Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>For more information, visit https://jobs.cvshealth.com/us/en/benefitsWe anticipate the application window for this opening will close on: 05/07/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p>

<p><b>Job Description:</b><br><br>At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.<br><br>Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.<br><br>Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.<br><br>At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!<br><br><b>Job Description:</b><br><br>This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.<br><br><b>Responsibilities:</b><br><br><ul><li>Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights</li><li>Applies agile practices for project management, solution development, deployment, and maintenance</li><li>Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production</li><li>Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment</li><li>Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables</li><li>Mitigates risk by identifying potential issues and developing controls</li><li>Researches the latest advances in the fields of data science and artificial intelligence to support business analytics</li></ul><br><b>Skills:</b><br><br><ul><li>Adaptability</li><li>Attention to Detail</li><li>Business Analytics</li><li>Technical Documentation</li><li>Written Communications</li><li>Agile Practices</li><li>Application Development</li><li>Collaboration</li><li>Data Visualization</li><li>DevOps Practices</li><li>Artificial Intelligence/Machine Learning</li><li>Networking</li><li>Policies, Procedures, and Guidelines Management</li><li>Presentation Skills</li><li>Risk Management</li></ul><br><b>LOB Specific Information:</b><br><br><b>****</b> <b>This position is not eligible for sponsorship.</b><br><br>This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams.<br><br>Client Protection Shared Services - Advanced Analytics is looking for a seasoned and energetic professional to join our team as a Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud.<br><br><b>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</b><br><br><b>For internal employees: participation in a work from home posture does not make you ineligible to post.</b><br><br><b>Responsibilities:</b><br><br>Some tasks that this role may be responsible for include (but are not limited to):<br><br>• Manage a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology<br><br>• Manage relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks<br><br>• Engage business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts<br><br>• Oversee development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business<br><br>• Perform complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance<br><br>• Coach and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics<br><br>• Support execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights<br><br>• Link Analysis/Graph analytics to find and mitigate densely connected fraud networks<br><br>• Develop and tune graph algorithms to maximize detection of fraud<br><br>• Assist with the generation, prioritization, and investigation of fraud rings<br><br><b>Required Skills:</b><br><br>• A minimum of 3 years of experience in data and analytics is required<br><br>• Must be proficient with SQL and one of SAS, Python, or Java<br><br>• Critical problem-solving skills including selection of data and analytical approach<br><br>• Experience providing thought leadership, developing deliverables, and working with limited direction on complex problems to achieve project goals<br><br>• Effective communication and influencing skills<br><br>• Thrives in fast-paced and highly dynamic environment<br><br>• Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solutions<br><br>• Experience handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka)<br><br>• Experience with data analytics and/or technical development lifecycles<br><br><b>Desired Skills:</b><br><br>• Advanced degree (Masters or Doctorate) preferably in STEM (Science, Technology, Engineering,

<p><b>Job Description:</b><br><br>At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.<br><br>Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.<br><br>We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.<br><br>Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.<br><br>At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!<br><br><b>Job Description:</b><br><br>What we're building:<br><br>The data science team (within GPS) is working on more than five projects that are driving/will drive significant impact across the GPS business. Some examples include:<br><br><ul><li>A revolutionary approach leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clients</li><li>A Generative AI powered "chatbot-like" search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions</li><li>A comprehensive AI model that helps to move foreign currency conversion "up the payment stream" and away from the beneficiary banks</li><li>Applying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clients</li></ul><br>Who we're looking for:<br><br>If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role.<br><br>You will be responsible for a variety of challenging projects that require constant communication and collaboration with data engineers, data scientists and other internal teams. Utilizing extensive business and programming knowledge, you will help to tackle a variety of machine learning problems ranging from recommendation systems, stochastic optimization, and time series forecasting. You will also implement A/B testing and research emerging technologies, among other day-to-day duties.<br><br><b>Responsibilities:</b><br><br><ul><li>Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions</li><li>You will impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS</li><li>You will be responsible for the success and improvement of the aplications that support development, research, and data science in GPS (the "products"), help set long-term vision and strategy for selective products, and collaborate with Data Scientists to meet the needs of the "users"</li><li>You will work closely with other Data Scientists to set technical strategy and prioritize development work</li></ul><br><b>Required Skills:</b><br><br>Strongly Preferred:<br><br><ul><li>Bachelor's degree in a quantitative field such as: computer science, math, and physics</li><li>You have 3-5 years of data science experience working in a highly technical environment</li><li>Extensive experience with Excel and PowerPoint and an insatiable curiosity to understand how things work</li><li>Solid understanding of data structures and algorithms with substantial Python experience</li><li>Understanding of how to frame a data science problem and a high-level understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)</li><li>Critical thinking skills; able to take feedback and transform it into strategic action</li><li>Strong verbal, communication, technical design and documentation skills</li></ul><br><b>Desired Skills:</b><br><br>Nice to have:<br><br><ul><li>Graduate level degree in a quantitative field such as, computer science, math, and physics</li><li>Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib</li></ul><br><b>Skills:</b><br><br><ul><li>Agile Practices</li><li>Application Development</li><li>DevOps Practices</li><li>Technical Documentation</li><li>Written Communications</li><li>Artificial Intelligence/Machine Learning</li><li>Business Analytics</li><li>Data Visualization</li><li>Presentation Skills</li><li>Risk Management</li><li>Adaptability</li><li>Collaboration</li><li>Consulting</li><li>Networking</li><li>Policies, Procedures, and Guidelines Management</li></ul><br><b>Shift:</b><br>1st shift (United States of America)<br><br><b>Hours Per Week: </b><br>40<br><br><b>Pay Transparency details</b><br><br>US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)<br><br>Pay and benefits information<br><br>Pay range<br><br>$165,000.00 - $246,200.00 annualized salary, offers to be determined based on experience, education and skill set.<br><br>Discretionary incentive eligible<br><br>This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.<br><br>Benefits<br><br>This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.</p>

<p><b>Job Description:</b><br><br>At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.<br><br>Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.<br><br>Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.<br><br>At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!<br><br><b>The Data and AI team within Global Payment Solutions (GPS) at Bank of America</b> is looking for a highly technical Research Engineer that is a self-starter who can translate complex concepts and generate actionable insights.<br><br><b>Who we are:</b><br><br>The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world. We are the core data scientists building end-to-end production level solutions at scale. The team is a collection of individuals that welcomes challenging problems because that is where the learning begins. Many of our projects begin with "think tank" sessions with business teams that is later translated to tangible solutions and products.<br><br><b>Representative Projects:</b><br><br><ul><li>Develop advanced statistical methods to determine the optimal interest-rate or product pricing strategies for clients</li><li>Build a Generative AI-powered search platform that enables sales and product teams to access high quality answers to product, servicing, and client related questions</li><li>Develop AI models that shift foreign currency conversion "up the payment stream," reducing reliability on beneficiary banks</li><li>Apply advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, helping servicing teams anticipate client needs and improve service quality</li></ul><br><b>Who we're looking for:</b><br><br>As a Research Engineer on the GPS team, you will tackle one of our most import challenges: building models that transform data into revenue-driving insights and products. This role blends research, engineering, and product responsibilities, requiring you to design statistical models, build scalable ML pipelines, and deploy algorithms directly into our production systems. You will work across teams to solve problems in recommendation, stochastic optimization, and time-series forecasting; while running large A/B tests on new methods we design to push the boundaries of what data can achieve.<br><br>If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role.<br><br><b>Responsibilities:</b><br><br><ul><li>Frame abstract business problems using advanced data science and machine learning algorithms</li><li>Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions</li><li>Own critical research and application development, strengthening the firm's competitive advantage</li><li>Shape cross-team collaboration to advance the firm's data science capabilities</li></ul><br><b>Required Skills:</b><br><br><ul><li>Minimum Bachelor's degree in a quantitative field such as computer science, math, statistics, and physics</li><li>Minimum 3 years of experience with translating mathematical models and algorithms into code (Python and/or C++)</li><li>Strong foundation in probability, statistics, and applied machine learning (NLP, time-series analysis, Generative AI)</li><li>Prior experience working in a highly technical data driven research environment</li><li>Ability to communicate complex topics in a concise and coherent manner</li></ul><br><b>Desired Skills:</b><br><br><ul><li>Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics</li><li>Demonstrated prior experience through work, research or passion projects in RAG, Agentic Frameworks, LLMs, Reinforcement Learning</li><li>Are energized by the high stakes and intensity of dynamic environments and ready to dive in whenever</li><li>Are excited to dive into new technical areas on a regular basis</li></ul><br><b>Shift:</b><br>1st shift (United States of America)<br><br><b>Hours Per Week: </b><br>40<br><br><b>Pay Transparency details</b><br><br>US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)<br><br>Pay and benefits information<br><br>Pay range<br><br>$105,000.00 - $193,700.00 annualized salary, offers to be determined based on experience, education and skill set.<br><br>Discretionary incentive eligible<br><br>This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.<br><br>Benefits<br><br>This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.</p>

MULTIPLE POSITIONS AVAILABLE<br/><br/>Employer: AMAZON ADVERTISING LLC<br/>Offered Position: Data Scientist II<br/>Job Location: New York, New York<br/>Job Number: AMZ9658237<br/><br/>Position Responsibilities:<br/><br/>Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.<br/><br/>40 hours / week, 8:00am-5:00pm, Salary Range $169,541/year to $207,500/year. <br/><br/>Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:<br/>https://www.aboutamazon.com/workplace/employee-benefits.<br/><br/>Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000

Shopbop and Zappos are looking for a customer-obsessed Data Scientist to join the Customer Analytics organization. This role will be at the center of how we understand, reach, and serve our customers across every channel, not as a support function, but as a driving force behind our customer strategy. <br/><br/>You will build the models that power personalization across sites, email, push, and paid media. You will design the causal frameworks that prove what's actually working versus what just looks like it is. You will apply machine learning, LLMs, and advanced optimization techniques to move us from intuition-driven decisions to evidence-driven ones at scale, across Shopbop and Zappos. <br/><br/>The right candidate combines deep technical skills in machine learning and causal inference with genuine curiosity about customer behavior and retail dynamics. They thrive in ambiguity, move fluidly between model development and business strategy, and communicate complex findings clearly to both technical and non-technical audiences. They should have a collaborative mindset that enables them to work effectively across Lifecycle Marketing, Merchandising, Product, Engineering, and other cross-functional partners. This position sits within the Customer Experience organization. <br/><br/>Key job responsibilities<br/>Design, build, and iterate on customer segmentation models that drive product recommendations, content ranking, intent detection, and customer-specific experiences on site, in email, and in push notifications across Shopbop and Zappos. <br/><br/>Apply advanced optimization techniques — including uplift modeling, to improve real-time decisioning across marketing, digital, and channel experiences. <br/><br/>Apply causal inference methods grounded in econometric and machine learning frameworks, including EconML, DoWhy, and CausalML, to estimate the true incremental lift of personalization strategies and marketing interventions through techniques such as double machine learning, meta-learners (T-learner, S-learner, X-learner), and targeted maximum likelihood estimation.<br/><br/>Build and maintain predictive models for customer preferences and individualized treatment effect models that inform business strategy and investment decisions. <br/><br/>Collaborate with Engineering to build scalable data pipelines, feature stores, and real-time serving infrastructure that support ongoing model development and experimentation. <br/><br/>Partner with engineering teams to deploy data science models and solutions into production across email, site, and paid media channels, ensuring models translate from development into customer-facing impact. <br/><br/>Translate complex analytical and modeling results into clear, actionable recommendations for leadership and cross-functional stakeholders, influencing strategy through evidence rather than intuition.

Employer: Metro-Goldwyn-Mayer Studios Inc.<br/>Position: Data Scientist II<br/>Location: New York, NY<br/><br/>Multiple Positions Available:<br/><br/>Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.<br/><br/>(40 hours / week, 8:00am-5:00pm, Salary Range $169541 - $207500)<br/><br/>Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation<br/><br/>

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br/><br/>Amazon Ads Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.<br/><br/>Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities.<br/><br/>We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real-time machine learning services to connect shoppers with right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers.<br/><br/><br/>Key job responsibilities<br/>* Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities<br/>* Develop scalable and effective machine-learning models and optimization strategies to solve business problems<br/>* Run regular A/B experiments, gather data, and perform statistical analysis<br/>* Work closely with software engineers to deliver end-to-end solutions into production<br/>* Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving<br/>* Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products and Brands business

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.   At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.   As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.   Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role As a Senior Data Scientist on the Veeva Compass Patient team, you will be a founding data scientist that owns the greenfield design methodologies and models that tackle large scale complex health data issues. An example of opportunities for this role include:   Tackle the unwinding of the "Super Patient" anomaly, a data-merging challenge causing abandonment of high-value clinical transactions. This person will be excited about having complete latitude to pioneer creative, inference-based models—leveraging techniques ranging from token entropy scoring to clinical transaction pattern recognition—to successfully unravel complex identity overlaps and salvage mission-critical data without relying on the raw PHI.   Build a support structure for natural language search interface on top of medical and pharmacy claims data, for users to query data outside of traditional SQL-like query tools. This person will be excited about applying NLP, ML, and AI principles on a large data set and returning accurate, performant results across a variety of health data attributes.   You are excited about statistics and data science at scale on big data and taking billions of records to build algorithms in a computationally efficient and statistically effective manner while being able to keep the business problems we are working to solve in mind. You’ll work closely with Product Managers, Data Analysts, and Engineering teams to design and deliver features, including performance measurement, anomaly detection, and quality monitoring.   This is a great opportunity to be at the forefront of innovation and help us solve some of the most challenging problems in healthcare data and analytics.