Data Scientist Jobs in Chicago, USA

<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,

Staff Data Scientist, ML (People Analytics & Insights) at Robinhood. Apply directly on Robinhood's jobs board.

&lt;h2&gt;&lt;strong&gt;&lt;span data-contrast=&quot;auto&quot;&gt;The Role&lt;/span&gt;&lt;/strong&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/h2&gt; &lt;p&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Green Thumb Industries is building a data science function that powers real operational decisions — demand forecasting that drives inventory positioning, analytics science that surfaces&amp;nbsp;what&#39;s&amp;nbsp;happening in our stores, and feature engineering that makes every model smarter over time.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt; &lt;p&gt;&lt;span data-contrast=&quot;auto&quot;&gt;This is a hands-on individual contributor role on a small, high-output, high-visibility team. You will spend your time building, testing, and&amp;nbsp;maintaining&amp;nbsp;ML models, engineering features, and translating data into answers that the business can act on. You will work closely with the Manager of Data Engineering, AI &amp;amp; ML, who will guide your technical direction and business context while you grow into shaping both. The systems are already starting to get built — your job is to push them further.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;This is a hybrid role and requires in office work 1 day per week every 2 weeks at our office in River North in downtown Chicago.&amp;nbsp;&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt; &lt;h2&gt;&lt;span data-contrast=&quot;none&quot;&gt;Responsibilities&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:-5,&amp;quot;335559739&amp;quot;:160,&amp;quot;335559740&amp;quot;:240,&amp;quot;335559991&amp;quot;:10}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/h2&gt; &lt;p&gt;&lt;strong&gt;&lt;span data-contrast=&quot;auto&quot;&gt;ML Forecasting&lt;/span&gt;&lt;/strong&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt; &lt;ul&gt; &lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;1&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;1&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Build,&amp;nbsp;validate, and refine demand forecasting models for GTI&#39;s retail, wholesale, and other emerging business verticals across daily, weekly, monthly, and quarterly forecast horizons&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt; &lt;/ul&gt; &lt;ul&gt; &lt;li data-leveltext=&quot;&quot; da

&lt;p&gt;&lt;em&gt;We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.&lt;/em&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;About the role:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;As a Senior Data Scientist, you will be one of Enova’s most valuable team members. You will develop, enhance and test the company’s models for use in determining the appropriate lending criteria and verification procedures. You will perform independent model validations to evaluate model fit for purpose, conceptual soundness, mathematical theory and assumptions, data/assumptions, and output reasonableness. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Perform model validation of credit risk models&lt;/li&gt; &lt;li&gt;Prepare model validation reports and write technical documentation&lt;/li&gt; &lt;li&gt;Assist analysts in validating and preparing their models for production&lt;/li&gt; &lt;li&gt;Interact with model stakeholders and business partners to gather information about credit models and risk acceptances&lt;/li&gt; &lt;li&gt;Support model releases to ensure they are quickly and accurately put into production&lt;/li&gt; &lt;li&gt;Monitor model performance dashboards, build alerts, and escalate concerns as appropriate&lt;/li&gt; &lt;li&gt;Support and improve automated model training processes by using data manipulation, and machine learning skills&lt;/li&gt; &lt;li&gt;Use your programming skills to develop and test programs for custom tool development&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Requirements:&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Experience in developing advanced credit risk models&lt;/li&gt; &lt;li&gt;5+ years of experience in quantitative analysis in the financial services industry is preferred but not required&lt;/li&gt; &lt;li&gt;Knowledge of statistical models in risk management&lt;/li&gt; &lt;li&gt;Advanced programming skills in Python and the ability to write customized programs for meaningful data analysis&lt;/li&gt; &lt;li&gt;Experience working with relational databases, such as SQL&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Compensation:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;The budgeted annual salary range for this position is&lt;strong&gt; &lt;/strong&gt;$96,000 to $125,000&lt;strong&gt;.&lt;/strong&gt; Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may inclu

&lt;p&gt;&lt;strong&gt;&lt;u&gt;About Cubist&lt;/u&gt;&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;&lt;u&gt;Role&lt;/u&gt;&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;&lt;u&gt;Responsibilities&lt;/u&gt;&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Conduct thorough data analysis under the mentorship of a senior quantitative researcher.&lt;/li&gt; &lt;li&gt;Generate novel ideas for enhanced proprietary data products.&lt;/li&gt; &lt;li&gt;Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.&lt;/li&gt; &lt;li&gt;Transform firm approved raw datasets into robust features for our systematic models.&lt;/li&gt; &lt;li&gt;Build analytical tools to supplement our shared research framework.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;&lt;u&gt;Requirements&lt;/u&gt;&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.&lt;/li&gt; &lt;li&gt;Programming in Python (or a comparable language) and working knowledge of SQL.&lt;/li&gt; &lt;li&gt;Strong analytical and quantitative skills.&lt;/li&gt; &lt;li&gt;Willingness to take ownership of their work.&lt;/li&gt; &lt;li&gt;Ability to work both independently and collaboratively within a team.&lt;/li&gt; &lt;li&gt;Strong desire to deliver high quality results in a timely fashion.&lt;/li&gt; &lt;li&gt;High attention to detail.&lt;/li&gt; &lt;li&gt;Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus&lt;/li&gt; &lt;li&gt;Commitment to the highest ethical standards.&lt;/li&gt; &lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;About Attain&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;Built for consumers and companies, alike.&amp;nbsp;&lt;/p&gt; &lt;p&gt;Klover’s engineering team powers one of the fastest-growing fintech platforms in the U.S., supporting over one million active users each month. Our systems process and move more than $1.5 billion annually, enabling real-time access to financial tools, rewards, and services that help people improve their day-to-day lives.&lt;/p&gt; &lt;p&gt;As part of this team, you’ll help design, build, and scale the systems that underpin Klover’s core products and platform. You’ll work on high-impact, production-grade systems that prioritize reliability, security, and performance, and that integrate with a broad ecosystem of internal and external services. The work you do will directly shape how users interact with Klover’s products, access their money, and experience transparent, low-fee financial services.&lt;/p&gt; &lt;p&gt;Klover engineers collaborate closely with colleagues across backend, frontend, data science, and product teams to deliver scalable, high-quality solutions for a rapidly growing user base. You’ll have the opportunity to work with modern technologies and architectures while helping define and evolve the next generation of inclusive, data-powered financial products—building systems and interfaces that emphasize reliability, privacy, and performance at scale.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;About the role&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;Attain is seeking a Senior/Staff Data Scientist to support the growing needs of our suite of B2C financial services. This role will be highly hands-on, focused on building, improving, validating, and deploying predictive models that power consumer decisioning and business optimization across our app portfolio.&lt;/p&gt; &lt;p&gt;You will work on advanced machine learning and statistical modeling problems, including cash-flow based credit decisioning for our earned wage advance product, Klover, as well as consumer behavior modeling, transaction categorization, paycheck detection, fraud scoring, churn prediction, and other high-impact predictive modeling use cases. The ideal candidate combines strong quantitative fundamentals with practical experience building models and analytical systems from scratch.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;&lt;em&gt;Attain Office Hybrid Schedule:&amp;nbsp;&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;em&gt;Chicago, IL: &lt;/em&gt;&lt;em&gt;4 days in-office; 1 day remote&lt;/em&gt;&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;What a typical week might look like&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Hands-on development of ML and statistical models at the core of our EWA product, with a focus on fast, rigorous, and high-quality execution&lt;/li&gt; &lt;li&gt;Build and improve predictive models across consumer decisioning, consumer behavior modeling, fraud, churn, transaction intelligence, and other business-critical us

&lt;div&gt;&lt;em&gt;We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.&amp;nbsp;&lt;/em&gt;&lt;/div&gt; &lt;div&gt;&amp;nbsp;&lt;/div&gt; &lt;div&gt;&lt;strong&gt;About the role:&lt;/strong&gt;&lt;br&gt;We are seeking a talented Data Scientist to join our Credit Risk Modeling team. In this role, you will develop, enhance and test our models for use in new customer acquisition and managing our existing customer portfolio. Our team focuses on ways to drive growth while balancing risk. You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the credit models and offer generation that power Enova’s business. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements, and support implementation.&lt;br&gt;Our models power our lending decisions, providing critical risk insight to enable competitive and profitable loan offers. Your role will be essential in improving and managing this fundamental area of our business.&lt;br&gt;&lt;strong&gt;Key responsibilities:&lt;/strong&gt;&lt;/div&gt; &lt;ul&gt; &lt;li&gt;Develop and refine proprietary models to assess customer credit profile&lt;/li&gt; &lt;li&gt;Collaborate closely with the Strategy and Operations team to drive new initiatives&lt;/li&gt; &lt;li&gt;Design and implement A/B testing frameworks to evaluate the performance of our models and product configurations, analyzing outcomes to drive continuous improvement&lt;/li&gt; &lt;li&gt;Communicate insights and recommendations to senior management, providing a data-driven perspective on customer risk and product development strategies&lt;/li&gt; &lt;/ul&gt; &lt;div&gt;&lt;strong&gt;Requirements:&lt;/strong&gt;&lt;/div&gt; &lt;ul&gt; &lt;li&gt;Degree in Statistics, Mathematics, Economics, Computer Science, or a related field&lt;/li&gt; &lt;li&gt;3+ years of experience in Data Science, Analytics or related field&lt;/li&gt; &lt;li&gt;Advanced programming skills and the ability to write customized programs for meaningful data analysis and predictive modeling (Python)&lt;/li&gt; &lt;li&gt;Experience working with relational databases, such as SQL&lt;/li&gt; &lt;li&gt;Excellent knowledge in applied statistical methods and machine learning models&lt;/li&gt; &lt;li&gt;Ability to improve your work flow and delivery timelines with AI tools.&lt;/li&gt; &lt;li&gt;Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment&lt;/li&gt; &lt;li&gt;Experience in financial services, fintech, or a related industry preferred&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Compensation:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;The budgeted annual salary range for this position is&lt;strong&gt;&amp;nbsp;&lt;/strong&gt;$87,000 to $110,000&lt;strong

&lt;p&gt;&lt;em&gt;We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.&lt;/em&gt;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;About the role:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;As a Data Scientist, you will be one of Enova’s most valuable team members. You will develop, enhance and test the company’s models for use in determining the appropriate lending criteria and verification procedures. You will perform independent model validations to evaluate model fit for purpose, conceptual soundness, mathematical theory and assumptions, data/assumptions, and output reasonableness. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements and support implementation.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Perform model validation of credit risk models&lt;/li&gt; &lt;li&gt;Prepare model validation reports and write technical documentation&lt;/li&gt; &lt;li&gt;Assist analysts in validating and preparing their models for production&lt;/li&gt; &lt;li&gt;Interact with model stakeholders and business partners to gather information about credit models and risk acceptances&lt;/li&gt; &lt;li&gt;Support model releases to ensure they are quickly and accurately put into production&lt;/li&gt; &lt;li&gt;Monitor model performance dashboards, build alerts, and escalate concerns as appropriate&lt;/li&gt; &lt;li&gt;Support and improve automated model training processes by using data manipulation, and machine learning skills&lt;/li&gt; &lt;li&gt;Use your programming skills to develop and test programs for custom tool development&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Requirements:&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Experience in developing advanced credit risk models&lt;/li&gt; &lt;li&gt;3+ years of experience in quantitative analysis in the financial services industry is preferred but not required&lt;/li&gt; &lt;li&gt;Knowledge of statistical models in risk management&lt;/li&gt; &lt;li&gt;Advanced programming skills in Python and the ability to write customized programs for meaningful data analysis&lt;/li&gt; &lt;li&gt;Experience working with relational databases, such as SQL&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;Compensation:&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;The budgeted annual salary range for this position is&lt;strong&gt; &lt;/strong&gt;$87,000 to $110,000&lt;strong&gt;.&lt;/strong&gt; Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bo

Who We Are Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year. Our success is a testament to our remarkable team and what we’re building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. Who We Want The Data Scientist II will work closely with Data Science, Product, and Engineering to build and improve ML and AI systems that drive operational value. This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based systems who is ready to take on meaningful technical ownership. You'll contribute to the full lifecycle of production ML systems — from evaluation and measurement through development, deployment, and iteration — with a particular focus on text and language-based applications. The ideal candidate is comfortable operating in ambiguous problem spaces, can translate loosely defined business needs into concrete technical approaches, and communicates findings clearly to both technical and non-technical audiences.

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.&lt;/p&gt; &lt;p&gt;We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.&lt;/p&gt; &lt;p&gt;To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.&lt;/p&gt; &lt;p&gt;Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.&lt;/p&gt; &lt;p&gt;If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&lt;strong&gt;WHAT YOU&#39;LL DO&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration&lt;/li&gt; &lt;li&gt;Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components&lt;/li&gt; &lt;li&gt;Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms&lt;/li&gt; &lt;li&gt;Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise&lt;/li&gt; &lt;li&gt;Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&lt;strong&gt;WHO YOU ARE&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred&lt;/li&gt; &lt;li&gt;Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred&lt;/li&gt; &lt;li&gt;Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost,

Who We Are Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year. Our success is a testament to our remarkable team and what we’re building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment.   Who We Want The Senior Data Scientist will work closely with Product and Engineering to translate business needs into data and modeling solutions that contribute to a positive business impact. This position requires an experienced professional who provides technical leadership to their team and oversees the production of machine-learning systems.