Data Scientist Jobs in New York, USA

<p><strong>ROLE</strong></p> <p>We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.</p> <p>Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.</p> <p>As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. </p> <p><strong>RESPONSIBILITIES </strong></p> <ul> <li>Onboarding novel datasets from a huge variety of sources into our platform</li> <li>Building processes, tools and frameworks to ingest, clean and deliver datasets</li> <li>Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams</li> <li>Creation of in-house, value added, derived data products for consumption by investment teams</li> <li>Engaging with vendors and internal stakeholders to understand characteristics of datasets</li> <li>Partnering closely with investment teams to ensure their data requirements are met</li> <li>Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams</li> </ul> <p><strong>REQUIREMENTS </strong></p> <ul> <li>PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis</li> <li>Strong programming skills in Python and SQL</li> <li>Experience working with AWS, Linux and Airflow preferred but not required</li> <li>5+ years of experience as a Data Scientist or similar role</li> <li>Experience working with large data sets including predictive modeling</li> <li>Financial industry experience preferred but not required</li> <li>Strong organization, communication and interpersonal skills</li> <li>Intellectual curiosity and enthusiasm for learning</li> <li>Attention to detail and a love of processes</li> <li>Strong oral and written communication skills</li> <li>Ability to multitask and prioritize assignments</li> <li>Commitment to the highest ethical standards</li> </ul>

<p>Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.</p> <p>Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.</p> <p><strong>About the role:</strong></p> <p>Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.</p> <p>As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you’ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.</p> <p>This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.<br><br>​​You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.</p> <p><strong>Work Location: </strong>This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid</p> <p><strong>Pay Transparency: </strong>The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions</li> <li>Own projects end-to-end, including problem definition, implementation, validation, and iteration</li> <li>Deliver high-quality analytical and modeling outputs with limited manager oversight</li> <li>Collaborate closely with data science peers and cross-functional partners across

Data Scientist at Rain. Apply via Ashby.

<div class="content-intro"><p><strong>Our Mission<br></strong></p> <p><span style="font-weight: 400;">Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.</span></p> <p> </p> <p><span style="font-weight: 400;">Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down. </span></p> <p> </p> <p><span style="font-weight: 400;">We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.</span></p> <p> </p></div><p>Your Impact on our Mission:</p> <p>We are seeking a Data Scientist to join Zocdoc’s Marketplace Data Science team. You’ll be embedded within the Acquisition Marketing team, supporting Paid Marketing and CRM teams. In this role, you’ll help shape how we measure, optimize, and scale our patient marketing efforts to drive growth and maximize marketing spend efficiency. You will develop data-driven insights that inform channel strategy, campaign optimization, and spend allocation, working closely with Marketing, Product, and Engineering partners to ensure measurement rigor and actionable outcomes. This is an individual contributor role with significant influence and deep partnership with Marketing and Product leadership.</p> <p>You’ll Enjoy This Role If You…</p> <ul> <li>Are excited to work on analytical projects that directly inform marketing strategy, spend allocation and optimization.</li> <li>Can think critically about campaign performance, optimization, attribution, and experimentation to uncover true drivers of growth.</li> <li>Can translate complex data findings into clear insights and recommendations.</li> <li>Have a passion for applying and evolving analytical methods, using sound statistical approaches, and continuously improving

Data Scientist at Neara. Apply via Ashby.

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify. We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead. In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products.

⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.

Who we are Findigs is on a mission to make renting work for all of us. Renting is one of life’s most critical experiences, yet the process is often slow, opaque, and unfair. We’re changing that by building the first end-to-end platform that turns complex screening into a seamless, high-trust experience for both property managers and renters.  We’re growing fast – fueled by $78M in funding from the investors behind companies like Affirm, Gusto, and Uber. With a data-backed product that allows our customers to make smarter, more predictable decisions, and a team dedicated to transparency and precision, we’re not just improving the rental process; we’re setting the new standard for the entire industry. We’re aiming to double our impact this year, and we need builders, thinkers, and problem-solvers to help us scale. If you’re ready to modernize one of the most essential industries, we’d love for you to be a part of it. The Role  Findigs runs an AI underwriting engine (DecisionAssist) that makes or influences thousands of rental decisions every week. As Data Scientist at Findigs, you will strengthen our data science and applied machine learning depth: owning hands-on model development, experimentation design, and ML-adjacent analysis that directly impacts renter and property manager outcomes. Reporting to the Lead Analytics Engineer, this is a highly technical, high-ownership role for a data scientist who wants to build and improve production models, bring statistical rigor to product decisions, and grow into broader strategic scope as the team evolves. You will partner closely with Product and Engineering to translate real-world rental risk and behavior into models, experiments, and clear insights. Please note, we are unable to sponsor or take over sponsorship of an employment visa at this time.

Data Scientist (Product) at Kalshi. Apply via Ashby.

Staff Data Scientist at Imprint. Apply via Ashby.

Senior Data Scientist, Growth at Ramp. Apply via Ashby.

Data Scientist at Ramp. Apply via Ashby.

<div class="content-intro"><p>At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p></div><p><strong>WHAT YOU'LL DO</strong></p> <p>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:</p> <ul> <li>Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration</li> <li>Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components</li> <li>Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms</li> <li>Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise</li> <li>Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success</li> </ul> <p><strong>WHO YOU ARE</strong></p> <ul> <li>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</li> <li>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</li> <li>Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost,

Data Scientist at Bedrock robotics. Apply via Ashby.

<div class="section page-centered"> <p><strong>WHO WE ARE</strong></p> <p>Nova Credit is a credit infrastructure and analytics company that enables businesses to grow responsibly by harnessing alternative credit data. The company leverages its unique data infrastructure, industry-leading analytics & FCRA-compliance to help lenders fill in the gaps that exist in traditional credit analytics. Nova Credit provides access to the fragmented universe of consumer financial data and transforms it into compliant, actionable risk analytics through a suite of solutions designed to increase conversion through expanded coverage, speed, and reliability. Nova Credit supports over 7,000 businesses including organizations such as HSBC, SoFi, Scotiabank, Appfolio, and Yardi, who work with Nova Credit to make smarter credit decisions through cash flow underwriting with Cash Atlas™, quickly and accurately verify income with Income Navigator, verify income and assets with Eligibility Compass, and reach new-to-country consumers with Credit Passport®. We were named in <a href="https://www.forbes.com/lists/fintech50/">Forbes’ Fintech 50</a> in 2025 and <a href="https://www.novacredit.com/corporate-blog/built-in-honors-nova-credit-in-its-esteemed-2025-best-places-to-work-awards">Built In’s Best Places to Work, 2025</a>.</p> <p>Nova Credit offers a dynamic and inclusive work environment where you can meaningfully impact the lives of people historically excluded from the credit system. We value diversity, intellectual honesty, and innovation, and are committed to supporting our team members' professional growth and development. If you're passionate about leveraging technology to drive financial inclusion, we want to hear from you!</p> <p><strong>THE OPPORTUNITY</strong></p> <p>The Senior Data Scientist role will be part of the Data Science team at Nova Credit, where you will play a crucial role in researching, designing, and developing our global data science strategy. Applying your critical thinking and analytical skills to data, traditional statistical modeling, and modern machine learning techniques, you will serve as a conduit to bring key functions together, including: data partnerships, risk and analytics, product, engineering, and customer success, to develop and implement our core data systems. Working closely with our customer-facing teams, you will demonstrate the strength of our products and services through data analytics and insights. Ultimately, your role is to ensure that Nova Credit’s products deliver high-quality predictive risk signals; every initiative you work on will be crucial to the company’s success.</p> <p><span style="color: rgb(224, 62, 45);"><strong><em>This is a full-time, NYC-based hybrid role (3 days per week in office on Mondays, Tuesdays, and Thursda

Data Scientist at Profound. Apply via Ashby.

<div class="content-intro"><h2><strong>About AlphaSense: </strong></h2> <p style="text-align: justify;"><span style="font-size: 12pt;">The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. </span></p> <p style="text-align: justify;"><span style="font-size: 12pt;">The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!</span></p></div><h3><strong>About the Role: </strong></h3> <p>AlphaSense is seeking a highly analytical, entrepreneurial <strong>Sr. Product Data Scientist</strong> to serve as the analytical engine for our Product Management team and own our most important product analytics questions.</p> <p>Our foundational data engineering and reporting are expertly managed by our technical team in India. We are hiring this NYC-based role to be the "connective tissue" between our raw data and our strategic product decisions. You will not be spending your days building traditional dashboards; instead, your mission is twofold:</p> <ol> <li> <p><strong>Deep Strategic Analysis:</strong> Tackle our most complex product questions (e.g., understanding the true impact of our GenAI features on WAU/DAU retention and user habit formation).</p> </li> <li> <p><strong>AI-Native Data Democratization:</strong> Architect the infrastructure that allows our PMs to query our BigQuery database using natural language. You will be the tip of the spear in transitioning our product analytics model from a "request-and-wait" dashboard culture to a real-time, AI-empowered ecosystem.</p> </li> </ol> <h3><strong>Who You Are:</strong></h3> <ul> <li><strong>Deep Product & Business Intuition: </strong>Demonstrated abilit

Senior Data Scientist, Feed Relevance at Patreon. Apply via Ashby.