Source Job

• Define the long-term data science strategy for ads measurement, signal quality, identity, and privacy, establishing how Reddit evaluates advertiser value.
• Build trusted measurement and evaluation frameworks for lift, attribution, and privacy-aware measurement, guiding product and engineering investments.
• Advance experimentation and causal inference at scale, mentor senior data scientists, and influence cross-functional strategy.

Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and approximately 126 million daily active unique visitors, it is one of the internet's largest sources of information.

• Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
• Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
• Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.

Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.

• Own the full lifecycle of statistical and machine learning model development, from data exploration to deployment.
• Improve efficiency in credit risk, fraud, marketing, and collections by deploying modeling solutions.
• Research and develop new methods and tools to improve the business and present results to leadership.

Attain Finance is a consumer credit lender with over 50 years of expertise providing credit solutions across the U.S. and Canada. The company is a leading lender with a dynamic, collaborative culture and a portfolio of distinguished brands.

• Build models and data products that go from prototype to production, including generative models and subscriber-behavior predictions.
• Dig into large, messy datasets to uncover trends and patterns, and contribute to the core Python data science library.
• Build LLM-powered pipelines and agents, with comprehensive evals to validate model responses.

DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. With over 8 years in venture-backed ecosystems, they are trusted to accelerate delivery and scale teams efficiently.

• Apply statistical, machine learning, and data mining techniques to large health data sets to build new products and methodologies.
• Collaborate with Product Managers, Analysts, and Engineers to deliver and iterate on data-driven product solutions.
• Explore high-volume data to identify signals, patterns, and relationships to infer insights from imperfect data.

Veeva Systems is a mission-driven pioneer in industry cloud, helping life sciences companies accelerate therapy delivery to patients. As one of the fastest-growing SaaS companies, it surpassed $3B in revenue with a culture valuing Do the Right Thing, Customer Success, Employee Success, and Speed.

• Manage, mentor, and grow a team of data scientists while fostering team development.
• Collaborate on complex problems using R, Python, or SQL to optimize data processing and derive insights.
• Communicate findings and engage with internal and external stakeholders to develop tailored solutions.

iSpot is a TV ad measurement and analytics startup delivering valuable insights to clients. It is a fast-growing Seattle-based company with a collaborative culture, competitive compensation, and a focus on innovation.

• Partner with business leaders to identify opportunities and develop analytical strategies.
• Create predictive models and scalable machine learning solutions to optimize customer acquisition and retention.
• Translate complex data findings into clear business recommendations and drive experimentation.

This company leverages advanced data science and machine learning to solve complex business challenges. It fosters a collaborative and inclusive culture focused on innovation, growth, and teamwork.

• Lead the design and execution of data science projects, ensuring high-impact analytics solutions.
• Partner with client stakeholders to develop data-driven strategies and present findings to executives.
• Mentor team members and influence data governance and best practices within the organization.

Excella is a transformative technology firm that helps organizations unlock new possibilities. They are committed to developing talent and providing opportunities for career growth at every stage, with a collaborative team dedicated to solving complex problems.

• Collaborate with business leaders to translate high-impact business problems into data science and data analysis projects.
• Develop and implement predictive models and machine learning algorithms for forecasting, customer segmentation, and optimization.
• Perform exploratory data analysis and create compelling dashboards and reports for both technical and non-technical audiences.

Concurrent Technologies Corporation is an independent, nonprofit applied scientific research and development organization. It fosters a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission.

• Lead cross-functional teams to drive revenue initiatives through data-driven recommendations.
• Own and identify innovative strategies to maximize revenue and enhance client acquisition.
• Improve quantitative analysis techniques and data infrastructure to uncover revenue opportunities.

Extend provides AI-driven solutions for retailers to enhance post-purchase experience, including automated customer service, returns, fulfillment, and fraud detection. The company works with over 1,000 merchant partners across various industries and is backed by prominent technology investors.

• Lead complex analytical, predictive, and applied AI workstreams with high independence.
• Define data science approaches and modeling strategies for high-value business problems.
• Mentor junior practitioners and improve delivery quality through best practices.

Valtech is the experience innovation company that helps brands unlock new value in an increasingly digital world. With a global, borderless team and a culture fostering creativity and autonomy, they partner with leading companies like L'Oréal and Audi.

• Design, build, and deploy production-grade machine learning and AI systems for customer-facing analytics and automation.
• Develop and operationalize end-to-end ML workflows from data preparation to model monitoring.
• Collaborate with Product and Engineering teams to identify high-impact use cases and deliver AI-powered data products.

Boulevard provides a client experience platform for appointment-based self-care businesses, empowering customers to give clients magical moments. The company values diversity, experimentation, and simplicity, and celebrates diverse backgrounds.

• Lead and scale a high-performing team of Analysts and Data Scientists embedded within Product domains.
• Set the bar for analytical quality, experimentation rigor, and data science application across multiple product areas.
• Partner with senior Product, Engineering, and Commercial leaders to shape strategy and drive measurable business impact.

Tripadvisor is the world's largest online travel site, visited by 390 million travelers each month. Its experiences business, Viator, is a fast-evolving, highly data-driven organization focused on building great products through data.

• Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
• Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
• Mentor junior data scientists and influence technical decisions within the team.

OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.

• Build bleeding-edge agentic analytics to bring order and clarity to real world data.
• Define AI impact measurement and own the end-to-end analytics story around adoption, growth, and impact.
• Design and run experiments, including A/B tests and causal inference studies, that directly map to product and go-to-market decisions.

We are the leading security-first enterprise AI company, building cutting-edge foundation AI models and end-to-end products for real-world business problems. We are a global team of researchers, engineers, designers, and more, passionate about our craft, with offices in Toronto, San Francisco, London, New York City, Montreal, Seoul, Germany, and Paris.

• Build, maintain, and improve decision systems and predictive models key to competitive advantage.
• Explore new data sources, design experiments, and prototype solutions using cutting-edge technologies.
• Identify and implement advanced analytics methods as part of a collegial data science team.

Purchasing Power is a leading employee purchase program that helps people buy products through payroll deduction, part of PROG Holdings (NYSE: PRG), a FinTech holding company. We're an entrepreneurial, high-ownership team building data-driven products, moving fast with data-grounded decisions.

• Leverage advanced analytics, machine learning, and large-scale data to design innovative risk solutions and tackle complex fraud challenges.
• Work closely with clients and cross-functional teams to optimize decision-making and improve product performance.
• Drive a data-first culture by promoting analytical thinking and data-driven decision-making across teams and client engagements.

Our partner is a fast-growing, remote-first company at the forefront of fraud prevention and financial risk intelligence. They offer a high-growth international environment with world-class professionals and a supportive culture.

• Lead complex data science projects to measure impact and improve government services.
• Apply AI/ML techniques and generative AI to enhance product delivery.
• Collaborate cross-functionally to translate data insights into actionable improvements.

Code for America uses technology to improve government services for all people. They are a nonprofit with a collaborative, cross-functional team dedicated to transparency and fairness.

• Lead and mentor a high-performing data science team at the intersection of blockchain, intelligence, and machine learning.
• Drive technical innovation across a diverse stack including Airflow, BigQuery, Kafka, and Python.
• Collaborate cross-functionally to transform raw blockchain data into insights for TRM's products and customers.

TRM Labs provides AI-powered intelligence solutions for public and private sector agencies to investigate and disrupt crime. It is a Series C company with $220M in total funding, backed by Blockchain Capital and Goldman Sachs, operating as a distributed-first company.

• Design robust feature representations from implicit behavioral data to capture true user intent.
• Architect sequential models that adapt to shifting user preferences for personalized recommendations.
• Integrate ML scores with operations-research engines to balance personalization with business constraints.

Hungryroot uses AI to build a consumer-centric food and wellness company, acting as a personal assistant for healthy living. They are a distributed team of top talent across 28+ U.S. states with a remote-first culture emphasizing collaboration and flexibility.