Source Job

• Partner with Marketing, Sales, and CX leaders to diagnose challenges and drive growth strategies.
• Develop ML solutions like targeting, segmentation, and LTV prediction to optimize acquisition and retention.
• Mentor junior data scientists and drive best practices in experimentation and analytics.

Mercury Insurance helps people reduce risk and overcome unexpected events, serving customers for over 60 years. It is a mid-size company that values diverse perspectives and offers a supportive culture with growth opportunities.

• Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
• Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
• Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.

Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.

• 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.

• 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.

• Conduct in-depth analysis to shape product-led growth and B2B strategy.
• Leverage AI tools to build self-service analytics enabling stakeholders to access reliable metrics.
• Collaborate with product and engineering teams to drive experimentation culture and practices.

Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and have the backing of some of the world's greatest investors, including OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.

• 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.

• 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.

• Develop machine learning and AI solutions for forecasting, anomaly detection, and operational intelligence.
• Design scalable enterprise data architectures and build ETL/ELT pipelines for analytics and AI workloads.
• Partner with stakeholders to define metrics, lead technical reviews, and mentor team members.

DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. With a proven track record of performance and scalability, DDN fosters a culture of innovation, customer-centricity, and passionate professionals committed to excellence.

• 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.

• 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.

• Drive strategic Payments roadmaps and user journey optimizations through data-informed insights and cross-functional collaboration.
• Design and execute rigorous experimentation frameworks, utilizing advanced statistical modeling and causal inference to quantify business impact.
• Collaborate with platform teams to maintain a resilient payments infrastructure and analyze payment processing trends.

Airbnb connects hosts with guests for unique stays and experiences worldwide. The company has grown to over 5 million hosts and 2 billion guest arrivals, fostering a culture of inclusion and belonging.

• Partner with Product & Engineering to analyze product engagement and the full customer funnel, including acquisition, conversion, retention, and churn.
• Build and maintain statistical models and analyses related to key product use cases such as A/B tests, cohort analysis, and conversion/retention optimization.
• Design, analyze, and interpret experiments (A/B and multivariate tests) across marketing channels and on-site experiences, ensuring statistical rigor and clear recommendations.

Hone is an online medical clinic transforming healthcare and enhancing longevity using scientific advancements. Operating as a fully virtual and remote-first employer, the company values customer focus, execution, candid communication, collaboration, and joy.

• Lead the strategic vision and execution of a unified data organization spanning Data Engineering, Data Science, AI, and Business Intelligence.
• Shape scalable data platforms, drive AI innovation, and build high-performing teams that transform complex data into measurable business value.
• Define technical roadmaps, establish best practices, and collaborate with senior stakeholders to support business growth.

Our partner is a company looking for a Head of Data & AI based in Germany. The size and culture are not specified, but the role is in a fast-paced, innovation-driven environment with a focus on data and AI.

• Work collaboratively with HCD lead to analyze data, form insights and predictions for CMS price transparency initiatives.
• Build predictive models, AI tools, and data visualizations to support product design and automate processes.
• Perform data mining, feature selection, and anomaly detection using machine learning techniques in an agile environment.

Bellese is a mission-driven digital services company pioneering innovative technology solutions in civic healthcare. It fosters a collaborative, remote-first culture and invests in employee well-being with comprehensive benefits.

• Lead analyses translating data into actionable insights for post-campaign reports.
• Build and maintain tagging models using prompt engineering and traditional ML methods.
• Synthesize analyses across programs to inform strategy and contribute to organic social research.

Vocal Media is a company focused on measuring the impact of digital campaigns and uncovering insights for social impact. They are a fully remote team committed to diversity and equity, with a culture that values leadership and inclusivity.

• Lead and develop a multi-team data science organization responsible for complex modeling components for pricing and underwriting.
• Partner with Product Design, Product Management, Underwriting, and other stakeholders to align data science work with business priorities.
• Oversee the development, validation, and implementation of pricing and underwriting model components while managing governance and risk.

Liberty Mutual is a global insurer offering a range of insurance products and services. They employ thousands and emphasize an inclusive culture, workplace flexibility, and professional development supported by Employee Resource Groups.

• Partner with cross-functional teams to define high-impact product questions, success metrics, and decision frameworks.
• Analyze user behavior, creator activity, and content ecosystems to identify opportunities and risks.
• Design and analyze experiments, including A/B tests and causal measurement, to evaluate product launches and strategic initiatives.

VRChat offers a first-of-its-kind, game-changing platform that provides an endless collection of social VR experiences and gives the power of creation to its robust community. The company has raised around $100M to date and its team includes people from Netflix, Twitter, Meta, Microsoft, Roblox, Google, Amazon, Unity, Spotify, Discord, Uber, eBay, Robinhood, Twitch, Zynga and TikTok.

• 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.

• Lead product measurement strategy by owning KPI frameworks and metric definitions that help teams measure long-term user value and business health.
• Generate proactive insights by exploring complex datasets to identify non-obvious user behaviors and quantify their impact on customers and business.
• Shape product strategy with data by synthesizing multiple data sources into clear, evidence-based recommendations for senior leaders.

Ancestry is the global leader in family history, connecting people with their past through a collection of over 65 billion records and a DNA network of over 27 million people. With over 3.5 million subscribers and 40 years of history, the company fosters an inclusive, diverse work environment with a location-flexible approach.