Source Job

• Partner with customers and internal teams to translate marketing measurement questions into data science problems.
• Analyze model and experiment results, investigate unexpected outcomes, and identify data, modeling, or measurement issues.
• Translate complex statistical and modeling results into clear insights and actionable recommendations.

Northbeam builds an advanced marketing intelligence platform for eCommerce brands, using attribution modeling and customizable dashboards. The company is growing rapidly with a strong product-market fit and a remote-friendly, collaborative culture.

• Lead business-critical investigations across the customer journey, turning findings into actionable recommendations.
• Analyze marketing channel performance, attribution, and incrementality to identify growth opportunities.
• Design and evaluate A/B tests with Product and Growth teams using statistical and causal inference methods.

This partner company operates a global digital product used by more than 60 million people monthly. It maintains a collaborative, international, and innovation-driven culture with a lean, high-impact Data team.

• Lead hands-on data science to turn revenue opportunities into production ML systems.
• Apply causal inference, experimentation, and advanced analytics to guide product decisions.
• Mentor data scientists and set technical best practices in a collaborative, remote-first environment.

This company builds consumer technology products serving over 100 million monthly active users, focusing on revenue growth through personalization, experimentation, and subscriptions. It operates with a remote-first, AI-native culture that values direct communication, integrity, and high-impact execution.

• Set the scientific direction for high-impact consumer problems spanning discovery, relevance, personalization, user growth, retention, content, and communities.
• Build durable models and frameworks that represent users, content, communities, and their relationships over time for systems operating at scale.
• Drive experimentation strategy and measurement systems to distinguish durable improvement from temporary metric movement.

Reddit is a community of communities, built on shared interests, passion, and trust, and home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information, fostering a culture of transparency and user-driven growth.

• Set the scientific direction for high-impact consumer problems spanning discovery, relevance, personalization, user growth, retention, content, and communities.
• Build durable models and frameworks that represent users, content, communities, and their relationships over time.
• Develop measurement systems and experimentation strategies to distinguish durable improvement from temporary metric movement.

Reddit is a community of communities built on shared interests and authentic conversations. With 100,000+ active communities and about 130 million daily active unique visitors, it is one of the internet's largest sources of information.

• Own the statistical rigor of DSI's measurement framework, including model specification, validation, and diagnostics.
• Design and launch incrementality tests across paid channels, including power analysis before every launch.
• Build and calibrate media mix models for priority clients to deliver response curves and budget scenarios.

Lunar Solar Group is a high-impact advertising agency that helps consumer-focused brands scale through disruptive marketing strategies. We are a fast-moving, highly collaborative team of senior strategists, creatives, and technologists who value ownership, rigor, and curiosity.

• Lead data science initiatives on the Document, Accounting, Takeoffs and Pro Commerce tracks, defining key metrics and driving product strategy.
• Design and analyze A/B tests and causal inference experiments, applying machine learning methods to deliver actionable insights.
• Dig into complex datasets, translate findings into clear narratives and dashboards, and provide technical guidance to junior team members.

Houzz is the leading platform for home remodeling and design, providing an all-in-one software solution for industry professionals and tools for homeowners. It is a community-centric, innovative tech company with a mission-driven culture focused on making home renovation and design more productive for everyone.

• Own the causal read on core revenue retention and add-on monetization across CPaaS, AI add-ons, and other revenue surfaces.
• Apply rigorous causal inference methods to separate real signal from selection bias, seasonality, and mix artifacts.
• Set the technical direction for revenue retention measurement and act as a trusted advisor to Customer Success, Finance, and CPaaS leaders.

HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership.

• Develop and deploy machine learning and AI solutions for advertising measurement products, collaborating with cross-functional teams.
• Take ownership of core advertising measurement products, expanding capabilities and pushing performance boundaries.
• Explore data, prototype ideas, run experiments, and propose new products or advancements to maximize ROI.

InMarket is a leader in 360-degree consumer intelligence and real-time activation for top brands, offering data-driven marketing platforms. With thousands of clients and a team that values innovation, InMarket fosters an AI-forward culture and has won awards for its advertising measurement platform.

• Define and own how Alpaca measures growth across the entire customer journey, from acquisition to monetization.
• Run the growth experimentation engine, designing A/B tests and causal studies to drive key business metrics.
• Build retention models, LTV forecasts, and unit-economic views to identify compounding levers for growth.

Alpaca is a global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, and more, serving hundreds of financial institutions across 40 countries. With $400 million in funding and a diverse team of over 400 globally distributed members, we are committed to open-source contributions and fostering a vibrant community.

• Lead the analytical strategy to improve member and provider experiences within Spring Practice, leveraging AI and predictive modeling.
• Drive rapid experimentation with a focus on quasi-experimental methods, validate improvements, and provide clear recommendations.
• Act as an embedded technical leader, partnering with product and design teams to define success metrics and ensure data-driven decision-making.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health, offering an AI-native platform for personalized care. The company reaches over 170 million people worldwide and fosters a culture of innovation, inclusivity, and data-driven collaboration.

• Lead deep investigations into revenue opportunities and production ML systems for personalization, experimentation, and automation.
• Partner with Product, Engineering, and Data teams to integrate ML features and ensure their performance is measured.
• Mentor data scientists and drive best practices for advanced analytics and ML development.

Life360 is a mobile app and device company helping families protect loved ones, pets, and valuables via location sharing and safety features. With over 102 million users and 500+ remote-first employees, its culture is mission-driven and AI-native.