Support rapid A/B tests across GiveDirectly programs to generate actionable insights for program and product improvements.
Ensure experiments are implemented correctly, measure outcomes reliably, and produce clear, credible results in collaboration with cross-functional teams.
Translate experimental findings into well-structured learning products that guide both immediate decisions and long-term program strategy.
Manage end-to-end technical delivery for program launches, including scoping, requirements, configuration, QA, and closeout.
Collaborate with Operations, Product, Research, Engineering, and Data teams to align systems with program objectives.
Troubleshoot issues across the tech stack, own technical training, and lead retrospectives to drive improvements.
GiveDirectly gives cash directly to people living in poverty, with over $1B delivered to more than 2 million people across 15 countries. The team spans 20+ countries and 69 languages, with a candid, analytical, and non-hierarchical culture focused on rigorous impact.
Own core customer and revenue metrics, definitions, and the metrics catalog that teams rely on.
Lead the experimentation roadmap across the customer journey, setting standards for test design and analysis.
Translate business questions into clear requirements and turn insight into confident leadership recommendations.
Dr. Berg Nutritionals is a health and wellness leader addressing root causes through education, supplements, and holistic practices. We're a globally recognized, fast-growing brand with over 49 million social followers.
Own and deliver advanced analytics for product and business domains using large datasets.
Design, execute, and analyze A/B experiments to measure feature impact and inform product iteration.
Build metrics, dashboards, and readouts that enable stakeholders to make informed decisions.
Maleda Tech is a company behind a consumer-facing mobile app within a global marketplace. The team values independent, execution-focused work and close collaboration with product and business stakeholders.
Drive data-informed decision-making across multiple international SaaS products.
Develop and implement robust A/B testing frameworks and analyze experiments to guide product strategy.
Collaborate with Data, Product, Marketing, and Payments teams to optimize customer lifetime value and payment performance.
They develop and operate multiple international SaaS products, using data to drive growth and customer-centric decisions. The company is fast-growing and fully remote across Europe, with a collaborative, inclusive culture that values ownership, integrity, and continuous learning.
Lead and develop a team of decision scientists supporting ZipRecruiter's Enterprise area, setting standards and driving career growth.
Personally lead strategic analyses on the enterprise customer lifecycle, from performance marketing through ATS integrations and candidate-quality signals.
Measure GTM and sales-led initiatives using rigorous causal methods and communicate recommendations to technical and non-technical partners.
ZipRecruiter is a leading online employment marketplace powered by AI-driven smart matching technology that connects millions of businesses and job seekers. The company has the #1 rated job search app on iOS and Android and a collaborative, fast-paced culture.
Design and extend method templates for residence location inference from MNO data.
Support technical conversations with operators and write clear specifications for their engineers.
Run workshops, adapt methods to data constraints, and build internal training materials.
GiveDirectly fights poverty by giving cash directly to people in need, trusting them to decide what they need. With over $1B delivered to 2+ million people and a team spanning 20+ countries, the culture is candid, analytical, and non-hierarchical.
Co-design, develop, and scale solutions for AIR's Innovation Lab, strengthening effective practices across technical and operational workflows.
Lead end-to-end quantitative workflows, including reproducible analytic environments, data management, quality assurance, and advanced statistical analyses.
Translate technical findings into clear, actionable products for clients and partners while expanding responsible machine learning and AI applications.
American Institutes for Research is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address pressing challenges. Founded in 1946 and headquartered in Arlington, Virginia, the organization generates evidence and applies data-driven solutions to expand opportunities and improve lives.
Lead end-to-end product analytics for consumer-facing products and strategic initiatives.
Design, execute, and evaluate A/B and multivariate experiments to drive growth and retention.
Translate complex data into actionable recommendations for product and business stakeholders.
They build intuitive, reliable, and data-driven digital financial products. The team is remote-first and operates in a high-growth startup environment with a collaborative culture.
Define metrics and design experiments to drive product decisions based on evidence.
Build infrastructure for testing at scale and automate the experimentation process.
Collaborate with product managers and engineers to identify growth opportunities and bring recommendations.
Finom is a European tech startup developing an all-in-one financial B2B platform integrating banking, accounting, and invoicing. With around $346 million total funding, we nurture innovation and an inspiring work environment where bold ideas thrive.
Lead experimentation across product squads to shape hypotheses, design tests, and deliver clear readouts.
Design and maintain product metrics and dashboards to help teams track what matters.
Deliver deep-dive analyses on patient and clinician behavior to drive product decisions.
Ophelia is a healthcare startup making evidence-based treatment for opioid use disorder accessible through a telehealth platform. The company is a small, venture-backed team of physicians, scientists, and entrepreneurs operating in 16 states.
Drive mobile product strategy through advanced SQL, audience behavior analysis, and rigorous experimentation.
Own the experimentation lifecycle from A/B test design to evaluation and actionable recommendations.
Mentor colleagues and build self-service tools to elevate analytical practices across the organization.
The company is a mission-driven multimedia organization shaping the future of digital news, information, and audio experiences. It fosters a data-driven culture where cross-functional teams collaborate to inform and engage audiences nationwide.
Own the MAU forecast and growth model that guides leadership planning.
Set the standard for experimentation and causal inference across the data team.
Scale advanced analytics through AI and mentor senior data scientists.
Life360 provides a mobile app and tracking devices that help families stay connected and safe. With 100+ million users and a remote-first team of over 500, the culture emphasizes integrity, directness, and high impact.
Own and evolve the product metrics tree, ensuring consistent definitions and alignment with the north-star metric.
Design and analyze A/B tests from experiment setup through statistical validation and actionable recommendations.
Partner with product and functional leads to investigate anomalies, identify growth opportunities, and translate data into strategic insights.
The partner company leverages data to drive product growth and decisions. It maintains a collaborative, remote-first culture with a focus on metrics and experimentation.
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.
Manage mobile programmatic campaigns across gaming, fintech, and betting, optimizing toward CPA/ROAS targets.
Use SQL and LLM-powered workflows to analyze campaign data and build dashboards.
Collaborate with CSMs and senior analysts to deliver client goals and support QBR preparations.
Kayzen is a mobile demand-side platform democratizing programmatic advertising for leading apps, agencies, and brands. With a multinational, driven team across Germany, India, Argentina, and more, they prioritize performance, transparency, and control.
Own the definition and evolution of success metrics for all user-facing surfaces, balancing short-term and long-term member value.
Define and maintain business metrics, semantic layers, and data models to ensure consistency and trust across the team.
Influence product direction by translating insights into clear recommendations and building a culture of high-fidelity experimentation.
Raya is a technology company focused on providing utility through its apps Raya and Places, which help users discover exciting people and places globally. The team operates like a startup with heavy leadership investment, and this role is the first dedicated Data Scientist supported by a dedicated Data Engineer.
Analyze user behavior and funnels to identify friction and optimization opportunities.
Design, run, and analyze A/B, multivariate, and split URL tests for client websites.
Present test results and recommendations directly to clients and own the testing roadmap.
Foundry for Good builds software and marketing tools that help nonprofits and mission-driven organizations succeed. This self-funded, people-first company has about 100 team members across the US and Philippines and a 95% employee retention rate.
Act as a trusted research advisor, guiding customers on study design and methodology.
Manage research projects end-to-end, from scoping to data collection and analysis.
Partner with teams to deliver high-quality insights and shape Managed Services.
Prolific powers the world's most trusted infrastructure for human data, connecting researchers with a global pool of participants for academia and AI. The company is mission-driven, serving tens of thousands of researchers from top universities globally.
Drive data-informed decision-making for the NPR App with advanced SQL mastery and raw data engineering.
Lead the experimentation lifecycle with A/B testing frameworks and translate results into product recommendations.
Provide foundational trend reporting and deep-dive mobile app analytics to product managers and stakeholders.
NPR is a thriving, mission-driven multimedia organization producing award-winning news, information, and music programming in partnership with hundreds of independent public radio stations. With a workforce of innovators and leaders across journalism, digital media, and IT, NPR is building an inclusive workplace where collaboration and diversity are key to its success.
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.