Own end-to-end analytical problems from framing through modeling and stakeholder rollout.
Build predictive and inferential models to improve product and operational decisions.
Partner with Product, Engineering, and Operations to define metrics and drive insights.
Focal Systems is the industry leader in retail AI solutions, using deep learning computer vision to automate and optimize brick and mortar retail. They are a tight-knit team with an ambitious mission, deployed at scale with top retailers worldwide.
Collaborate with Product, Engineering, and Commercial teams as the analytical backbone of your pillar, blending statistical rigor with commercial judgment.
Lead experimentation across your pillar, designing tests, sizing opportunities, and fostering evidence-based iteration.
Create self-serve dashboards and standardize metrics using AI-assisted workflows to accelerate output and focus on high-value problems.
Software Mind develops impactful solutions for global companies, working with tech giants and unicorns on transformative projects. The culture embraces openness, respect, grit, and combines employment with enjoyment among cross-functional engineering teams.
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.
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.
Own collective insights by identifying cross-cutting trends in autonomous AI fundraising and develop original research like benchmarks and trend reports.
Build a public voice and thought leadership strategy, delivering speaking engagements and publishing content to establish Version2.ai as a trusted data authority.
Support sales and customer success with data-backed business cases, client-level performance insights, and customized ROI models for prospects.
Givzey is a fast-growing technology company that provides AI-powered donor engagement for nonprofits, featuring Virtual Engagement Officers (VEOs) that independently manage donor relationships and generate revenue. In three years, the platform has helped raise over $10 million through autonomous engagement, including individual gifts up to $100,000.
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.
Analyze a diverse array of large alternative datasets for insights and signal.
Clean and add structure to semi-structured and unstructured data.
Design and build scalable data products in concert with Data Scientists, Data Engineers, Product Managers, and Financial Analysts.
We are the leading provider of consumer data for some of the largest hedge funds, venture capital and private equity firms, and corporations in the United States and Europe. We are a remote-first company with a distributed environment and flexible working arrangements.
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.
Own Kepler data content end-to-end, driving product success with accurate outputs and increasing client value.
Tackle complex data problems using analytical judgment to refine methodologies and derive key insights.
Use AI and tooling to drive leverage, automating workflows and validating outputs.
YipitData is the leading market research and analytics firm for the disruptive economy, having raised $475M. Its award-winning, people-centric culture emphasizes transparency, ownership, and continuous mastery.
Execute end-to-end data science projects, from problem definition to deployment, building machine learning and NLP solutions for client decision-making.
Design scalable data pipelines and workflows, apply LLM APIs, and integrate cloud services into analytical deliverables.
Partner with senior data scientists, engineers, and client teams to create reusable tools that scale insights across projects.
Inizio Medical is part of Inizio, a global leader in healthcare communications. They help pharmaceutical and healthcare organizations turn complex science into meaningful impact through data, insights, and innovation.
Develop map test designs, metrics, and machine learning models to measure Map Quality using predictive analytics and statistical methods.
Design sampling plans for map quality evaluation and training data creation for ML models, and implement statistical quality metrics.
Collaborate with internal and external stakeholders, acting as a subject matter expert on statistical and experimental design methods.
HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes through innovative solutions. The company has a diverse international team of talented people from 60+ countries, working from tech hubs in Europe, the US, and Asia.
Collaborate with Data Engineers to implement strategic engineering proof of concepts and contribute to technology roadmaps.
Audit datasets for accuracy and reliability, and advise on data models and algorithms for client problems.
Develop and test applications for analytics pipelines and support digital analytics implementations.
Adswerve is an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies unlock new opportunities for growth. Our team of 250+ employees is spread across 26 states and six countries, with a remote, team-oriented culture where everyone contributes and feels valued.
Build statistical models and machine learning solutions to surface trends and benchmarks from employee relations case data.
Apply NLP and text analytics to extract structure from unstructured case notes and improve anonymization pipelines.
Collaborate with Product and Engineering to translate analytical findings into product decisions and customer-facing insights.
HR Acuity provides employee relations case management and investigation software, helping organizations standardize workplace issue reporting. They are a fast-growing, innovative company with a female founder CEO and an inclusive culture.
Design, build, and maintain data pipelines to analyze complex behavioral health datasets.
Implement and fine-tune AI/ML models to identify clinical trends and predictive patterns.
Act as the technical voice on scientific papers, translating data methodologies into clear, publication-ready text.
Our client is a behavioral health technology company using data science and AI to improve mental healthcare outcomes. They are a growing team that values collaboration with clinical experts to drive impact.
Own the design and defense of frontier model evaluations across reasoning, coding, agents, tool use, and multi-modal.
Build benchmark packages with expert-verified ground truth, multi-model headroom results, and rigorous QC.
Recruit, calibrate, and review a pool of subject-matter experts in coding, agentic/tool-use, and STEM/reasoning.
Anyone AI measures frontier model capability through expert-verified evaluation packages. The company operates as a remote team with a focus on rigorous benchmarking and lab collaboration.
Apply advanced statistical analysis, data mining, and machine learning techniques to complex engineering datasets.
Develop data pipelines, automation systems, and scalable infrastructure for real-time and batch processing.
Collaborate with research teams and external partners to drive innovation and scientific impact.
The Accelerator at Princeton includes a portfolio of multiple planned independent and intersecting tools. It is part of Princeton University, an equal opportunity employer with a mission of advancing scientific research and fostering collaboration.
Collaborate on innovative data solutions with a team of consultants, data scientists, and engineers.
Manage end-to-end project value chain including data collection, analysis, ML models, and production.
Communicate technical concepts to business stakeholders and prioritize tasks with deadlines.
Artefact LatAm is a data consulting firm that helps clients transform their data strategy using advanced analytics and AI. They focus on building a diverse and inclusive culture where all voices are heard and valued.
Own end-to-end analytics initiatives from stakeholder discovery through implementation, validation, automation, and business adoption.
Design, write, optimize, and validate advanced SQL queries against large-scale enterprise datasets.
Apply AI and automation to improve BI workflows, including natural language-to-SQL, BI copilots, and automated insight generation.
Yuxi Global is a technology consulting and software development company delivering innovative solutions for business success. Their culture values innovation, accountability, collaboration, and continuous learning, creating opportunities for talented professionals to make a meaningful impact.
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.
Partner with commercial, finance, and executive stakeholders to transform vague business questions into scoped analytical problems.
Design and run rigorous experimental analyses (e.g., Diff-in-Diff, propensity methods) to evaluate promotions and measure causal impact.
Architect and maintain large commercial datasets using SQL and dbt on BigQuery, and build predictive models for seven-figure decisions.
Juul Labs is on a mission to transition the world's billion adult smokers away from combustible cigarettes and combat underage usage. Backed by leading technology investors, they are a diverse team united by this purpose, hiring world-class engineers, scientists, and business professionals.