Use data, experimentation, and machine learning to solve complex product and business problems at high-growth startups.
Partner with product, engineering, and business leaders to identify high-impact opportunities for data science.
Develop predictive models, design experiments, and translate analyses into clear recommendations for stakeholders.
SignalFire is a venture capital firm that partners with top early-stage startups shaping the future of technology. With a portfolio of over 200 innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS, they are looking to connect with exceptional data scientists who are excited about using data, experimentation, and machine learning to solve complex problems.
Shape Mozilla's most important business decisions with rigorous, data-driven insights.
Build trusted relationships with senior leaders and cross-functional partners to drive alignment.
Design and deliver sophisticated analytical solutions for complex, high-dimensional data problems.
Mozilla Corporation is a non-profit-backed technology company that has shaped the internet for over 25 years, building pioneering brands like Firefox. With more than 225 million monthly users worldwide, they are a mission-driven organization focused on open-source software, privacy, and security.
Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform.
Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics.
Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what's happening and why, and what next steps should be.
Jerry.ai is building the first app to manage car and home ownership, starting with car insurance and expanding into adjacent verticals. The company has 5M+ customers, raised $240M+, and became profitable in early 2024, with a culture of impact and no corporate fluff.
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.
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.
Identify and solve ambiguous problems, transforming data into clear, actionable insights for leadership decisions.
Build data pipelines, reports, best practices, and frameworks for analysts and stakeholders.
Transform complex data into data-driven metrics, intelligent dashboards, and AI-enabled applications.
Averna is a global test and quality solutions provider that partners with product designers and manufacturers to improve product quality and accelerate time to market. They offer expertise in test, vision inspection, precision assembly, and automated solutions across multiple industries, and are committed to diversity and inclusion.
Lead marketing science and analytics workstreams across client engagements, new business, and internal initiatives.
Apply statistical and data science methods including media mix modeling, regression, causal inference, and experimentation.
Use Python and SQL to analyze data and build reproducible analytical workflows, and translate complex analyses into actionable insights.
Crossmedia is a global media independent focused on creating innovative connections between brands and people. With 500+ employees worldwide, it has been a top-ranked media agency on Ad Age's Best Places to Work for seven years.
Define the end-to-end experimentation methodology to guide product decisions across the company.
Build rigorous statistical methods for small-sample, multi-product environments with causal inference.
Partner with cross-functional teams to scale experimentation culture and coach PMs and analysts.
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, it operates as a global, remote-first organization built for speed and ownership.
Build predictive models using statistical and machine learning techniques to identify member behaviors and opportunities.
Design and lead controlled experiments and A/B tests to evaluate strategies and ensure statistical rigor.
Translate complex data into clear insights through visualizations, dashboards, and presentations for cross-functional teams.
BECU is a member-owned credit union with 1.5 million members and over $30 billion in managed assets, rooted in a 'people helping people' philosophy since 1935. With over 90 years of history and a focus on purpose-driven work, they employ a large team and prioritize community, collaboration, and growth.
Use analytical skills to design top-tier financial products and take ownership of product performance metrics.
Manage a team of analysts, develop effective team processes, and build informative reports and dashboards.
Derive actionable insights through data analysis, optimize customer journey mapping and conversion funnels, and evaluate business process efficiency.
Plata Card is a financial technology company developing new technological products for telesales, collection, antifraud, delivery, customer care, and other operations. The team includes graduates from top universities like MSU, MIPT, HSE, MSTU, NES, and MEPhI, fostering an innovative and supportive culture with an emphasis on honest feedback and celebrating achievements.
Use scientific research methods, statistics, machine learning, causal inference, and AI to study business and deploy analytical solutions.
Develop close stakeholder relationships, solve business problems, and educate stakeholders on analytics, AI/ML processes.
Mine data systems, clean and structure data, develop pipelines, and partner with Data Engineering to put models into production.
Gilbane is a Top-10 ENR Contractor, a family-owned construction management firm with 45 offices, shaping communities since 1870. They are committed to delivering projects safely and on-time, and foster a diverse, inclusive workplace.
Serve as the strategic analytics partner to Product, Growth, Engineering, and Design, helping prioritize roadmap investments through quantitative analysis.
Own the measurement framework for product initiatives by defining KPIs and evaluating feature performance.
Build executive-ready dashboards, analyses, and self-service reporting that improve decision making across the organization.
Sagetap is a rapidly growing startup changing how enterprise technology executives discover and evaluate software. They are a tight-knit, fast-moving team backed by investors like NFX Ventures, Uncorrelated Ventures, and Emergent Ventures.
Own the metrics and analytical direction for your product area, influencing strategy and roadmap priorities through data insights.
Work with cross-functional teams to define success metrics, build frameworks, and validate hypotheses through experimentation and A/B testing.
Perform data manipulation, root-cause analysis, and segmentation to understand customer drivers and optimize product features.
Docplanner is a healthcare technology company that empowers patients with access to reviews and booking, and provides doctors with tools to manage appointments. With over 2,500 employees worldwide, they maintain a startup mindset and a diverse, inclusive culture.
Shape high-priority business decisions through rigorous data analysis and actionable insights.
Partner with senior executives to translate complex questions into clear, data-informed recommendations.
Mentor data scientists and raise the technical bar through sound methodology and statistical rigor.
Our partner is a mission-driven technology organization. They emphasize data-driven decision-making and offer a fully remote work environment within Canada.
Establish the data science function from scratch, defining methods, standards, and infrastructure for a new venture.
Own the evidence layer, ensuring all claims, metrics, and insights withstand scrutiny from buyers, leaders, and reviewers.
Run experiments and shape strategy as a peer decision-maker, translating ambiguous business questions into actionable insights.
The Predictive Index is a talent optimization leader that empowers clients to hire top talent, design winning teams, and develop leaders. With over 10,000 clients including major brands, it offers an award-winning workplace culture that values diverse perspectives and collaboration.
Own measurement, attribution, and experimentation to drive data-driven marketing decisions.
Build marketing metrics, reporting, and measurement approaches for campaigns.
Partner with teams on experiment design, causal analysis, and LTV analysis for channel strategy.
Headspace provides every person access to lifelong mental health support through evidence-based content, clinical care, and innovative technology. The company serves millions of members worldwide and fosters a collaborative, inclusive culture grounded in values like making the mission matter and owning the outcome.
Define and validate the metrics that product teams use to measure success
Build metric frameworks connecting product performance to business outcomes like revenue and conversion
Analyze user behavior and product funnels to identify opportunities and guide product strategy
Constructor is a next-generation platform for search and discovery in ecommerce, built to optimize for revenue, conversion, and profit. Founded in 2019 and based in the U.S., the company values empathy, openness, curiosity, and continuous improvement, powering over 1 billion queries daily.
Derive insights and support strategy by leveraging data analytics to optimize product, risk, or growth strategies.
Monitor portfolio health by tracking performance metrics, user behavior, and macroeconomic trends.
Write clean SQL and Python to build scalable reporting and partner with Engineering on machine learning and risk models.
Affirm is a fintech company reinventing credit by offering buy now, pay later solutions with no hidden fees or compounding interest. With a focus on honest and friendly consumer finance, Affirm is a large, remote-first company that values diversity and employee wellbeing.
Partner with Solution Architects, Sales Strategy, and Ecosystem teams to translate pre-sales questions into clear analytical requirements.
Design and build AI and analytic solutions that provide actionable insights for trial management, win rates, adoption, and conversion.
Use segmentation, cohort analysis, and experimentation to inform scaled engagement strategies and advocate for data quality.
GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity and accelerate digital transformation. It is trusted by over 50 million registered users and more than 50% of the Fortune 100, and fosters a high-performance culture driven by values and continuous knowledge exchange.
Design, develop, and continuously improve reporting and dashboard solutions that meet cross-functional business needs.
Translate technical outputs into clear visualizations, summaries, and actionable insights for business stakeholders.
Write advanced SQL to build, validate, and maintain scalable data models with reusable business logic, and troubleshoot data quality issues.
GitLab provides an intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity, improve operational efficiency, and reduce security and compliance risk. With over 50 million registered users and more than 50% of the Fortune 100 trusting the platform, GitLab fosters a high-performance culture driven by values, continuous knowledge exchange, and AI integration.