Senior Data Scientist, Experimentation

Location: New York/Toronto

We are seeking an accomplished Senior Data Scientist to join our Experimentation Team. As part of the wider Data Science team within Marketing, you will play a pivotal role in shaping our investment strategy through the sophisticated design, analysis and interpretation of experiments. You will work closely with our Marketing stakeholders to develop hypotheses, ensure robust test setups and guide on how to implement learnings for maximum impact. Close collaboration with marketing leadership and our own talented data team will be critical, as you significantly influence our business strategies and performance. We are looking for an individual with strong communication skills who understands the key drivers of business performance, and loves to learn while tackling challenging problems.

You Will:

• Design, oversee setup, and analyze experiments to quantify the impact of marketing investments and to enhance our understanding of products.
• Use your expertise in AB testing, marketing channel lift studies, and causal inference to suggest innovative approaches to experimentation and contribute to strategic decision-making processes.
• Own the complete test design process, from sample size estimation through deployment, analysis and reporting while working hand in hand with channel managers/product owners and business strategy leaders.
• Lead the development, deployment, and adoption of causal inference models to measure marketing campaigns, optimizing investments across short and long-term business objectives.
• Take ownership of end-to-end projects, operating where there's a high degree of ambiguity, and delivering results within ambitious timelines.
• Translate insights into relevant business recommendations, anticipating the needs of business stakeholders.
• Act as a mentor, guiding and coaching junior Data Scientists in technical and storytelling aspects.

You Have:

• MSc / Bachelors (preferred in a scientific discipline with a strong focus on experimentation and causal inference)
• Minimum of 5 years of proven experience as a data scientist, with a demonstrated track record of successfully conducting A/B tests and experiments within a dynamic tech company, preferably in an e-commerce or direct-to-consumer business setting
• Solid grasp of advanced statistical concepts (e.g., Bayesian statistics; sequential testing; multilevel and generalized linear models, double ML; timeseries; bootstrapping)
• Practical experience with causal inference and experimentation, including experiment design and platform setup.
• Expertise in Python and SQL, with direct experience working with very large datasets. Production-level modeling experience is preferred.
• Proven experience leading data-driven projects from definition to execution, influencing business decisions and outcomes.
• Practical experience in time series analyses, forecasting techniques, cohort and survival analyses.
• Strong organizational skills, a sense of ownership and accountability, and the ability to lead projects independently.
• Excellent communication skills with the ability to tailor messages to different audiences, from technical teams to executives.

Proficiency in building compelling stories through data visualization and narratives.

You’ll get… 

• Competitive salary, 401k with company match that vests immediately upon participation, and company equity plan based on role
• Generous PTO, including sabbatical, and parental leave of up to 16 weeks
• Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
• Tuition reimbursement for continuing education
• Up to 75% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)   
• Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, and LGBTQ+
• Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.