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 & interpretation of experiments.

You will work closely with our Marketing stakeholders to develop hypotheses, ensure robust test setups & guide on how to implement learnings for maximum impact.

Close collaboration with marketing leadership & our own talented data team will be critical, as you significantly influence our business strategies & performance.

We are looking for an individual with strong communication skills who understands the key drivers of business performance, & loves to learn while tackling challenging problems.

You Will :

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

You Have :

• MSc / Bachelors (preferred in a scientific discipline with a strong focus on experimentation & causal inference)
• Minimum of 5 years of proven experience as a data scientist, with a demonstrated track record of successfully conducting A / B tests & 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 & generalized linear models, double ML;

timeseries; bootstrapping)

• Practical experience with causal inference & experimentation, including experiment design & platform setup.
• Expertise in Python & 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 & outcomes.
• Practical experience in time series analyses, forecasting techniques, cohort & survival analyses.
• Strong organizational skills, a sense of ownership & accountability, & 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 & narratives.

Youll get

• Competitive salary, 401k with company match that vests immediately upon participation, & company equity plan based on role
• Generous PTO, including sabbatical, & parental leave of up to 16 weeks
• Comprehensive health & 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, & Factor )
• Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, & LGBTQ+
• Inclusive, collaborative, & 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 & responsibilities as needed to meet changing business needs, operational requirements, or other factors.

New York Pay Range