Senior Data Scientist, Experimentation

HelloFresh; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a Senior Data Scientist to join their dynamic Experimentation Team. This role involves designing and analyzing experiments to enhance marketing strategies and influence business decisions. You will collaborate closely with marketing stakeholders and lead data-driven projects, utilizing your expertise in A/B testing and causal inference. The ideal candidate will possess strong communication skills and a passion for tackling complex challenges. Join a team that values growth, diversity, and a fun work environment, while making a significant impact on the company's success.

Benefits

Health & Dental Benefits

Generous Vacation & PTO

Parental Leave Top-Up

Career Development Opportunities

Discount on Meal Kits

Access to Headspace App

Discount on Fitness Memberships

Diversity & Inclusion Initiatives

Team Socials

Engaging Company Days

Qualifications

• 5+ years of experience in data science with a focus on experimentation.
• Strong understanding of advanced statistical concepts and methodologies.
• Proven ability to lead data-driven projects and influence business outcomes.

Responsibilities

• Design and analyze experiments to improve marketing strategies.
• Lead the development of causal inference models for marketing campaigns.
• Mentor junior Data Scientists in technical and storytelling skills.

Skills

A/B Testing

Causal Inference

Python

SQL

Statistical Analysis

Data Visualization

Project Management

Communication Skills

Education

MSc in a Scientific Discipline

Bachelor's Degree

Tools

Statistical Software

Data Visualization Tools

Job description

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…

Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance.
Family Benefits - A parental leave top-up program for expectant parents.
Growth & Development - We support your career progression, provide development opportunities, and invest in your continued learning through our organization wide L&D fund.
Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Working Conditions
It’s no surprise that as a food company, we use many ingredients that may be considered common allergens (i.e. peanuts, tree nuts, milk, etc.). Whether this role is based out of our headquarters or one of our distribution centers, it is possible that you may be exposed to such allergens in this role. If you have any concerns with being exposed to any particular food ingredients, including meat, please disclose this during the hiring process.

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.