Senior Data Scientist, Analytics - Marketing
Toronto, ON
- Remote-first
- @RobinhoodApp
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Robinhood
Trade 30+ crypto at the lowest cost on average in the EU. Sign up today and get a reward of up to 1 BTC.Join a leading fintech company that’s democratizing finance for all.
Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.
With growth as the top priority...
The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.
About the team + role
Insights from data power most decisions at Robinhood. In a Data Scientist-Analytics role focused on Performance Marketing at Robinhood, you will work with partners in marketing, product, engineering, finance, design, and compliance to understand and analyze data from all parts of our business to drive our Performance Marketing strategy.
What you’ll do
- Develop and share insights around our active customers, focusing on acquisition and retargeting strategies.
- Analyze and test performance marketing strategies, improving our campaign efficiency, and enhancing our measurement capabilities across various channels.
- Design and implement experiments (A/B tests, incrementality tests, and geo-lift tests) to systematically test and measure the impact of various performance marketing initiatives, ensuring statistical significance and actionable outcomes.
- Work with partners to identify the metrics their product should track and develop and share analysis, guidance, reports, and dashboards to optimally track and move these metrics.
- Utilize advanced analytics, machine learning, and predictive modeling to drive performance marketing strategies and improve ROI.
- Develop and refine attribution models to accurately measure the incremental impact of different marketing channels and touchpoints.
- Power quick decisions by answering business questions by querying our vast datasets.
What you bring
- Strong analytical and statistical skills with experience in performance marketing.
- Bachelor's Degree in a quantitative field such as mathematics, statistics, engineering.
- 2+ years of experience in data analysis with a focus on marketing analytics.
- Deep understanding of key performance indicators (KPIs) in marketing such as click-through rate (CTR), conversion rate (CVR), return on ad spend (ROAS), customer acquisition cost (CAC), and lifetime value (LTV).
- Expertise in attribution models to determine the effectiveness of different marketing channels and touchpoints.
- Experience with marketing analytics tools and platforms (e.g., Google Analytics, Facebook Ads, Twitter Ads).
- Strong skills in designing and analyzing A/B tests and multivariate tests to optimize marketing strategies.
- Experience with other incrementality tests such as geo-lift experiments, holdout tests, and synthetic control methods.
- Familiarity with data pipeline creation and maintenance.
- Skills in working with ETL tools and ensuring data quality and consistency.
- Excellent programming skills, including proficiency in either Python (numpy, scipy, pandas) or R programming languages.
- Expert-level SQL skills.
- Strong understanding of statistical analysis.
- Experience communicating data-driven insights.
- The ability to use data to advise, persuade, and lead.
Our team is here to enable an inclusive and welcoming interview experience for all candidates. If you need additional assistance throughout the interview process related to a physical or mental condition, or if there is something our team can do to enable a more accessible experience at any time, please notify our team by completing this Applicant Accommodation Form.
Click here to learn more about available Benefits, which vary by region and Robinhood entity.
We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.
Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Data analysis Data quality Engineering ETL Finance FinTech KPIs Machine Learning Mathematics NumPy Pandas Predictive modeling Privacy Python R SciPy SQL Statistics
Perks/benefits: Career development
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