Toronto, ON
12 days ago
Data Scientist - Analytics
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. Our company trajectory is shaped by the systems, tools, and analytics driven by our exceptional data science teams.

This Data Scientist - Analytics role will collaborate with partners in workforce planning, employee relations, talent acquisition, people leadership, and compliance to analyze data from various systems and sources. The goal is to provide actionable recommendations across the entire employee lifecycle, from recruitment to employee experience and retention.

The role is located in the office location listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

What you’ll do Translate business and leadership needs into actionable solutions by creating meaningful data visualizations, key insights, and metrics. Use SQL to integrate data from various sources, building structures that provide a comprehensive view of employee journeys. Apply quantitative techniques, including modeling, to address complex problems from diverse perspectives. Enable quick decision-making by answering business questions using our extensive datasets. Build and maintain scalable business intelligence tools and dashboards for People Analytics, covering the employee lifecycle with data from Greenhouse, Workday, and other sources. Collaborate with Data Engineering and vendors to automate, improve, and scale these solutions. What you bring 4+ years of demonstrated experience in data analytics or data science, serving as the analytics expert within People Analytics or similar domains. BA/BS/MS/PhD in behavioral science (economics, psychology etc) with strong statistical chops or a background in a quantitative field such as mathematics, statistics, engineering, or natural sciences (or equivalent experience) with a strong curiosity about human behavior. Excellent programming skills, including expert level familiarity with either Python (numpy, scipy, pandas) or R programming languages Expert level SQL skills Solid understanding of statistical analysis Experience communicating data driven insights The ability to use data to inform, persuade, and lead Bonus points: People Analytics experience (working with organizational people data such as recruiting, headcount, attrition, and sentiment to solve business needs) Working knowledge of Greenhouse, Workday, and One Model Passion for working and learning in a fast-growing company Intense sense of curiosity Satisfaction from mentoring and encouraging others in your field

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.


We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.

Please see the independent bias audit report covering our use of Covey here.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan.

Toronto, ON$85,000—$100,000 CAD

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.

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