Data Scientist

5 days ago

Toronto, Canada Robinhood Full time

**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.
- 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

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

Click here to learn more about available Benefits, which vary by region and Robinhood entity.

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