Data Scientist - Analytics

Robinhood; Old Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

An innovative company is seeking a Data Scientist - Analytics to empower decision-making through data insights. In this role, you will collaborate with various teams to analyze data across the employee lifecycle, from recruitment to retention. You'll leverage your expertise in SQL, Python, or R to create impactful data visualizations and metrics, driving actionable recommendations. This position offers the chance to work in a dynamic environment where your analytical skills will directly influence organizational success. If you are passionate about using data to inform and lead, this opportunity is perfect for you.

Qualifications

• 4+ years experience in data analytics or data science.
• Strong programming skills in Python or R, and expert SQL skills.

Responsibilities

• Translate business needs into actionable data solutions.
• Build and maintain scalable business intelligence tools.

Skills

Data Analytics

SQL

Python

R Programming

Statistical Analysis

Data Visualization

Communication Skills

Education

BA/BS/MS/PhD in Behavioral Science

Quantitative Field Background

Tools

Greenhouse

Workday

One Model

Job description

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.

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.