Data Scientist - Analytics

Robinhood; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

Join a dynamic and innovative company where data drives decisions! As a Data Scientist in Analytics, you'll collaborate with various teams to transform complex data into actionable insights. Your expertise in SQL, Python or R, and data visualization will be crucial in creating interactive dashboards that empower quick decision-making across finance, accounting, and compliance. This is an exciting opportunity to work in a fast-growing environment, where your contributions will not only enhance business analytics but also foster a culture of data-driven decision-making. If you're passionate about solving complex problems and mentoring others, this role is perfect for you!

Qualifications

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

Responsibilities

• Translate business needs into actionable data visualizations and insights.
• Build and maintain scalable dashboards for Business Analytics.

Skills

Data Analytics

Data Science

SQL

Python

R Programming

Data Visualization

Statistical Analysis

Data Storytelling

Education

BA/BS/MS/PhD in quantitative field

Tools

SQL

Superset

Looker

Databricks

Spark

Airflow

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 finance, accounting, legal, and compliance to analyze data from various systems and sources. The goal is to provide actionable insights and recommendations—delivered through interactive dashboards—across the breadth of our partners’ needs.

What you’ll do

• Translate business and leadership needs into actionable solutions by creating meaningful data visualizations, key insights, and metrics.
• Use SQL and build data pipelines to integrate data from several internal sources, modeling structures that provide a comprehensive view of internal business analytics.
• Apply quantitative techniques, including modeling, to address ambiguous problems from different perspectives.
• Enable quick decision-making by answering business questions using our extensive datasets.
• Build and maintain scalable dashboards for Business Analytics, using data from Accounting, Finance, and other sources.

What you bring

• 4+ years of demonstrated experience in data analytics or data science, serving as the analytics expert within Business Analytics.
• BA/BS/MS/PhD in a quantitative field such as mathematics, economics, statistics, engineering, computer science, etc.
• Strong passion to apply modeling and engineering skills to solve complex business problems.
• Excellent SQL and programming skills, including expert level familiarity with either Python (numpy, scipy, pandas) or R programming languages.
• Excellent data visualization skills and data storytelling skills.
• Solid understanding of statistical analysis.
• Experience communicating data driven insights.
• The ability to use data to inform, persuade, and lead.

Bonus points:

• Working knowledge of Superset or Looker, Pinot and Presto.
• Passion for working and learning in a fast-growing company.
• Intense sense of curiosity.
• Satisfaction from mentoring and encouraging others in your field.

Technologies we use:

• SQL
• Superset or Looker
• Python or R
• Databricks, Spark, Airflow