Data Science, Robinhood

• 3+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field
• Strong expertise in advanced SQL, Python scripting, and Apache Spark (PySpark, Spark SQL) for data processing and transformation
• Proficiency in building, maintaining, and optimizing ETL pipelines, using modern tools like Airflow or similar
• Experience in building polished and performant dashboards using tools like Superset, Looker, Tableau
• Strong familiarity with version control (GitHub), CI/CD, and modern development workflows
• A strong product approach
• Ability to work in a fast-paced, and highly cross-functional environment

Desirable

• Robinhood is a metrics driven company, and the Data Science Org is at the center of all the metrics initiatives, setting foundations to all key decisions from growth strategy to product optimization to our day-to-day operations.
• We are looking for a Senior Data Scientist for Analytics Engineering to drive end-to-end development of high-performing ETL data pipelines, tools, and dashboards to scale insight generation to meet critical business, product, finance, and regulatory requirements.
• We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come
• The role is located in the office location(s) 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
• Partner closely with product, engineering, and data science to scope out data, metrics & analytics initiatives
• Lead end-to-end development of high-performing ETL data pipelines, tools, and dashboard to scale insight generation to meet critical business, product, and regulatory requirements
• Partner with other data scientists to convert raw data into highly actionable insights, supporting analytics deep dives to convert those insights into tangible actions
• Develop frameworks, tools, and workflows that improve efficiency for data consumers, while upholding high standards of data quality and performance

• Well-being - Premium medical, dental, and vision insurance
• Family & home life - Parental leave, personal prosperity benefits
• Comfort & care - Annual lifestyle stipend
• Office life - Catered meals and fully stocked kitchen, commuter benefits
• Growth - Education and training, community events, career mentorships

Total funding: $5.6bn

For years, traditional brokers ruled the share trading realm, charging hefty fees that locked out everyday investors. Robinhood emerged as a disruptor, offering commission-free trading and opening the door to a new generation. Its innovative model thrives on premium features like increased buying power and extended trading hours, attracting a younger audience drawn to meme stocks like AMC and GameStop.