Data Science, Analytics Engineering
Robinhood • Toronto, ON, Canada
Last updated 3 weeks ago
•
CA$85K—CA$100K
Robinhood
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Job description
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
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.
What you’ll do
- 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.
What you bring
- 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.
Bonus points:
- Data Engineering experience
- Solid understanding 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.
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.