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Title: Senior Data Scientist, Analytics Engineer
Company: Robinhood
Salary: $161,500 – $190,000 per year
Location: Menlo Park, California, USA
Type: Full-time
Experience: 5+ years in Analytics Engineering, Data Engineering, or Data Science
Company Overview:
Robinhood is a pioneering fintech company committed to making financial markets accessible to all. By prioritizing customer needs, Robinhood is actively lowering barriers to financial information and offering products that foster wider participation in the financial system. As a driven and forward-thinking team, Robinhood is focused on sustaining growth and evolving its innovative solutions.
Responsibilities:
Partner closely with product, engineering, and data science teams, lead end-to-end development of ETL data pipelines, create analytical tools and dashboards, collaborate with data scientists to deliver actionable insights, and build frameworks that enhance data efficiency and quality.
Required Skills:
Advanced SQL, Python programming, Apache Spark (PySpark, Spark SQL), ETL pipeline development, proficiency in data visualization tools (like Tableau, Looker, Superset), version control (GitHub), CI/CD, and a strong product mindset.
Benefits:
Market-competitive compensation, 100% paid health insurance for employees (90% for dependents), annual lifestyle wallet, fertility benefits, mental health support, ample paid time off, parental leave, catered meals, and a vibrant office environment.
How to Apply:
Click on the “Apply Now” button below. You will be redirected to the Robinhood application page. Fill out all the required details as prompted. Submit your application to be considered for the position.
Frequently Asked Questions (FAQs):
What is the job title?
The position is for a Senior Data Scientist, Analytics Engineer.
Who is hiring?
The hiring company is Robinhood, a leader in the fintech industry.
Where is the job located?
This role is based in Menlo Park, CA, offering a robust work environment focused on collaboration.
Is it a full-time or part-time role?
This is a Full-time position, tailored for individuals looking to make a long-term impact.
What experience is required?
Candidates need a minimum of 5 years of experience in Analytics Engineering, Data Engineering, or Data Science, making this an excellent opportunity for seasoned professionals in the field.
Feel free to adjust any sections as needed!
