Senior Data Scientist
Databricks · Mountain View, California; San Francisco, California · Engineering - Pipeline · listed May 27, 2026
The shape of it
Seniority
Senior
Where
Not stated
Stated pay
$123,200 – $218,000 USD
Requirements listed
7
Length
1,062 words
In the posting’s own words
As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as a in-house, production "customer" that dogfoods Databricks and drives the future direction of the products.
What it asks for · 7
- Experience in applying Data Science / ML in production to build data-driven products for solving business problems.
- Familiarity with Product Analytics - understanding and tracking customer and user behaviour using lenses like adoption, churn, cohorts and funnel analysis.
- Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Customer Success and Engineering at the moment, but also work with the Sales, Marketing and Finance organizations.
- Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
- Proficient in data analysis and visualization using tools like R and Python.
- Experience with distributed data processing systems like Spark and Hadoop, and proficiency in SQL.
- BS/MS/PhD in Computer Science, or a related field
What the job covers
- Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behavior and funnel analysis.
- Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts.
- Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.
- Mentor and guide data-scientists on the team by helping with project planning, technical decisions, and code and document review.
- Build self-serving internal data products to make data simple within the company.
Degree language
- BS/MS/PhD in Computer Science, or a related field
Tools and skills named
Data
- Databricks5×
- Spark3×
- Hadoop
Go to market
- Customer success2×
- Forecasting
- SaaS
Languages
- Python2×
- Scala
- SQL
Models & research
- Machine learning2×
Security & compliance
- Security2×
Ways of working
- Code review
- Testing
Product & design
- Product management
Words the posting leans on
- data13×
- product10×
- customer7×
- build4×
- software4×
- world4×
- business3×
- engineering3×
- experience3×
- organizations3×
- platform3×
- scale3×
- stakeholders3×
- area2×
- build data-driven2×
- challenges2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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