Staff Data Scientist - Infrastructure
Databricks · Mountain View, California · Engineering - Pipeline · listed December 19, 2023
The shape of it
Seniority
Staff
Where
Not stated
Stated pay
$192,000 – $260,000 USD
Requirements listed
8
Length
915 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 work on top priorities for the company. The Data team also functions as an in-house, production "customer" that dog foods Databricks and drives the future direction of the products.
What it asks for · 8
- 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
- Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems.
- Experience collaborating with and understanding the needs of Senior level stakeholders from a variety of functions including: Engineering, Product, and Technical Operations.
- Ability to deal with ambiguity in fast paced environments by clarifying requirements and having a keen sense of 0 to 1 solutions.
- Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling.
- Strong coding skills in Python and SQL
- Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment.
- M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)
What the job covers
- “ Analysis at the speed of thought ”: Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists.
- “ Extend capabilities of Databricks ”: Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product
- “ Strategic business insights ”: Lead insight generation for top company priorities, and key Engineering initiatives (reliability, and efficiency).
- Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences.
- Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.
- Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven.
- Represent Databricks at academic and industrial conferences & events.
Degree language
- M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)
Tools and skills named
Data
- Databricks7×
- Spark3×
- Statistics
Languages
- Python
- SQL
Models & research
- Machine learning2×
Ways of working
- Code review
- Testing
Go to market
- SaaS
Security & compliance
- Security
Words the posting leans on
- data17×
- engineering6×
- product6×
- data science5×
- build4×
- customers4×
- experience4×
- platform4×
- technical4×
- world4×
- business3×
- operating3×
- organization3×
- scale3×
- software3×
- build data-driven2×
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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