Databricks08/28/2021
Staff Data Scientist
Salary not specified
MARKET
15,900 ₽median for this role
Data Scientist · 115 jobs with disclosed pay
5,000half of the offers: 12,796–20,50043,793
The employer didn't disclose pay — compare with the market yourself.
San Francisco
Responsibilities
- 01Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights
- 02Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations and forecasts
- 03Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience
- 04Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review
- 05Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven
- 06Build self-serving internal data products to make data simple within the company
- 07Represent Databricks at academic and industrial conferences & events
Requirements
- 017+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
- 02Extensive experience in applying Data Science / ML for the end-to-end development and deployment of data-driven products for solving business problems
- 03Familiarity with product data science - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, segmentation and funnel analysis
- 04Experience collaborating with and understanding the needs of stakeholders from a variety of business functions
- 05Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment
- 06Proficient in data analysis and visualization using tools like R and Python
- 07Experience with distributed data processing systems like Spark, and proficiency in SQL
- 08MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)
What we offer
- 01Pay Range: $192,000 — $260,000 USD
- 02Eligibility for annual performance bonus
- 03Equity compensation
- 04Comprehensive benefits and perks (details vary by region)