Databricks28.08.2021

Staff Data Scientist

Зарплата не указана

РЫНОК

16 333 ₽медиана по профессии

Data Scientist · 215 вакансий с указанной зарплатой

5 000половина предложений: 13 167–21 846120 000

Работодатель не указал зарплату — сравните с рынком сами.

San Francisco

Обязанности

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

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)