Staff Data Scientist - Infrastructure

Навыки

• Решения на данных
• Data Lake
• Machine Learning
• Python
• Spark
• SQL
• Статистика

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
• At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.
• Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.
• Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.

Задачи

• “ 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

Требования

• 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)

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

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