Senior Data Scientist

Навыки

• Customer Success
• Анализ данных
• Решения на данных
• Data Lake
• Анализ воронки
• Hadoop
• Machine Learning

О компании и продукте

• Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .
• 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 .

Задачи

• 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
• 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

Требования

• 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
• If you are interested in machine learning infrastructure, please apply to the Software Engineer Backend job opening here

Условия

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

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