Sr. Manager, Data Science (Engineering)

RDQ126R97

Job Description

Databricks is looking for a Senior Manager, Product Data Science to grow the product data science team and lead the development of Data and AI products. You will lead a team of data scientists and work directly in partnership with product managers and engineering leaders to empower them with data-driven insights and solutions. You, along with your team, will dig into the data to uncover new insights, identify opportunities and actions for product improvements and new product development, determine product metrics with goals, design experiments, and promote customer experience, engagement, and growth of Databricks' products. As the leader for Data Science, you will establish the roadmap for your team and implement projects in data science, artificial intelligence, machine learning, and product insights. You will also partner with our engineering teams to create requirements of the Databricks product to allow data scientists to easily explore and analyze new data sets for insights and to build data products.

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. 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 missions.

Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 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.

The impact you will have:

• Lead data scientists to provide product insights and develop important data and AI products and capabilities
• Develop data science solutions to identify opportunities for product improvements, new product features, improve and forecast growth, and improve product use and customer experience
• Partner with product managers and cross-functional stakeholders to understand the business need and priorities to build a roadmap of strategic capabilities and ensure delivery and adoptions
• Design metrics and KPI definitions with goals for different product areas, report and communicate insights around product success to partners and the senior management team
• Create and expand impact measurement methodologies across all of Databricks products, AI and business initiatives
• Function as a thought partner with senior management and stakeholders, and provide leadership in developing the long-term vision and requirements for the Databricks product

What we look for:

• 10+ years of product data science, machine learning, advanced analytics experience in high velocity, high-growth companies
• 5+ years of management experience hiring and developing teams
• Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment
• Knowledge of statistics and rigorous analytical techniques
• Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies
• Leadership skills and experience to lead across functional and organizational lines
• Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team
• Bias to action and passion for delivering high-quality data solutions
• A passion for problem-solving and comfort with ambiguity
• MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)