Head of Data Science

This role is for a Director of Data Science at Demandbase, a B2B marketing and sales company. The Director will lead a team of data scientists and oversee data science initiatives across the company's suite of products. They will also develop strategies to scale the impact of data science and partner with product leadership to guide next best models and solutions. The ideal candidate will have a Master's degree in a related quantitative field, 10+ years of hands-on experience in data science, and 5+ years of people management experience.

• Lead a team of data scientists and oversee data science initiatives across B2B go-to-market products
• Foster innovation and develop strategies to scale the impact of data science throughout products and services
• Partner with product leadership to guide next best models and solutions and increase the impact of data science in all product roadmaps
• Build strong working partnerships with business and technology leaders to plan and execute data science applications in quarterly and annual product roadmaps
• Establish and drive success criteria for data science applications
• Evangelize data science throughout the business by communicating a vision and the business applications of data science
• Recruit and develop talent as a player-coach, developing data science solutions with the team while mentoring, coaching, and empowering success
• Partner with data engineering teams to develop requirements and build data infrastructure necessary to facilitate efficient analytics development.

• Master's degree in Computer Science, Statistics, Machine Learning, Mathematics, or any other related quantitative field.
• 10+ years of hands-on experience in a data science position.
• 5+ years of people management experience leading a data science team.
• Proven track record of solving ambiguous and complex data problems at scale, strong quantitative modeling skills inclusive of machine learning.
• Strong interpersonal and communication skills. Must be able to explain technical concepts to an executive audience, and translate business objectives to a technical audience.
• Highly skilled in statistical and modeling packages; proficient with analytics and database tools.
• Experience with Marketing or Ad Tech data science is desirable.
• Understanding of a product planning process, ability to influence product strategies and roadmaps, strong collaboration skills.
• Expert level knowledge in predictive analytics, machine learning, and data mining. Understands adjacent Big Data engineering technologies and environment.
• Experienced integrating data science applications into software products. Understands ML Ops (deployment/scalable infrastructure). Fluent in challenges like data access, data infrastructure, and maintenance. Has worked with data at scale and velocity.
• A player-coach who can roll up sleeves, solve problems as a team, and facilitate the team’s success. Proven ability to attract, hire, develop, and retain exceptional talent.