Director, Data Science

Key Skills

Python Programming, SQL, Data Visualization, R Programming, Data pipelines

Job Description

We are hiring a Director of Data Science to lead a global, cross-functional Data Science team focused on the evolution of the Slack product! As a leader on the Data Science team, you will deliver data and insights that drive decision-making, execution and investments for our product initiatives in a dedicated area of the business. This is a one of a kind opportunity that includes team buildup, foundation setup, and collaboration model establishment. Success requires analytical savvy, problem-solving sophistication, a willingness to roll up your sleeves and a dedication to make the highest impact possible. We are looking for someone that can think on their feet and thrives in a dynamic environment. Enterprise product experience, with an understand of the end-user will be key to this role.

Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?

What you'll be doing:

• Build and lead a high performing DS team, drive professional development goals of the team
• Set a compelling vision and prioritize work based on product strategies and overall goals
• Establish strong partnership with executive level stakeholders in identifying opportunities, prioritize roadmaps, define and implement execution excellence, and coach and mentor team members
• Work cross functionally with the rest of PDE org to influence product strategies and roadmaps, help build and influence a data informed decision making culture
• Synthesize learnings and insights. Communicate a data narrative around product usage, tying this into the overall Slack strategy
• Work with the team to define and manage the end-to-end process: scope projects, build pipelines and datasets, synthesize results, and communicate an informed recommendation. Jump in when needed! 
• Partner closely with product researchers, and when appropriate, align roadmaps and collaborate on projects to answer complex questions
• Build partnership and alignment with our data cross-functional partners, including Data Engineering and Business Intelligence, to author and develop core data sets and empower operational and exploratory analysis

What you should have:

• 7+ years of experience in product data science in related tech industries
• 2+ years experience in a product DS managerial role
• Ability to build clear and concise presentations, and communicate effectively at every level of the organization
• Strong project management skills
• BS degree in a quantitative field (e.g. Computer Science, Economics, Physics); An advanced degree (MS, PhD) preferred
• A proven record of using data to drive product teams to release new features and achieve ambitious goals

Skill-Set/Technologies used daily:

• Python/R, SQL, data visualization tools, data pipeline tools, descriptive machine learning, experimentation and measurement

For Colorado-based roles: Minimum annual salary of $166,600. You may also be offered a bonus, restricted stock units, and benefits.