At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

Numerator is looking for a Data Science Manager to join our growing Data team. This is a unique opportunity where you will get a chance to work with established and rapidly evolving platforms where data science systems and methods are at the core of our products. In this position, you will be responsible for initiating and implementing initiatives to automate, enhance, maintain, and scale services in a rapidly growing environment.

As a member of our team, you will make an immediate impact as you serve as a player-coach managing Data Scientists, Analysts, and Engineers, along with Product Managers, to build out and expand our technology platforms across several SaaS products. This is a fast-paced role with high growth, visibility, and impact, and where many of the decisions for new projects will be driven by you and your team from inception through production.

This Data Science Manager position is a highly autonomous, product-focused role designed to create value and drive impact across the Product & Data organization, while also influencing the evolution and strategic direction of our company as a whole. The role is cross-functional by nature and is responsible for developing data products and analytics, defining methodologies, conducting research and analysis across various subject areas, and driving bottom-line growth by building operational efficiencies and leading special projects. The ideal candidate is a seasoned, hands-on data scientist with diversified experiences who has held various positions within analytics or engineering functions. Since a key requirement for this role is to understand, author, and deploy production code, the ideal candidate should also be experienced in processing large quantities of data, building algorithms/optimizations alongside software engineers, and have a foundational understanding of applied statistics.

What You'll Do:

Perform as a Data Science Manager by leading execution and technical planning, research, development, and deployment across cross-functional teams
Hire, mentor, and retain Data Scientists with 1:1 attention to their career development, guidance, and growth
Ideate and implement discoveries to build new data product features and improve existing methodologies and algorithms
Integrate within Product, Data, and Engineering teams to identify, investigate, and deliver solutions related to back-end data flows and front-end systems
Assist Product Managers with roadmap definition, scoping, and prioritization
Assist Data Business Operations with release planning, data communication, data-centric whitepapers, engaging end-user communication, and guidance
Lead and deliver complex projects involving heavy data and statistical modeling (e.g., sampling, segmentation, classification, predictive modeling, etc.)
Regularly communicate outcomes, new initiatives, and improvements to stakeholders
Serve as a consultative data science subject matter expert for both internal and external stakeholders

What You'll Bring to Numerator

BS in Mathematics, Statistics, Computer Science, Economics, Physics, or other behavioral and/or equivalent quantitative science
5+ years of industry experience as a data scientist (or equivalent role), with 2+ years operating in a leadership/mentorship capacity
Proficiency in Python (or R) and SQL
Highly autonomous, versatile, intellectually curious, and resilient within a dynamic, growing organization
Outstanding written and verbal data storytelling, demonstrated consulting skills, and ability to tailor communication style and depth to a variety of audiences
Author technical proposals, presentations, reports, and articles, and present research to internal stakeholders and various settings
Experience with defining key product metrics, setting team goals, and building internal tools to monitor progress against KPIs/OKRs/etc
Experience with applied statistics across various types, sizes, and natures of data
Conduct and analyze complex survey/panel data, including exploratory quality analysis, quality handling, imputation, feature engineering, documentation, and bias-correction

Nice to Have's:

Masters/ PhD in Mathematics, Statistics, Computer Science, Economics, Physics, or equivalent quantitative science or experience
Experience with developing, deploying, and maintaining back-end production code, including (but not limited to) applied ML frameworks and applications (e.g, SciKit Learn, TensorFlow, etc.)
Proven track record of delivering solutions to a production environment
Solid understanding of SQL and transactional databases (e.g., MySQL, Postgres, etc.), and experience with building data models and/or improving warehouse architecture
Experience with understanding, analyzing, and modeling user data and behavioral trends
Enthusiasm for identifying and pursuing new business and product opportunities; unleashing creativity, especially in a team environment
Experience working with marketing insights, shopping data, or in the retail industry

What We Offer:

More data than you could imagine to play with!
Data that matters and that is shaping the impact of billion-dollar brands.
Brilliant, motivated, and passionate colleagues with whom to spend your time.
An inclusive and collaborative company culture - we work in an open environment, working together to get things done and adapting to the changing needs as they arise.
Market-competitive total compensation package.
Volunteer time off and charitable donation matching.
Regular hackathons to build your own projects and work with people across the entire company
Strong support for career growth, including mentorship programs, leadership training, access to conferences, and employee resource groups.
Excellent benefits package, including health/vision/dental coverage, exceptional maternity leave benefits, unlimited PTO, a flexible schedule, 401 (k) matching, and more.

If this sounds like something you would like to be part of, we’d love for you to apply! Don't worry if you think that you don't meet all the qualifications here. The tools, technology, and methodologies we use can change, and we value talent and interest over specific experience.