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Numerator: Product Manager, Panel Data Science

Numerator

This is a Full-time position in Ottawa, ON posted July 26, 2020.

We are looking for an exceptional Product Manager to support our Panel Data Science team.

The Panel Data Science team at Numerator is building innovative products to help improve operational efficiency and ensure our panel is representative.As our Product Manager, you will play a critical role in personalizing our product experience and building data-driven solutions to optimize our business success.

This role will give you the opportunity to work with stakeholders, data scientists, and engineers to build high-quality data products for strategic initiatives and opportunities.This is a new role, as our Product Manager, you will work directly with the Panel Data Science team to craft our growing landscape of data and machine learning technologies into delightful product experiences.What you get to do!

Own and champion product plans, objectives, and progress against plans and KPIs to all stakeholders (Data Science team, Engineering, and business leaders).Work with the partnership team to vet and integrate external data sources that could improve our products.Lead internal and client discovery calls to inform roadmap, business requirements, and vet early outputs.Assist the data science team through the model development by clarifying business priorities for projects and identifying and scoping data pipelines as needed.

Prioritize features and resources to ensure critical data science resources are working on the highest impact solutions.

Manage stakeholder communication and internal alignment.Become the subject matter expert in how our panel data science product works and interact with other products at Numerator.

What we are looking for 2+ years product management or product development experience preferably in a data & analytics role.Work experience in market intelligence and working closely with a data science team or analytics team to build out data products.Familiarity with Data Science fundamentals and statistics.Ability to work with internal stakeholders to collect feedback, prioritize tasks, and manage the engineering backlog.Strong analytical skills and ability to evangelize the use of data for sound decision making across functions.Strong oral and written communication skills, and ability to collaborate with, and influence cross-functional partners.Self-motivated, self-directed, and the ability to thrive in a fast-paced environment in an industry that constantly changes.Organized with a knack for managing complex projects.

Creative and resourceful when it comes to problem-solving.A passionate can-do attitude.

You are not afraid to try, learn, and improve.

Extra, Nice to haves Familiarity with SQL and big data technologies.

Experience working as an engineer in big data, machine learning, or data science.

Experience working and leading a geographically dispersed team is a plus.

Previous experience working with purchase panel data and/or survey responses.What We Offer An inclusive and collaborative company culture we work in an open environment while working together to get things done and adapt to the changing needs as they come.An opportunity to have an impact in a technologically data-driven company.Ownership over data and environments in an industry-leading product.Market competitive total compensation package.Volunteer time off and charitable donation matching.Strong support for career growth, including mentorship programs, leadership training, access to conferences, and employee resources groups.Regular hackathons to build your own projects and Engineering Lunch and Learns.Great benefits package including health/vision/dental, unlimited PTO, flexible schedule, 401K matching, travel reimbursement, 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 are constantly changing and we value talent and interest over specific experience.We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.