Numerator

Company Information

We’re reinventing the market research industry. Let’s reinvent it together.

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.

Job Description

The salary range for this role is $129,000 - $177,100/year + Bonus

Numerator is a data and technology company disrupting the research and consumer insights industry. Headquartered in Chicago, IL, Numerator has over 2,000 employees worldwide. The company blends proprietary data with advanced technology to create unique insights for the market research industry that has been slow to change. The majority of Fortune 100 companies are Numerator clients. What are you waiting for, join us on this amazing journey!

Numerator is looking for a Sr. Data Scientist to join our growing Research and Development team. This is a unique opportunity where you will get a chance to work with an established and rapidly evolving platforms that handles millions of requests and massive amounts of events, and other data. In this position, you will be responsible for taking on new initiatives to automate, enhance, maintain, and scale services in a rapidly-scaling environment.

As a member of our team, you will make an immediate impact as you help build out and expand our technology platforms across several software products. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you and your team from inception through production.

The Details:

This Sr. Data Scientist position is a highly-autonomous, product-focused role designed to create value and drive impact across the Product 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 on a variety of subject areas, and driving bottom-line growth through building operational efficiencies and leading special projects for our clients. The ideal candidate is a seasoned data scientist with diversified experiences, who's held various positions within analytics or engineering functions. Since a major requirement for this role is to understand, author, and deploy production code, the ideal candidate should also be experienced with processing large quantities of data, building algorithms alongside software engineers, and foundationally rooted in applied statistics.

What You'll Do:

• Perform as a Sr. Data Scientist by leading execution and technical planning within the organization and team, and mentoring other Data Scientists
• Ideate and implement discoveries to build new product features and data products and improve existing methodologies and algorithms
• Integrate within Product, Data, and Engineering teams to identify, investigate and deliver solutions related to product and back-end data issues
• 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, etc. to stakeholders
• Serve as a data science subject matter expert for both internal and external clients

Skills & Requirements

• 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)
• Proficiency in Python and SQL
• Highly autonomous, versatile, intellectually curious and resilient within a dynamic and fast-paced organization
• Outstanding written and verbal data storytelling, demonstrated consulting skill 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 KPI's
• Experience with applied statistics across various data types and sizes
• Conduct and analyze complex survey/panel data including developing data files, conducting quality reviews, data editing, documentation, weighting, and imputation

Nice To Haves:

• Masters/ PhD in Mathematics, Statistics, Computer Science, Economics, Physics or equivalent quantitative science
• 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:

• 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 can change and we value talent and interest over specific experience.

While this position can be remote, Numerator is only able to hire in many, but not all, states and provinces. In certain cases, if you are not located in a specific area where Numerator is able to hire, you may not be eligible for employment.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by the law.

#LI-BW1

There is strength in numbers - We are the Numerati

Numerator is 5,800 employees strong. We have the confidence to be real and embrace what makes each Numerati unique. Our diverse experiences, ideas and backgrounds fuel our innovation.

Being part of the Numerati means that we’ll take care of you! From our Recharge Days, maximum flexibility policy, wellness resources for employees and their families, development opportunities and much more — we’re always finding ways to better support, celebrate and accelerate our team.

What You Can Expect from Your Intern Experience

You’ll play an active role as a member of a dynamic team of supportive and highly motivated employees and leaders. From day one, you’ll be set up for success with your NuIntern buddy, who will be a key partner throughout your internship. Numerator’s onboarding program will introduce you to your new colleagues, immerse you into our culture, and provide you with resources to thrive.

Expect to make an impact on real projects, business challenges, clients, and our global teams. Interact and engage with colleagues in person at our cool headquarters, designed to further inspire innovation, creativity, and collaboration. You'll also have the opportunity to participate in local events, Hack Days, networking, and workshops.

Internship dates: June 9th to August 8th, 2025