Sr. Data Scientist - Measurement & Modeling Development

About Ovative Group

Ovative Group is an independent, full-funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself. At Ovative, we don't just track data, we redefine success.

About The Role

As the Senior Data Scientist, you will play a key role in:

• Developing advanced marketing measurement and modeling capabilities (e.g., MMM, Forecasting) that unlock our company vision to transform the measure of marketing success.
• Partnering with driven, solution-minded experts, business leaders, analysts, and scientists at Ovative in engaging with clients, and defining approaches and road maps for solutions to client problems.
• Technical mentoring of junior data scientists across modeling approaches, experimental design, and code quality — building depth in the quantitative methods that power our measurement and modeling products.
• Working with technology leaders, product owners, and engineers to convert novel solutions developed into scalable new services and product offerings at Ovative.
• Partnering with a larger Measurement & Modeling Development DS team to inform product roadmap priorities and emerging industry DS methodologies.
• Being a part of an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization.

Responsibilities of a Sr. Data Scientist - Measurement & Modeling Development

Lead technical data science contributor in a high-performance multi-disciplinary team comprising data science, data engineering, and full stack members, responsible for your team’s productivity, operational excellence, and business impact.

Drive technical advancement across measurement and modeling products — co-owning model architecture, methodology, and feature development across aspects of work from POC through production-ready deployment.

Partner closely with Engineering and Product Management to scale your team’s innovative measurement and modeling solutions into product and service offerings.

Contribute to product development cycles within an agile environment, including sprint planning, backlog refinement, and translating research outputs into scalable, maintainable product features.

Provide mentoring, training, and other opportunities for effective technical development of data scientists.

Assist with technical parts of business development as needed, including RFP response, sales, and conference presentations using AI assistance where applicable.

Build strong relationships across the organization to understand internal stakeholder needs for trusted data science support.

Requirements

• 3+ years of hands-on experience in data science or a related quantitative field, with a strong track record of delivering business value through technical innovation.
• Experience contributing to product-centric data science teams, including working within agile development cycles and translating research outputs into scalable, maintainable product features.
• Expertise in machine learning, advanced statistical modeling, and optimization algorithms, with hands-on experience in the areas listed below.
• Strong business acumen, especially within digital and traditional marketing domains; ability to translate data insights into clear strategic recommendations.
• Excellent communicator: able to lead conversations with technical and non-technical stakeholders, including senior client partners and internal executives.
• Demonstrated leadership and mentorship skills; able to think independently, guide junior team members, and influence cross-functional teams.

Preferred Technical Qualifications

• Hands-on experience with optimization solvers (e.g., Gurobi, Pyomo) and the underlying algorithm classes that power them, including gradient-based, convex, and greedy method.
• Applied experience integrating AI-assisted development practices into DS workflows, including code generation, methodology exploration, and documentation.
• Familiarity with cloud infrastructure and deployment practices (e.g., AWS/GCP/Azure), MLOps pipelines, and containerization.

Programming And Data Environments

• Languages: Python and R
• Tools: Git, Docker, Poetry, Azure
• Data platforms: BigQuery, Databricks

Pay

The salary range for this position below is inclusive of an annual bonus. Actual offers are made with consideration for relevant experience and anticipated impact.

Benefits

• Culture: Culture matters and we’ve been recognized as a Top Workplace for ten years running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We’re open in communication and floor plan. We’re flat – our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily.
• Compensation and Insurance: We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix. We’re rewarded fairly and when the company performs well, we all benefit.
• Tangible amenities we enjoy: Access to all office spaces in MSP, NYC, and CHI Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teamsGenerous paid vacation policy 401k match program Top-notch health insurance options, inclusive of same sex partners Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs Monthly stipend for your mobile phone and data plan Sabbatical program Charitable giving via our time and a financial match program