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 such as Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and United Health Group transform their media and measurement programs. The result is profitable growth that speaks for itself. Our proprietary Mar Tech platform, EMRge, helps businesses transform marketing into a driver of sustainable growth and measures their performance holistically.

As the Senior Data Scientist, you will play a key role in developing advanced marketing measurement and modeling capabilities, partnering with experts and clients, mentoring junior data scientists, collaborating with engineering and product teams, informing product roadmaps, and contributing to an inclusive culture.

• 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.
• Working with technology leaders, product owners, and engineers to convert novel solutions 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.
• Lead technical data science contributor in a high‑performance multi‑disciplinary team comprising data science, data engineering, and full stack members, responsible for the team’s productivity, operational excellence, and business impact.
• Drive technical advancement across measurement and modeling products, co‑owning model architecture, methodology, and feature development from proof‑of‑concept through production‑ready deployment.
• Partner closely with Engineering and Product Management to scale 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.

• 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.
• Hands‑on experience in Python and R, with industry best practices in writing scalable and maintainable code.
• Bayesian / Media Mix Modeling (MMM) experience.
• Experience with time‑series modeling and/or forecasting methods.
• Expertise with linear algebra and advanced statistical modeling.

• Hands‑on experience with optimization solvers (e.g., Gurobi, Pyomo) and underlying algorithm classes.
• Experience with attribution modeling.
• Applied experience integrating AI‑assisted development practices into DS workflows.
• Familiarity with cloud infrastructure and deployment practices (e.g., AWS/GCP/Azure), MLOps pipelines, and containerization.
• Strong business acumen, especially within digital and traditional…