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Sr. Data Scientist - Marketing Science & s

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Ovative Group
Full Time position
Listed on 2026-07-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 132000 USD Yearly USD 90000.00 132000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Data Scientist - Marketing Science & Offerings

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 United Health 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. How do we do it? Our proprietary Mar Tech platform, EMRge, helps businesses transform marketing into a driver of sustainable growth. Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying, planning, and measurement makes EMRge the first Mar Tech platform to measure businesses holistically. We’re all about raising the bar every day, and it shows.

Our work has been recognized by organizations like Digiday, Google, Inc. 5000, USA Today, and Search Engine Land.

About the Role

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

  • Developing advanced marketing measurement capabilities that unlock our company vision to transform the measure of marketing success. You will be at the forefront of developing and delivering differentiated AI‑assisted marketing data science and measurement solutions focused on maximizing profitable enterprise revenue and customer value for our clients.
  • 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, guiding their algorithmic, testing methodological approaches, and reviewing their code.
  • Working with technology leaders, product owners and engineers to convert novel solutions developed to scalable new services and product offerings at Ovative.
  • Being a part of an inclusive culture that inspires and motivates the team and attracts new, diverse technical talent to the organization.
Responsibilities
  • Lead technical contributor in a high‑performance data science & advanced analytics team, responsible for your team’s productivity, operational excellence, and business impact.
  • Drive value across multiple business verticals by leading the technical development and deployment of impactful and interpretable models.
  • Partner closely with Engineering and Product Management to scale your team’s innovative measurement solutions into product and service offerings.
  • 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
  • 5+ years of hands‑on experience in data science, analytics, or a related quantitative field, with a strong track record of delivering business value through technical innovation.
  • Proven success as a technical contributor in high‑performing data science teams
    , preferably within product‑centric or consulting environments
    .
  • Very Important
    :
    Ability to quickly learn and execute.
  • Expertise in advanced statistical modeling and machine learning
    , with hands‑on experience preferred in techniques such as:
  • Media Mix Modeling (MMM)
  • Incrementality Testing / Causal Inference
  • Attribution Modeling
  • Customer Analytics:
    Lifetime Value (CLV) Modeling, Segmentation
  • Generative AI Data Science
  • Proficiency in the following preferred programming and data environments:
  • Languages
    : SQL, and/or R or Python
  • Tools
    :
    Git, Docker, MLOps, POSITIDEs, cloud notebooks, Frameworks like Shiny, Streamlit, etc.
  • Data Platforms
    :
    Big Query, Databricks
  • Familiarity with cloud infrastructure and deployment practices (e.g., AWS/GCP/Azure), MLOps pipelines, and containerization is a plus.
  • Experience with Bayesian/Probabilistic modeling frameworks (e.g., PyMC, Stan) is a plus.
  • Strong business acumen
    , especially within digital and traditional marketing domains
    ; ability to translate data insights into clear strategic…
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