About the Role
As the Senior Data Scientist, you will develop advanced marketing measurement capabilities to transform the measure of marketing success. You will create and deliver AI-assisted data science and measurement solutions focused on maximizing profitable enterprise revenue and customer value for clients. You will partner with experts, business leaders, analysts, and scientists at Ovative, engage with clients, and define solution roadmaps. Additionally, you will provide technical mentoring to junior data scientists and collaborate with technology leaders, product owners, and engineers to scale novel solutions into services and product offerings. You will contribute to an inclusive culture that inspires and attracts diverse technical talent.
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
- 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
- Proficiency in the following preferred programming and data environments: Languages: SQL, and/or R or Python; Tools: Git, Docker, MLOps, POSIT IDEs, cloud notebooks, Frameworks like Shiny, Streamlit, etc; Data platforms: BigQuery, 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 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
- Familiarity with Generative AI applications in marketing analytics (e.g., using LLMs for data summarization, content tagging, or creative testing insights)
Skills
- Data Science
- Analytics
- Statistical Modeling
- Machine Learning
- Media Mix Modeling (MMM)
- Incrementality Testing
- Causal Inference
- Attribution Modeling
- Customer Analytics
- Lifetime Value (CLV) Modeling
- Segmentation
- Generative AI
- SQL
- R
- Python
- Git
- Docker
- MLOps
- POSIT IDEs
- Cloud Notebooks
- Shiny
- Streamlit
- BigQuery
- Databricks
- AWS
- GCP
- Azure
- Bayesian Modeling
- Probabilistic Modeling
- PyMC
- Stan
- Communication
- Leadership
- Mentorship
Location
- MSP
- NYC
- CHI
Work Type
- Full-time
- Hybrid
Experience Level
- Senior
- 5+ years
Salary/Compensations
- $90,000 to $132,000 (inclusive of 20% bonus)
Benefits
- Strong, competitive, holistic benefits
- Compensation and Insurance
- Fair, competitive compensation with a large bonus incentive
- Phenomenal health insurance
- 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 teams
- Generous 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
- Shenanigan’s Day
About the Company
- Ovative Group is an independent, full-funnel media, measurement, and creative firm.
- Leveraging 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 is profitable growth that speaks for itself.
- At Ovative, we don't just track data, we redefine success.
- Our proprietary MarTech 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, EMRge is the first MarTech 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.
Equal Opportunity
- Ovative is committed to fostering an inclusive environment where everyone can participate and thrive.
- We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression.
- Our policies reflect this commitment—for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families.
