Sr. Data Scientist - Predictive Planning

Ovative Group • Minneapolis, MN

7d • $90,000 - $132,000

About The Position

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. How do we do it? 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. 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 and offshore resources, 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.

Requirements

• 5+ 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.
• 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 machine learning, optimization algorithms, advanced statistical modeling, with hands-on experience in the areas listed below.
• Demonstrated expertise in object-oriented programming in Python and industry best practices in writing scalable and maintainable code related to Media Mix Modeling (MMM) and Optimization algorithms (ex. Gradient-based, Convex optimization and Greedy algorithms)
• Experience with Linear Algebra, Bayesian modeling, and with Poetry, Docker and cloud services (such as Azure, Databricks)
• Experience with Attribution Modeling and Generative AI Data Science is preferred, although not required
• 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.

Nice To Haves

• Proficiency in the following preferred programming and data environments: Languages: Python Tools: Git, Docker, Poetry, Azure Data platforms: BigQuery, Databricks

Responsibilities

• Lead technical data science contributor in a high-performance multi-disciplinary team comprising of data science, data engineering, and full stack members, 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

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. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential. 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.
• 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 teams Flexible 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees