Manager, Data Science

OneMagnify • Detroit, MI

3d

About The Position

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets. As a Manager of Data Science at OneMagnify, you’ll lead a team focused on turning complex data into decisions that drive measurable business outcomes. You’ll sit at the center of our DAAI Data Science team, connecting client strategy with advanced modeling, machine learning, and modern data platforms. This role owns both the work and the team, setting direction across projects, developing talent, and ensuring what we build is technically sound, deployed, and used to influence real business decisions. You’ll shape how leading brands use data science to improve marketing, customer strategy, forecasting, and performance. This role spans a broad range of work, from predictive modeling and optimization to advanced measurement and decision-support solutions. The outputs are not just models, they are tools clients use to make smarter investment, operational, and growth decisions. This role is central to how OneMagnify delivers integrated solutions. You’ll work across strategy, media, marketing, and engineering teams to ensure models are not only technically sound, but deployed into platforms, campaigns, and workflows where they drive measurable results. Because we operate across data, media, and technology, you’ll see your work move quickly from model to activation in a way most data science roles do not. You’ll also help standardize how we build and deploy models, establishing approaches for model governance, documentation, and responsible AI that scale across clients and industries.

Requirements

• 5–7+ years of experience in data science, advanced analytics, or predictive modeling
• Proven experience leading data science teams, setting technical direction, and delivering complex, high-impact projects
• Strong programming skills in Python (preferred) or R for modeling and analysis
• Advanced SQL and experience working in cloud-based environments (Azure, AWS, or similar)
• Deep understanding of regression, classification, clustering, A/B testing, and audience segmentation
• Experience building or leading advanced modeling solutions such as predictive models, forecasting, optimization, MMM, MTA, or related decisioning frameworks
• Hands-on experience with platforms like Databricks, Azure Machine Learning, and/or Snowflake
• Ability to translate complex analytical outputs into clear, actionable business insights
• Bachelor’s degree in a quantitative field (Master’s preferred)
• Experience in marketing, digital, consulting, or data-driven services environments

Nice To Haves

• Deep experience working with complex, multi-source data environments, including MDM concepts and data alignment across systems
• Experience applying MLOps practices, including model monitoring, feature stores, and end-to-end model lifecycle management
• Experience working in Martech or Adtech data environments, including CRM analytics, audience segmentation, and campaign measurement
• Experience working with marketing technology ecosystems such as CRM, CDP, and media platforms
• Experience working in consulting, digital agency, or marketing services environments with multiple client data ecosystem

Responsibilities

• Lead Advanced Modeling Solutions: Own the design and delivery of machine learning models and statistical solutions that directly inform client decisions
• Lead a range of analytical approaches, including predictive modeling, forecasting, optimization, segmentation, and measurement frameworks based on client need
• Ensure outputs are clear, actionable, and tied to measurable business outcomes across marketing, customer, and operational use cases
• Translate Business Problems into Scalable Solutions: Partner with client and internal strategy teams to define the right analytical approach for each business challenge
• Turn ambiguous questions into structured modeling frameworks, project plans, and measurable outcomes
• Align modeling work to business KPIs such as media efficiency, customer acquisition, and revenue growth
• Drive Production-Ready Data Science: Guide the development of production-grade pipelines using platforms like Databricks and Azure Machine Learning
• Partner with engineering teams to deploy models into live environments and operational workflows
• Continuously improve model performance so outputs remain trusted, relevant, and actively used by the business
• Lead and Grow a High-Performing Team: Manage and mentor data scientists and analysts, strengthening both technical expertise and business acumen
• Set clear direction across projects while supporting individual development and growth
• Provide feedback, coaching, and support across multiple initiatives
• Collaborate Across Disciplines: Work across strategy, media, marketing, and engineering teams to deliver integrated, end-to-end solutions
• Present complex findings in a way that drives alignment and action across both technical and non-technical stakeholders
• Bridge the gap between advanced modeling and real-world business execution
• Evolve Our Data Science Capability: Identify and test new tools, data sources, and modeling approaches that improve how we solve client problems
• Contribute to standards for model governance, documentation, and responsible AI
• Help shape how we use platforms like Snowflake and Databricks to scale delivery

Benefits

• medical, dental, and vision coverage
• a 401(k) retirement plan
• paid holidays
• Flexible Time Off (FTO)
• additional programs focused on wellness, financial security, and professional growth

What This Job Offers

• Job Type: Full-time
• Career Level: Manager