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Data Optimization Jobs in Michigan (NOW HIRING)

This role spans a broad range of work, from predictive modeling and optimization to advanced ... Because we operate across data, media, and technology, you'll see your work move quickly from model ...

Conduct comprehensive technical SEO and GEO audits of GM's websites and experiences, identifying issues related to crawlability, indexability, site speed, mobile usability, structured data, and ...

Senior Data Architect

Detroit, MI · On-site

$66.50 - $89/hr

Oversee the performance optimization, scalability and reliability of the PM2PA data flows. This may involve tuning Oracle databases or other key data sources, optimizing application performance and ...

Conduct comprehensive technical SEO and GEO audits of GM's websites and experiences, identifying issues related to crawlability, indexability, site speed, mobile usability, structured data, and ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Identify, analyze, and resolve complex technical issues related to WorkForce Software, integrations, and data processes, ensuring system stability and optimal performance. · Documentation: Create ...

You will develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will collaborate with Data Engineers ...

... optimization. · Support the migration of on-premises DataStage workloads to IBM Cloud Pak for Data ... CP4D), including code refactoring, testing, validation, and workflow modernization. · Develop and ...

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Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are the most commonly searched types of Data Optimization jobs in Michigan? The most popular types of Data Optimization jobs in Michigan are:
What are popular job titles related to Data Optimization jobs in Michigan? For Data Optimization jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Optimization jobs in Michigan look for? The top searched job categories for Data Optimization jobs in Michigan are:

Manager, Data Science

Conclusive Marketing

Detroit, MI • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 19 days ago


Job description

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.

Role Summary

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.

The Impact You'll Have:

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.

What you'll do: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
What you'll need:
  • 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

Future-Ready Skills (Nice to Have):

  • 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
Benefits

We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives. That's why we're committed to providing every employee a workplace that's free of discrimination and intolerance. We're proud to be an equal opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.