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Manager Meta Data Science Jobs in Michigan (NOW HIRING)

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 ...

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 ...

As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to solve complex business problems. You'll play a key role in shaping the direction of the Data Science ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

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Manager Meta Data Science information

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists and managers often focus on the most impactful features or data subsets to optimize model performance and resource allocation.

Is 40 too old for data science?

Age is not a barrier to becoming a manager in data science; many professionals successfully transition into the field at various ages. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and staying current with industry trends. Employers value diverse experience and problem-solving abilities regardless of age.

How much do meta data scientist managers make?

Meta Data Science Manager salaries typically range from $130,000 to $200,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options. Strong leadership, technical skills, and experience with machine learning tools are important for this role.

What does a Manager of Meta Data Science do?

A Manager of Meta Data Science leads a team of data scientists in developing and implementing advanced analytics, machine learning models, and data-driven strategies for Meta (formerly Facebook). They are responsible for overseeing projects, mentoring team members, collaborating with cross-functional partners, and ensuring that data science solutions align with business goals. This role often requires both technical expertise and strong leadership skills to drive impactful decisions using data. Additionally, they work to improve processes, set research direction, and communicate findings to stakeholders.

What is the salary of a Data Scientist in Meta?

A Data Scientist at Meta typically earns a base salary ranging from $120,000 to $180,000 annually, depending on experience and location. Total compensation often includes bonuses, stock options, and other benefits, reflecting the company's competitive pay structure for data science roles.

How does a Manager Meta Data Science typically collaborate with cross-functional teams, and what communication challenges might arise?

A Manager Meta Data Science frequently collaborates with product managers, engineers, data analysts, and business stakeholders to ensure data-driven decision-making aligns with organizational goals. One common challenge is translating complex data science concepts into actionable business insights that are easily understood by non-technical teams. Effective communication and regular alignment meetings are essential to bridge knowledge gaps and ensure everyone is on the same page. Building strong relationships across departments and fostering a culture of transparency can help mitigate misunderstandings and streamline project delivery.

What are the key skills and qualifications needed to thrive as a Manager Meta Data Science, and why are they important?

To thrive as a Manager Meta Data Science, you need strong expertise in data science, machine learning, statistical analysis, and a relevant advanced degree, often in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms, as well as experience with big data frameworks, are typically required. Leadership, strategic thinking, and effective communication are crucial soft skills that enable success in managing teams and collaborating across departments. These skills are important because they ensure the ability to lead complex projects, drive data-driven decision-making, and align analytics goals with organizational objectives.
What job categories do people searching Manager Meta Data Science jobs in Michigan look for? The top searched job categories for Manager Meta Data Science jobs in Michigan are:
What cities in Michigan are hiring for Manager Meta Data Science jobs? Cities in Michigan with the most Manager Meta Data Science job openings:

Manager, Data Science

Conclusive Marketing

Detroit, MI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 24 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.