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Manager Meta Data Science Jobs in Michigan (NOW HIRING)

As Manager of Data Science, you will lead a team of data scientists and analysts in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating ...

As Manager of Data Science, you will lead a team of data scientists and analysts to deliver impactful, data-driven solutions, bridging strategy and execution while ensuring technical excellence and ...

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 ...

Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ... Our team balances business strategy, technology, creativity, and ongoing managed services to solve ...

Required : • 8+ years of industry experience in data science, machine learning, or applied research, with at least 4 years managing senior individual contributors and front-line managers. • ...

New

Lead, grow, and develop a team of senior data scientists, ML engineers, and front-line managers; recruit from a small expert pool, calibrate the bar, and build a hiring brand that allows May Mobility ...

New

Required : • 8+ years of industry experience in data science, machine learning, or applied research, with at least 4 years managing senior individual contributors and front-line managers. • ...

New

Lead, grow, and develop a team of senior data scientists, ML engineers, and front-line managers; recruit from a small expert pool, calibrate the bar, and build a hiring brand that allows May Mobility ...

New

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Manager Meta Data Science information

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.

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 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 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:

Full-time

Medical, Dental, Vision, Retirement

Posted 3 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.

You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Manager of Data Science, you will lead a team of data scientists and analysts in delivering impactful, data-driven solutions. In this role, you will bridge strategy and execution-translating complex business problems into analytically sound solutions while ensuring technical excellence, timely delivery, and cross-functional collaboration.

The Manager of Data Science is responsible for coordinating the execution of end-to-end data science projects, from scoping and modeling to operationalization and insight delivery. You will partner with clients, internal teams, and technical stakeholders to develop and deploy scalable solutions that drive measurable business value.

What you'll do:

  • Lead the design, development, and deployment of statistical models, machine learning algorithms, and custom analytics solutions

  • Lead the design and execution of Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) solutions, including measurement strategy, model development, validation, and actionable insight delivery to inform media optimization and investment decisions

  • Lead and mentor a team of data scientists and analysts, fostering technical growth and cross-functional collaboration

  • Translate client goals into clear modeling strategies, project plans, and deliverables

  • Guide the development of production-level model pipelines using tools such as Databricks and Azure ML

  • Collaborate with engineering, marketing, and strategic partners to integrate models into real-world applications

  • Monitor and improve model performance, ensuring high standards for reliability and business relevance

  • Present complex analytical results to technical and non-technical audiences in a clear, actionable format

  • Support innovation by identifying new tools, methods, and data sources-including the use of Snowflake for modern data architecture

  • Promote best practices in model governance, data ethics, and responsible AI

What you'll need:
  • Minimum 5-7 years of experience in data science, analytics, or predictive modeling

  • Proven leadership experience leading analytics teams or high-impact data science projects

  • Strong programming skills in Python, R, or SAS for modeling and data analysis

  • Advanced SQL capabilities and experience working in cloud-based environments (e.g., Azure, AWS)

  • Expertise in regression, classification, clustering, A/B testing, and audience segmentation

  • Hands-on experience with tools such as Databricks, Azure Machine Learning, and Snowflake strongly preferred

  • Experience applying the modeling rigor and documentation standards required in regulated industries such as financial services is a strong plus

  • Experience designing or leading Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), or other advanced marketing measurement frameworks is a strong plus

  • Proficiency with Tableau, Power BI, and Excel for data visualization and communication

  • Strong communication skills and the ability to translate complex technical findings into business insight

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's preferred)

  • Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred.

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.