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Manager Reddit 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 ...

Data Science Tutor

Ann Arbor, MI ยท Remote

$18 - $40/hr

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

Data Science Tutor

Kalamazoo, MI ยท Remote

$18 - $40/hr

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

Data Science Tutor

Detroit, MI ยท Remote

$18 - $40/hr

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

Communicate data science outputs effectively and support the development of models and solutions that provide clear, actionable insights for business execution. * Plan, organize, and manage resources ...

Communicate data science outputs effectively and support the development of models and solutions that provide clear, actionable insights for business execution. * Plan, organize, and manage resources ...

Communicate data science outputs effectively and support the development of models and solutions that provide clear, actionable insights for business execution. * Plan, organize, and manage resources ...

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Manager Reddit Data Science information

How much do Reddit data science managers make?

Reddit data science managers typically earn between $120,000 and $180,000 annually, depending on experience, location, and company size. They often oversee data analysis teams, utilize tools like Python and SQL, and require strong statistical and leadership skills.

Is 30 too late for data science?

For a Manager in Reddit Data Science or similar roles, starting a career in data science at age 30 is feasible, as many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and gaining practical experience. Age is less important than skills, experience, and continuous learning in the data science industry.

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

To thrive as a Manager, Reddit Data Science, you need expertise in statistical analysis, machine learning, data visualization, and a solid background in computer science or a related field, often supported by an advanced degree. Familiarity with tools like Python, SQL, big data platforms (e.g., Spark), and data visualization software, as well as experience with experimentation frameworks, is typically required. Strong leadership, communication, and project management skills enable effective team guidance and stakeholder collaboration. These skills are crucial for extracting actionable insights from large datasets, leading data-driven projects, and aligning analytics initiatives with business goals.

How does a Manager of Reddit Data Science typically collaborate with cross-functional teams to drive data-driven initiatives?

As a Manager of Reddit Data Science, you'll regularly collaborate with product managers, engineers, designers, and business stakeholders to ensure data insights inform key decisions. This involves translating complex analyses into actionable recommendations, leading data-driven experiments, and aligning team priorities with company objectives. You'll also mentor data scientists, foster a collaborative team culture, and facilitate communication between data science and other departments to ensure projects are impactful and aligned with overall strategy.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 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 skills in machine learning, data analysis, and leadership are important for this role.

What is the difference between Manager Reddit Data Science vs Data Scientist Reddit?

AspectManager Reddit Data ScienceData Scientist Reddit
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageTech companies, online platforms, social media firmsTech, finance, healthcare, research organizations

The main difference is that a Manager Reddit Data Science oversees teams and projects, focusing on strategic leadership, while a Data Scientist Reddit primarily conducts data analysis and model development. Both roles require strong technical skills, but the manager role emphasizes leadership and project management.

What is the 80 20 rule in data science?

The 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means that a small subset of features or data points significantly influences model performance, guiding data prioritization and feature selection for managers and analysts.

What does a Manager of Reddit Data Science do?

A Manager of Reddit Data Science leads a team of data scientists who analyze Reddit's vast user data to uncover insights, improve user experience, and guide business decisions. They oversee data projects, collaborate with engineering and product teams, and ensure the quality and impact of data-driven solutions. The manager is also responsible for mentoring team members, setting goals, and aligning data science efforts with Reddit's strategic objectives.
What are the most commonly searched types of Reddit Data Science jobs in Michigan? The most popular types of Reddit Data Science jobs in Michigan are:
What are popular job titles related to Manager Reddit Data Science jobs in Michigan? For Manager Reddit Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Manager Reddit Data Science jobs in Michigan look for? The top searched job categories for Manager Reddit Data Science jobs in Michigan are:
What cities in Michigan are hiring for Manager Reddit Data Science jobs? Cities in Michigan with the most Manager Reddit Data Science job openings:

Manager, Data Science

Conclusive Marketing

Detroit, MI โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 10 hours 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.