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Data Science Manager Remote Jobs in Novi, MI (NOW HIRING)

Horizontal Talent

Data Modeler

Sterling Heights, MI · Remote

$51 - $66/hr

Bachelor's degree in Data Management, Data Science, Math, Statistics, or a related discipline, or equivalent experience. * Strong knowledge of data modeling concepts, including ERDs, normalization ...

New

Directive

Paid Social Manager (Remote US)

Detroit, MI · Remote

Ability to analyze campaign performance data using tools like Google Analytics, GA4, Excel, or ... Ability to organize, prioritize and manage multiple projects simultaneously * You're quality ...

Directive

Paid Media Manager (Remote US)

Detroit, MI · Remote

$70K - $95K/yr

Ability to analyze campaign performance data using tools like Google Analytics, GA4, Excel, or ... Ability to organize, prioritize and manage multiple projects simultaneously * You're quality ...

Belle, LLC

Nurse Practitioner: Remote Urgent Care

Detroit, MI · Remote

$109K - $151K/yr

Belle trains and manages a network of nail technicians or "Belle Technicians" who provide in-home ... Belle uses cutting edge data science to identify those most in need on behalf of health plans and ...

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All JobsData Science JobsData Science Manager Remote JobsData Science Manager Remote Jobs in Novi, MI

Data Science Manager Remote information

See Novi, MI salary details

$29.1K

$91.1K

$161.4K

How much do data science manager remote jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science manager remote in Novi, MI is $91,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $117,700.00 per year, depending on experience, location, and employer.

What does a data science manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What are the key skills and qualifications needed to thrive as a data science manager?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a data science manager typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are popular job titles related to Data Science Manager Remote jobs in Novi, MI?

For Data Science Manager Remote jobs in Novi, MI, the most frequently searched job titles are:

What job categories do people searching Data Science Manager Remote jobs in Novi, MI look for?

The top searched job categories for Data Science Manager Remote jobs in Novi, MI are:

What cities near Novi, MI are hiring for Data Science Manager Remote jobs?

Cities near Novi, MI with the most Data Science Manager Remote job openings:

Data Science Manager Remote jobs near you
Infographic showing various Data Science Manager Remote job openings in Novi, MI as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $91,141 per year, or $43.8 per hour.

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Ferndale, MI • On-site, Remote

$62.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago

Job description

About Us

At Proactive Technology Management, we're transforming how businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, we leverage cutting-edge technologies to deliver actionable insights that give our clients a competitive advantage. We're seeking a Senior Full-Stack BI Architect / Fabric Data Engineer to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you! 

Role Summary

As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric design through the use of ubiquitous language and domain-driven principles. You will leverage deep expertise in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technical expertise in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions. 

Key Responsibilities 
  • Lead the design and implementation of ETL/ELT pipelines within a medallion architecture (Bronze, Silver, and Gold layers) to ensure data quality, scalability, and accessibility across use cases.  
  • Architect and develop advanced data models that reflect domain-driven design principles, aligning with business domains and using ubiquitous language to ensure clarity and usability for all stakeholders.  
  • Design and implement star and snowflake schemas, along with medallion schema practices, to provide flexible, high-performance data structures for analytics.  
  • Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics.  
  • Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance.  
  • Build and optimize SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability.  
  • Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements.  
  • Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals.  
  • Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement.  
  • Mentor team members to build organizational capacity in BI and data engineering best practices.  

Requirements

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.  
  • 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.  
  • In-depth expertise in medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.  
  • Proven ability to implement domain-driven design (DDD) principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.  
  • Expert-level proficiency in Power BI, DAX, Power Query M, and SQL, with demonstrated success delivering scalable, impactful BI solutions.  
  • Strong programming skills with Spark Python for advanced data processing and analytics.  
  • Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.  
  • A track record of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.  
  • Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.  
  • Strong communication and leadership skills, with a focus on collaboration and stakeholder engagement.  

Benefits

  • Competitive compensation tailored to senior-level expertise.  
  • Opportunities to shape data strategy and lead transformative BI projects.  
  • Ongoing professional development through advanced training and certifications.  
  • A supportive, innovative culture that values diversity, inclusion, and creativity.  
  • Flexible remote work arrangements to support work-life balance.
  • Comprehensive health, dental, and vision insurance
  • 401(k) retirement plan with company match

If you're ready to lead the next evolution of business intelligence-harnessing the power of medallion architecture, domain-driven design, and user-centric modeling-apply today. Help us transform data into a powerful, humanized tool for business success. 

Apply