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

Director, Product

Detroit, MI · Remote

$238K - $249K/yr

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Partner with Data Engineering and Data Science to ensure AI and ML outputs -- propensity models ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy ...

Showing results 41-60

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

What are the most commonly searched types of Data Science jobs in Novi, MI?

The most popular types of Data Science jobs in Novi, MI are:

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

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

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

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

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

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

Infographic showing various Remote Data Science job openings in Novi, MI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AVP, Business Analytics & AI (REMOTE)

Amerisure Mutual Insurance Company

Farmington Hills, MI • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago


Key responsibilities

  • Lead, direct, and develop staff in the area of data, analytics, and AI to ensure alignment with the company's strategic goals.

  • Execute the enterprise data, analytics, and AI strategy through roadmap delivery, portfolio management, and benefits realization.

  • Partner with business and technology leaders to design, deliver, and embed analytics and AI solutions that drive measurable business outcomes.


Job description

Amerisure creates exceptional value for its partners, policyholders, and employees. As a property and casualty insurance company, Amerisure's promise to our partner agencies and policyholders begins with a comprehensive line of insurance products designed to protect businesses, as well as the health and safety of every employee. With an A.M. Best "A" (Excellent) rating, Amerisure serves mid-sized commercial enterprises focused in construction, manufacturing and healthcare. Ranked as one of the top 100 Property & Casualty companies in the United States, we proudly manage nearly $1 Billion of Direct Written Premium and maintain $1.21 billion in surplus.

Amerisure is currently recruiting for an AVP, Business Analytics & AI that can sit remotely. We're looking for a visionary analytics leader to drive strategic insights and business performance. The ideal candidate brings expertise in data analytics, stakeholder leadership, and business strategy, with a proven ability to translate data into impactful decisions that fuel organizational success.The ideal candidate will also possess the following skill set.

Summary Statement

Enterprise business leader responsible for execution and delivery of the enterprise data, analytics, and AI strategy in partnership with the CIDO and business leaders. Drives measurable business outcomes, builds data- and AI- culture, and governs data and AI for trusted reusable products. This role leads analytics products, data engineering, data governance, and enterprise AI execution including AI portfolio management and AI Operations to support profitable growth and operational efficiency. The AVP partners closely with business and technology leaders to embed trusted, valuedriven data, analytics and AI across the organization.

Essential Tasks/Major Duties

  • Lead, direct, and develop staff in area of responsibility with an emphasis on talent management and succession planning in accordance with the company's strategic direction.
  • Execute the enterprise data, analytics, and AI strategy through roadmap delivery and portfolio management, including intake, prioritization, planning, value tracking, and benefits realization.
  • Partner with business leaders to design, deliver, and embed analytics and AI solutions-including dashboards, models, and AIenabled decision support-driving adoption and measurable business outcomes.
  • Lead analytics product management and AI factory, including lifecycle management, monitoring, drift detection, value tracking, and assessment of AIrelated operational, regulatory, and business risks in compliance with enterprise governance standards.
  • Define and monitor KPIs for adoption, quality, timeliness, and business impact; present insights to senior leadership.
  • Serve as the bridge between business and technology, ensuring successful delivery of datadriven initiatives.
  • Operationalize data governance, privacy, stewardship, and AI risk controls by partnering with Legal, Compliance, and Risk to ensure execution readiness, required reviews, and compliant documentation.
  • Partner with Architecture and technology teams to ensure scalable data architecture, reliable integration and interoperability, security, and effective data lifecycle, retention, and recovery practices supporting continuity and regulatory needs.
  • Guide investments in analytics talent, platforms, and technologies, and oversee vendor and system integrator performance, delivery outcomes, and value realization.
  • Champion enterprise data and AI fluency, driving a datadriven culture through training, communication, and engagement.

Knowledge, Skills & Abilities

  • Bachelor's degree in Data Science, Computer Science, Business, Statistics, or related field required; Master's degree preferred.
  • 15 years of progressive experience in data, analytics, AI, or technologyrelated roles, with increasing responsibility and scope.
  • 7 years of formal leadership experience, including leading crossfunctional teams and, preferably, managers or senior individual contributors.
  • Demonstrated success delivering enterprisescale data, analytics, or AI initiatives that drive measurable business outcomes.
  • Experience operating within P&C insurance, including collaboration with Risk, Compliance, Legal, and Audit stakeholders.
  • Proven ability to partner effectively with business leaders and technology teams to translate strategy into execution, adoption, and realized value.
  • Deep understanding of data architecture, data governance, advanced analytics (AI/ML), and analytics tools.
  • Handson familiarity with Databricks, AWS, Cliz, and integration to core P&C platforms (e.g., Guidewire).
  • Experience operationalizing genAI/agentic AI in regulated environments (prompt engineering and evaluation, RAG/knowledge management, content moderation, cost & latency optimization).
  • Demonstrated success implementing NAIC/NISTaligned AI governance and model risk management.
  • Proven results shipping AI at scale in at least two of: underwriting workbench, claims assistant/triage, pricing experimentation platform, knowledge management for frontline staff preferred

#LI-Remote

Just as we are committed to creating exceptional value for our Partners For Success agencies and policyholders, Amerisure also remains committed to being an employer of choice. We reinforce this commitment by adhering to an Employee Value Proposition that, in part, is provided through a competitive total rewards package. This package includes competitive base pay, performance-based incentive pay, comprehensive health and welfare benefits, a 401(k) savings plan with profit sharing, and generous paid time off programs. We also offer flexible work arrangements to promote work-life balance. Recognized as one of the Best and Brightest Companies to Work For in the Nation and one of Business Insurance magazine's Best Places to Work in Insurance, we provide a workplace that fosters excellence and professional growth. If you are looking for a collaborative and rewarding career, Amerisure is looking for you.

Amerisure Mutual Insurance Company is an Equal Employment Opportunity employer. Amerisure provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex (to include sexual orientation and gender identity), national origin, age, disability, genetic information, veteran status, or any other protected characteristic under applicable federal, state, or local laws. Amerisure complies with all applicable laws governing nondiscrimination in employment in all locations where the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Amerisure prohibits harassment or discrimination of any kind and is committed to maintaining a workplace free from unlawful harassment or discrimination. Amerisure prohibits retaliation against anyone who reports discrimination, participates in an investigation, or opposes unlawful practices. Any improper interference with an employee's ability to perform their job duties may result in disciplinary action, up to and including termination.