1

Freelance Data Science Startup Jobs in Michigan (NOW HIRING)

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... Experience in fast-paced, high-growth, or startup environments What does success in this role look ...

... startup activities to ensure alignment with software engineering best practices. * Use data-driven ... Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical ...

New

$95K - $124K/yr

This individual will collaborate closely with the development scientists, engineers, operations ... Experience with sterile GMP facility startup. * Knowledge of Investigational drug regulatory ...

New

$95K - $124K/yr

This individual will collaborate closely with the development scientists, engineers, operations ... Experience with sterile GMP facility startup. * Knowledge of Investigational drug regulatory ...

New

Showing results 21-40

Freelance Data Science Startup information

What is a freelance data science startup?

A Freelance Data Science Startup is a small business or entrepreneurial venture where individuals or small teams offer data science services independently, rather than working as full-time employees for a single company. These startups provide solutions such as data analysis, machine learning, predictive modeling, and data visualization to various clients on a project basis. Freelance data science startups often work with businesses that need expertise for specific projects or lack in-house data science resources. They may operate remotely and handle multiple clients simultaneously, allowing for flexibility and diverse experience. This model is popular among data scientists seeking autonomy and a variety of challenging projects.

What skills and qualifications are needed to thrive as a freelance data science startup founder?

To thrive as a Freelance Data Science Startup founder, you need strong expertise in data analysis, machine learning, programming (Python/R), and a solid educational background in statistics or computer science. Familiarity with tools like Jupyter, TensorFlow, cloud platforms (AWS, GCP), and data visualization software, as well as relevant certifications, is highly beneficial. Exceptional communication, client management, and entrepreneurial skills help differentiate successful founders in this space. These skills are crucial for delivering high-quality solutions, winning clients, and sustaining a competitive edge in the evolving data science market.

What unique challenges do freelance data scientists face when working with startups, and how can they manage them?

Freelance data scientists working with startups often encounter challenges such as rapidly changing project scopes, limited historical data, and the need to wear multiple hats. Since startups typically operate in fast-paced environments, priorities can shift quickly, requiring adaptability and strong communication skills. To manage these challenges, it's important to set clear expectations upfront, maintain transparent communication with stakeholders, and design flexible data solutions that can evolve as the business grows. Building strong relationships with both technical and non-technical team members can also help ensure project alignment and successful outcomes.

What is the difference between Freelance Data Science Startup vs Data Analyst?

AspectFreelance Data Science StartupData Analyst
CredentialsRelevant degrees, certifications in data science or analyticsDegree in statistics, data analysis, or related fields
Work EnvironmentIndependent, project-based, remote or on-siteTypically in corporate or organizational settings, often full-time
Employer & IndustrySelf-employed or startup clients across various industriesEmployers in finance, marketing, healthcare, etc.
Search & Comparison IntentLooking for freelance opportunities or startup roles in data scienceSeeking data analysis roles within organizations

Freelance Data Science Startups focus on independent, project-based work involving advanced data modeling and machine learning, often serving multiple clients. Data Analysts typically work within organizations analyzing data to inform business decisions. While both roles require analytical skills, freelance data science startups emphasize entrepreneurship and technical expertise, whereas data analysts focus on operational data insights within a company.

What are the most commonly searched types of Data Science Startup jobs in Michigan?

The most popular types of Data Science Startup jobs in Michigan are:

What job categories do people searching Freelance Data Science Startup jobs in Michigan look for?

The top searched job categories for Freelance Data Science Startup jobs in Michigan are:

What cities in Michigan are hiring for Freelance Data Science Startup jobs?

Cities in Michigan with the most Freelance Data Science Startup job openings:

Infographic showing various Freelance Data Science Startup job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Product Engineer

Belle, LLC

Detroit, MI • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

About Belle

Belle is a fast growing engagement company that is revolutionizing home healthcare - and it all begins with the feet. With 25M+ U.S. seniors no longer able to see or reach their feet, a lack of self care and mobility challenges cost the health insurance plans $38B+ in preventable medical spending every year.

Belle trains and manages a network of nail technicians or "Community Health Workers" who provide in-home foot care (aka medical pedicures). Belle uses cutting edge data science to identify those most in need on behalf of health plans and deploys its services accordingly. While in the home, Community Health Workers complete assessments and screenings, often being the first to identify emerging issues below and above the knee. As these issues arise, a team of remote nurses coordinate care with other healthcare providers - preventing serious and costly episodes.

Our mission: Bring Joy to Healthcare. Join us if our cause inspires you!

We're looking for a Senior Product Engineer who operates as a true product partner. You'll own significant areas of our product, make architectural decisions, and influence what we build-not just how. A core pillar of this role is data and analytics: you'll own the infrastructure, models, and reporting that make Belle a genuinely KPI-driven organization. You think in terms of patient and operational outcomes, weigh tradeoffs against business impact, and can push back on a spec when the data or the user need points elsewhere. You set the technical bar for the team and raise the people around you.

What You'll Do
  • Lead the design and delivery of major features across our Ruby on Rails web app and React Native mobile app
  • Own data and analytics as a core part of the role-build and maintain the reporting, dashboards, and underlying data models the entire organization relies on to make decisions
  • Partner with product and clinical leadership to shape roadmap and translate operational strategy into technical direction
  • Own architecture and technical decisions for your areas; balance speed, scalability, and maintainability
  • Set the standard for how the team uses AI coding tools to ship faster without sacrificing quality
  • Mentor engineers through code review, pairing, and design discussion
  • Identify high-leverage opportunities in product, operations, and data-and drive them
  • Help shape engineering practices, standards, and culture as we scale
Potential Products You Would Own
  • Our Community Health Worker mobile application that drives productivity, engagement, and data capture for our in-field mobile workforce
  • Our suite of scheduling and logistics tooling that drive workforce utilization and member engagement
  • A custom CRM platform that enables our growth and retention marketing teams to power predictable, cost-effective growth
  • Clinical tooling to drive patient outcomes and utilization/efficacy of our clinical staff

Requirements

      • 5+ years of professional software engineering experience building and shipping production software
      • Deep experience with React (or React Native) and Ruby on Rails-required
      • Strong command of SQL and relational databases-you can model data well, write performant queries, and reason about schema design. Data and analytics are a core pillar of this role, and our engineers own them, not just features
      • A track record of owning features or products end to end, including the product thinking behind them
      • Comfort operating with incomplete information, making decisions without extensive process, and building systems that may support 10x growth over the next few years
      • You're an early adopter and power user of AI coding tools (Claude Code, Codex, Cursor, etc.) and can show others how to get the most out of them
      • Strong product judgment: you've influenced what gets built, killed bad ideas early, and measured impact after shipping
      • A builder at heart-you make things on your own time because you can't help it (see concrete ask below)
      • Experience mentoring engineers and elevating team standards
      • Excellent communication across technical and non-technical stakeholders
Bonus if You Have:
    • Metabase or similar BI tooling-you'll likely be building in it regularly
    • Inertia.js experience
    • Healthcare, digital health, Medicare, or value-based care experience
    • Experience in fast-paced, high-growth, or startup environments

What does success in this role look like?

    • Within your first 12 months, you will:
    • Own a major product area
    • Improve company-wide reporting and analytics
    • Mentor and support other engineers on our team
    • Drive measurable improvements in operational KPIs through your product initiatives
One Concrete Ask

Send us something you've built-ideally something you own beyond your day job. A side project, an open-source contribution, a tool that scratched your own itch. Tell us what it does, the most interesting technical or product decision you made, and how AI coding tools fit into how you work today. We'd rather see one thing you're proud of than a long list of past employers..

Benefits

  • Competitive compensation based on experience
  • Health, Dental, and Vision Insurance Benefits
  • 401k
  • PTO, Sick, Wellness leave, and Paid Holidays
  • Opportunity for significant career growth and expansion of responsibilities
  • Ability to reshape an industry and protect lives