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Climate Data Scientist Jobs in Michigan (NOW HIRING)

Impact Climate Technologies

HVAC Estimator

Ferndale, MI · On-site

... data centers, life sciences, healthcare, and other demanding environments. Our strength lies in ... As part of the Impact Climate Technologies (ICT) family of companies, we are backed by a leading ...

Varsity Tutors

Earth Science Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

... to climate. Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy.

Varsity Tutors

Earth Science Tutor

Detroit, MI · Remote

$18 - $40/hr

... to climate. Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy.

Varsity Tutors

Earth Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

... to climate. Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy.

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All JobsClimate Data Scientist JobsClimate Data Scientist Jobs in Michigan

Climate Data Scientist information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do climate data scientist jobs pay per year?

As of Aug 13, 2026, the average yearly pay for climate data scientist in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What is a climate data scientist?

A Climate Data Scientist analyzes large datasets related to climate and environmental changes to identify patterns, make predictions, and support decision-making. They use statistical models, machine learning, and data visualization techniques to assess climate trends, extreme weather events, and environmental risks. Their work often supports policymakers, researchers, and organizations in mitigating climate change impacts and developing sustainable solutions.

What does a climate data scientist do?

Climate Data Scientists typically work on projects such as analyzing large climate datasets, developing predictive models for weather or environmental trends, and visualizing data to support scientific or policy reports. Day-to-day tasks may include cleaning and processing data, running simulations, and collaborating with other scientists or policy experts. There’s also a strong focus on communicating findings to both technical and non-technical audiences, often as part of a multidisciplinary team. This variety ensures that each day brings new challenges and opportunities to contribute to impactful environmental solutions.

What are the key skills and qualifications needed to thrive as a climate data scientist?

To thrive as a Climate Data Scientist, you need a strong background in statistics, environmental science, and programming, often supported by an advanced degree in a related field. Expertise with data analysis tools like Python, R, machine learning libraries, and experience with geospatial systems such as GIS is highly valued. Strong problem-solving, communication, and collaboration skills help you interpret complex climate data and convey insights to diverse stakeholders. These abilities are crucial for effectively turning vast climate datasets into actionable information that drives environmental research and policy decisions.

What are the most commonly searched types of Climate Data Scientist jobs in Michigan?

The most popular types of Climate Data Scientist jobs in Michigan are:

What are popular job titles related to Climate Data Scientist jobs in Michigan?

For Climate Data Scientist jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Climate Data Scientist jobs in Michigan look for?

The top searched job categories for Climate Data Scientist jobs in Michigan are:

Climate Data Scientist jobs near you
Infographic showing various Climate Data Scientist job openings in Michigan as of July 2026, with employment types broken down into 81% Full Time, 15% Part Time, 1% Temporary, 1% Contract, and 2% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Data Scientist - Machine Learning Practitioner

BlueConduit

Ann Arbor, MI • On-site

$140K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 27 days ago

Job description

Company overview
BlueConduit is an infrastructure analytics SaaS company and social enterprise helping communities make better, faster, and more equitable decisions about critical water infrastructure. Our founding team pioneered predictive modeling for lead service line replacement in Flint, Michigan, and BlueConduit now works with hundreds of cities and utilities across North America.
Our platform helps utilities, municipalities, government agencies, and consultants combine fragmented infrastructure records, field observations, geospatial data, and predictive models to identify risk, prioritize work, meet compliance requirements, and communicate clearly with the public. We are a remote-first team committed to using data science for social good and building tools that are trusted by the people making high-stakes infrastructure decisions.
The role
BlueConduit is hiring a Data Scientist to improve and expand the machine learning models at the core of our infrastructure analytics platform. In this role, you will work on models that help cities prioritize infrastructure investments, reduce risk, and improve drinking water outcomes. You will strengthen our existing modeling workflows, help launch new model products and asset classes, and communicate results clearly to both technical and nontechnical audiences.
This is a strong fit for someone who combines rigorous applied ML judgment with product-minded execution: you enjoy messy real-world data, care about model validation and uncertainty, can build repeatable workflows rather than one-off analyses, and like explaining technical work to people who need to act on it.
In this role you will be expected to be using the latest available AI tools to code productively. You will need to understand what you're building and coding, and understand agentic AI workflows that involve best practices, including unit tests, built-in code reviews, and extensive documentation in your commits for fellow data scientists and software engineers.
This role reports to the VP of Data Science.
What you'll do
  • Build, validate, and improve machine learning and statistical models used in BlueConduit's infrastructure analytics products
  • Help design, build, and launch new model products and model classes that broaden the assets and risks BlueConduit can predict
  • Improve data science workflows, model evaluation, reproducibility, and handoffs into software/product systems
  • Work with heterogeneous municipal, infrastructure, geospatial, and field-observation datasets to generate actionable risk predictions
  • Design validation approaches and communicate model uncertainty, limitations, and tradeoffs clearly to internal teams and customers
  • Use modern AI coding tools such as Claude Code, Codex, or similar systems to accelerate development while applying strong independent programming judgment
  • Use multiple AI agents to contribute to extremely robust workflows and code pipelines with built-in testing and reviews
  • Support customer-facing analysis and present findings in ways that are clear, accurate, and useful for nontechnical decision-makers
  • Contribute to R&D that scales the impact, reliability, and reach of BlueConduit's predictive methods

BlueConduit is a small, remote, and growing team, so this is an opportunity to shape both the role and the next generation of our data science products.
What we're looking for
  • Strong Python-based data science experience, including pandas, NumPy, scikit-learn, and production-quality analysis workflows
  • An undergraduate degree in a quantitative field (e.g., CS, math, stats, physics)
  • Experience building, validating, and improving machine learning or statistical models on messy real-world data
  • Experience building repeatable data science workflows in a product at a SaaS company or similarly operational environment
  • Ability to communicate modeling results, uncertainty, and tradeoffs clearly to technical and nontechnical stakeholders
  • Fluency using modern AI coding tools - including coordinating work of AI agents - to accelerate development, grounded in strong independent programming ability and judgment
  • Strong data visualization, verbal communication, and written communication skills
  • Comfort with Git-based development workflows
  • Attention to detail, curiosity, and commitment to building models that are understandable, usable, and trusted by the people making infrastructure decisions
  • Passion for socially impactful data science, environmental justice, and public-interest technology
We're especially interested in candidates with one or more of the following
  • A rigorous graduate degree in a quantitative field, or equivalent applied experience
  • Experience modeling asset classes beyond BlueConduit's current water distribution portfolio, such as fire risk, wastewater, hydraulic systems, climate risk, insurance risk, or other infrastructure domains
  • Experience with geospatial data, GIS systems, GeoPandas, or spatial modeling
  • Experience creating a new model product or extending an existing model product to a new domain or asset class
  • Experience with both global/cross-location models and local/site-specific models
  • Experience with methodologies beyond classical ML, such as neural networks, transformers, transfer learning, or other modern ML approaches
  • Experience with cloud-based model workflows, model tracking, versioning, Databricks, PySpark, or distributed computing
  • Familiarity with infrastructure, water quality, government data, or regulated public-sector decision environments
  • Experience working in Agile product development environments
  • Aptitude and interest in building with rapid iteration cycles involving prototyping, receiving feedback, and rebuilding
Location
Remote
Compensation
  • Expected salary range: $140,000-$150,000, commensurate with experience
  • Equity options
  • Health, vision and dental benefits
  • Simple IRA benefit with company contribution matching

Every qualified applicant will receive consideration for employment without regard to race, age, color, religion, sex, sexual orientation, or national origin.

Apply