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Entry Level Climate Data Scientist Jobs in Novi, MI

Pwc

AI & GenAI Data Scientist - Manager

Detroit, MI

$99K - $232K/yr

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

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

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.

Accenture

Data Protection, A/SA-Evergreen

Detroit, MI

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

AECOM

Geologist/Environmental Scientist

Novi, MI · On-site

AECOM has an exciting opportunity for an entry-level Geologist/Environmental Scientist to join the ... Collect and record data and compare results to relevant studies, state and federal regulations to ...

AECOM

Geologist/Environmental Scientist

Novi, MI · On-site

AECOM has an exciting opportunity for an entry-level Geologist/Environmental Scientist to join the ... Collect and record data and compare results to relevant studies, state and federal regulations to ...

AECOM

Geologist/Environmental Scientist

Novi, MI

AECOM has an exciting opportunity for an entry-level Geologist/Environmental Scientist to join the ... Collect and record data and compare results to relevant studies, state and federal regulations to ...

Actalent

Entry Level Recruiter | Sales Trainee

Troy, MI · On-site

$195K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

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All JobsClimate Data Scientist JobsEntry Level Climate Data Scientist JobsEntry Level Climate Data Scientist Jobs in Novi, MI

Entry Level Climate Data Scientist information

See Novi, MI salary details

$43.2K

$154.8K

$228.5K

How much do entry level climate data scientist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for entry level climate data scientist in Novi, MI is $154,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $159,500.00 per year, depending on experience, location, and employer.

What does an entry level climate data scientist do?

An Entry Level Climate Data Scientist collects, processes, and analyzes environmental and climate data to help solve problems related to climate change. They use statistical and computational tools to interpret large datasets, create models, and generate insights for researchers, policymakers, and organizations. Their work supports efforts to understand weather patterns, predict climate trends, and develop strategies for sustainability. Often, they collaborate with teams and use programming languages like Python or R to organize and visualize data.

What are some typical projects or tasks that an entry level climate data scientist might work on during their first year?

As an entry level climate data scientist, you can expect to work on projects such as cleaning and organizing large climate datasets, running basic statistical analyses to identify trends, and helping to visualize data for reports or presentations. You might also assist in developing or refining climate models under the supervision of senior scientists, and collaborate with team members from environmental science, engineering, or policy backgrounds. Regularly, you’ll participate in team meetings to discuss project progress and share results, gaining exposure to interdisciplinary research and real-world climate solutions.

What are the key skills and qualifications needed to thrive as an entry level climate data scientist, and why are they important?

To thrive as an Entry Level Climate Data Scientist, you need a solid background in environmental science, statistics, and programming (typically with a degree in a related field). Familiarity with data analysis tools like Python, R, GIS software, and experience with climate data sets or machine learning libraries are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and present findings clearly. These skills enable accurate climate modeling and actionable insights that support impactful environmental decision-making.

What is the difference between Entry Level Climate Data Scientist vs Entry Level Environmental Data Analyst?

AspectEntry Level Climate Data ScientistEntry Level Environmental Data Analyst
Required CredentialsBachelor's in Environmental Science, Data Science, or related field; some roles prefer certifications in data analysis or climate modelingBachelor's in Environmental Science, Data Analysis, or related field; certifications in data analysis are common
Work EnvironmentResearch institutions, government agencies, climate-focused organizationsEnvironmental consulting firms, government agencies, NGOs
Employer & Industry UsageUsed in climate modeling, policy analysis, and research projectsApplied in environmental impact assessments, data reporting, and compliance

Both roles involve analyzing environmental data, but Climate Data Scientists focus more on climate models and predictive analytics, while Environmental Data Analysts handle broader environmental datasets and reporting. The roles often overlap in skills and work environments, making them common comparison points for entry-level professionals in the environmental sector.

What are popular job titles related to Entry Level Climate Data Scientist jobs in Novi, MI?

For Entry Level Climate Data Scientist jobs in Novi, MI, the most frequently searched job titles are:

What job categories do people searching Entry Level Climate Data Scientist jobs in Novi, MI look for?

The top searched job categories for Entry Level Climate Data Scientist jobs in Novi, MI are:

What cities near Novi, MI are hiring for Entry Level Climate Data Scientist jobs?

Cities near Novi, MI with the most Entry Level Climate Data Scientist job openings:

Entry Level Climate Data Scientist jobs near you
Infographic showing various Entry Level Climate Data Scientist job openings in Novi, MI as of August 2026, with employment types broken down into 2% Internship, 77% Full Time, 18% Part Time, and 3% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $154,819 per year, or $74.4 per hour.

Data Scientist - Machine Learning Practitioner

BlueConduit

Ann Arbor, MI • On-site

$140K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 12 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