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Energy Data Science Jobs in Indiana (NOW HIRING)

IvyTech

Energy Audit Intern

Valparaiso, IN

$14.75 - $19/hr

Collect data on energy usage, lighting, HVAC systems, insulation, and appliances * Analyze utility ... Currently pursuing or recently completed a degree in Engineering, Environmental Science, Energy ...

Ivy Tech

Energy Audit Intern

Valparaiso, IN

$16.75 - $21.75/hr

Collect data on energy usage, lighting, HVAC systems, insulation, and appliances * Analyze utility ... Currently pursuing or recently completed a degree in Engineering, Environmental Science, Energy ...

Ivy Tech

Energy Audit Intern

Valparaiso, IN · On-site

$16.75 - $21.75/hr

Collect data on energy usage, lighting, HVAC systems, insulation, and appliances * Analyze utility ... Currently pursuing or recently completed a degree in Engineering, Environmental Science, Energy ...

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

At MISO, our Analytics and Forensics team is redefining how data powers the energy markets. We ... Partnering with data scientists, engineers, and technology teams to integrate AI into real-time and ...

Varsity Tutors

High School Science Tutor

Fort Wayne, IN · Remote

$40/hr

... energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science courses, Regents examinations, and ...

Varsity Tutors

High School Science Tutor

Valparaiso, IN · Remote

$40/hr

... energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science courses, Regents examinations, and ...

Varsity Tutors

High School Science Tutor

Bloomington, IN · Remote

$40/hr

... energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science courses, Regents examinations, and ...

MISO

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

Collaborating with a multidisciplinary team of data scientists, data engineers, and software engineers to produce AI solutions, helping bring emerging technologies into a mission-critical energy ...

NiSource

Director Generation Planning

Merrillville, IN · On-site

Bachelor's Degree in Engineering, Economics, Statistics, Data Science, Finance or a related field ... Financially competent in the areas of general accounting, levelized cost of energy, net present ...

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Energy Data Science information

Is 40 too late for data science?

Energy Data Science is a field that values skills, experience, and continuous learning over age. Many professionals transition into data science later in their careers by acquiring relevant technical skills, certifications, and practical experience, making age less of a barrier. Success depends on your ability to adapt and build a strong portfolio of work, regardless of age.

What is the 80 20 rule in data science?

In energy data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of outcomes result from 20% of the causes. Data scientists often use this rule to focus on the most impactful variables or data segments to optimize analysis and decision-making.

What is energy data science?

Energy data science is a specialized field that involves analyzing large datasets related to energy production, consumption, and infrastructure to optimize efficiency and inform decision-making. Professionals in this field often use statistical methods, machine learning, and data visualization tools to identify patterns and improve energy systems. Strong skills in programming, data analysis, and domain knowledge of energy systems are essential for success in this role.

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

AspectEnergy Data ScientistEnergy Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Energy, Economics, or related field; strong analytical skills
Work EnvironmentData-driven projects, modeling, and algorithm development in tech or energy companiesData analysis, reporting, and market assessment in energy firms or utilities
Employer & Industry UsageTech companies, energy firms focusing on data modeling and predictive analyticsUtilities, energy consulting, and market analysis firms

Energy Data Scientists focus on developing models and algorithms to analyze energy data, while Energy Analysts interpret data to inform business decisions. Both roles require analytical skills, but Data Scientists emphasize programming and modeling, whereas Analysts focus on reporting and market insights.

What is the highest paid job in data science?

In data science, senior roles such as Lead Data Scientist, Machine Learning Engineer, or Data Science Director tend to have the highest salaries, often exceeding $150,000 annually depending on experience, industry, and location. Specialized skills in deep learning, AI, and cloud platforms can also command higher compensation.
What are popular job titles related to Energy Data Science jobs in Indiana? For Energy Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Energy Data Science jobs in Indiana look for? The top searched job categories for Energy Data Science jobs in Indiana are:
Energy Data Science jobs near you
Infographic showing various Energy Data Science job openings in Indiana as of June 2026, with employment types broken down into 10% Internship, 78% Full Time, and 12% Part Time. Highlights an 89% In-person, 6% Hybrid, and 5% Remote job distribution.
Postdoctoral Research Fellow Cohort - Integrated Assessment of Data Centers

Postdoctoral Research Fellow Cohort - Integrated Assessment of Data Centers

University of Notre Dame

Notre Dame, IN • On-site

$48K - $65K/yr

Full-time

Posted 17 days ago

University Of Notre Dame rating

7.3

Company rating: 7.3 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

309th of 537 rated colleges and universities

Job description

Description
The University of Notre Dame invites applications for a cohort of up to three outstanding Postdoctoral Research Fellows to join a dynamic, interdisciplinary team undertaking a spatially explicit, contextually informed, and justice-centered assessment of the strategies and resources - including power, water, land, health, and workforce infrastructure - needed to inform current decision-making about data centers in Indiana and the Midwest in the near term and design the data centers of the future. This will start with the development of a framework for capturing the multidimensional and complex potential impacts (both positive and negative) that are unique to each community in the region. This assessment will also assess the local, state, and national level policies and strategies that can drive the sustainability of the changing landscape of data center growth in the region by integrating their social, technical, economic, and environmental implications for communities in the region and for the region itself.
Notre Dame seeks to build a research cohort with diverse and complementary areas of expertise. In close collaboration with Notre Dame faculty and partners, the cohort will lead a series of research activities intended to create a strong foundation for long-term work. We particularly encourage applicants who can articulate how their unique combination of perspective, methods, and/or substantive focus will expand the collective capacity of the postdoctoral cohort and strengthen the project's ability to support resilient and equitable community responses to data center design and growth in the Midwest and beyond. Early activities will likely include, but are not limited to:
  • Use of large language models and AI techniques to support data collection, synthesis, analysis, and construction of a modeling platform for key resource current and potential future demands, including electricity, water, land, and physical infrastructure;
  • Data collection, analysis, and modeling for capturing social, economic, workforce, and health considerations, with particular emphasis on distributional effects, justice, and participatory methods;
  • Policy analysis at the local, state, and federal levels

Key Responsibilities:
  • Collaborate with faculty to design and carry out interdisciplinary research central to the envisioned integrated assessment of hyperscale data center development in the Midwest.
  • Develop analytical frameworks of evaluation for the environmental, technical, economic, social, and policy dimensions of data centers.
  • Develop accessible models and other decision-support tools that support holistic understanding of tradeoffs across sectors for future scenario planning.
  • Co-author and support high-impact, interdisciplinary research publications in leading sustainability and environmental science journals.
  • Engage in collaborative grant writing and proposal development to sustain and expand the cohort's research initiatives.

This search is conducted with leadership from Notre Dame's Just Transformations to Sustainability Initiative and Notre Dame Energy. The Just Transformations to Sustainability Initiative is Notre Dame's University-wide effort to build a sustainable future where people and nature flourish together. Notre Dame Energy is a research center that seeks to mobilize transformative energy research for the common good.
These are full-time positions available with an initial appointment of one-year, renewable for an additional year based on satisfactory performance and availability of funding.
Qualifications
Required Qualifcations:
  • Ph.D. (in hand by the starting date) in a relevant field, including, but not limited to, engineering, environmental science, hydrology, geography, economics, public policy, and data science. Applicants with an interdisciplinary degree are welcome.
  • Demonstrated ability to lead research in at least one critical domain of the larger research effort.
  • Strong analytical and methodological expertise, appropriate to the applicant's discipline, with a record of applying those methods to complex, real-world problems.
  • A strong publication record in a field directly relevant to the envisioned program.
  • Excellent communication skills and an ability to work collaboratively with researchers from a wide range of disciplines.

Application Instructions
Applications will be reviewed on a rolling basis starting on March 25, 2026, and will continue until the positions are filled.
Interested applicants should submit the following materials at their earliest convenience.
  1. A cover letter that describes in detail their research background and qualifications, the aspect(s) of the envisioned program they are best positioned to lead, and why their areas of expertise should be prioritized during the program's launch phase.
  2. A detailed curriculum vitae.
  3. A recent publication or dissertation chapter.
  4. Contact information for at least three references.

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