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Data Science Renewable Energy 1St Shift Jobs (NOW HIRING)

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

And as Michigan's largest source of renewable energy, we're creating a cleaner, healthier ... Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

And as Michigan's largest source of renewable energy, we're creating a cleaner, healthier ... Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

And as Michigan's largest source of renewable energy, we're creating a cleaner, healthier ... Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ...

NextEra Energy

Sr Applied Scientist I

Saint Paul, MN

$92K - $126K/yr

Working at the intersection of renewable energy physics and data science, you'll develop sophisticated analytical models that design, forecast, optimize, and enhance our wind, solar, storage, and ...

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Data Science Renewable Energy 1St Shift information

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$41.5K

$142.5K

$201K

How much do data science renewable energy 1st shift jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data science renewable energy 1st shift in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist in Renewable Energy on 1st Shift, and why are they important?

To excel as a Data Scientist in Renewable Energy on 1st Shift, you need a strong background in data analytics, statistical modeling, and domain knowledge in renewable energy, often supported by a degree in data science, engineering, or a related field. Familiarity with programming languages (such as Python or R), machine learning frameworks, and energy management systems is typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset are crucial soft skills for this role. Mastery of these skills enables the extraction of actionable insights from complex energy data, driving innovation and operational efficiency in renewable energy projects.

What does a Data Science Renewable Energy 1st Shift professional do?

A Data Science Renewable Energy 1st Shift professional analyzes and interprets large datasets related to renewable energy systems, such as solar, wind, or hydroelectric power. Their work typically involves using statistical methods and machine learning to optimize energy production, forecast demand, and improve efficiency. Working the 1st shift means their hours are usually during the daytime, collaborating with engineers and project managers to support operational decisions. They help organizations make data-driven choices to maximize renewable energy output and sustainability.

How does a Data Scientist in Renewable Energy typically contribute to cross-functional teams during the first shift?

As a Data Scientist in Renewable Energy working the first shift, you will frequently collaborate with engineers, project managers, and analysts to analyze large datasets related to energy production, consumption, and forecasting. Your daily responsibilities may include developing predictive models, visualizing trends, and presenting actionable insights to support decision-making. Effective communication and teamwork are essential, as your analyses often inform operational strategies and ongoing projects. This collaborative environment enables you to learn from experts in various fields and expand your knowledge of both data science and renewable energy technologies.

What is the difference between Data Science Renewable Energy 1St Shift vs Data Analyst Renewable Energy 1St Shift?

AspectData Science Renewable Energy 1St ShiftData Analyst Renewable Energy 1St Shift
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; programming skillsBachelor's in Data Analysis, Statistics, or related; proficiency in data tools
Work EnvironmentData modeling, predictive analytics, machine learning tasksData collection, reporting, data visualization
Employer & Industry UsageTech-driven renewable energy companies, research firmsRenewable energy firms, utility companies, consulting

Data Science Renewable Energy 1St Shift focuses on advanced analytics, machine learning, and predictive modeling to optimize renewable energy systems. In contrast, Data Analyst Renewable Energy 1St Shift primarily handles data collection, reporting, and visualization to support decision-making. Both roles are vital in the renewable energy industry but differ in technical complexity and scope.

More about Data Science Renewable Energy 1St Shift jobs
What cities are hiring for Data Science Renewable Energy 1St Shift jobs? Cities with the most Data Science Renewable Energy 1St Shift job openings:
What are the most commonly searched types of Data Science Renewable Energy jobs? The most popular types of Data Science Renewable Energy jobs are:
What job categories do people searching Data Science Renewable Energy 1St Shift jobs look for? The top searched job categories for Data Science Renewable Energy 1St Shift jobs are:
Data Science Renewable Energy 1St Shift jobs near you
Infographic showing various Data Science Renewable Energy 1St Shift job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 79% Full Time, 11% Part Time, 1% Temporary, 5% Contract, and 2% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Associate or Manager, Data Science

DESRI Renewables LLC

Greenwood Village, CO • On-site

$150K - $175K/yr

Full-time

Medical, Retirement, PTO

Posted 28 days ago

Job description

About DESRI
DESRI (formerly D. E. Shaw Renewable Investments) is a market-leading owner and operator of renewable energy projects throughout the United States. We have acquired or developed approximately 13 gigawatts of contracted capacity across a portfolio of over 85 renewable energy projects in 24 states.
At DESRI, our culture is grounded in rigorous analytics and thoughtful risk-taking, with a strong emphasis on creativity, intellectual curiosity, and continuous improvement. We operate with lean teams that prioritize efficiency and minimize unnecessary bureaucracy, enabling individuals to take ownership and move quickly. We value open, constructive dialogue and believe it leads to better outcomes. Above all, we are driven to go the extra mile and support one another, fostering a collaborative environment built on accountability, integrity, and care.
About the role
DESRI is seeking a talented and highly motivated individual to join its team as an Associate or Manager, Data Science (title commensurate with experience). This individual will play a key role in the company's enterprise data science strategy and help drive data-informed decision-making across the organization.
This individual will partner closely with teams across the organization to build scalable analytics capabilities and deploy advanced modeling solutions that optimize DESRI's growing renewable energy portfolio. This leader will oversee data science initiatives spanning forecasting, operational analytics, predictive maintenance, portfolio optimization, market intelligence, and business performance reporting.
The ideal candidate combines strong technical expertise with strategic leadership skills and is excited about applying advanced analytics and machine learning to complex challenges in the renewable energy industry.
What you'll do
  • Lead DESRI's enterprise data science strategy and roadmap across operational and corporate functions
  • Partner cross-functionally to identify and prioritize high-impact analytics initiatives
  • Develop predictive and prescriptive models to improve asset performance, operational efficiency, forecasting accuracy, and portfolio optimization
  • Translate complex technical findings into actionable business insights for senior leadership and non-technical stakeholders
  • Evaluate emerging AI, machine learning, and advanced analytics technologies relevant to the renewable energy industry
  • Support the continued evolution of DESRI's data infrastructure, reporting environment, and business intelligence capabilities
  • Foster a culture of innovation, continuous improvement, and data-driven decision-making across the organization

Qualifications
  • Undergraduate or graduate degree in data science, statistics, computer science, engineering, mathematics, economics, or a related quantitative field required.
  • 3+ years of experience in data science, advanced analytics, machine learning, or quantitative modeling, including leadership experience managing teams and enterprise initiatives.
  • Strong expertise in statistical modeling, machine learning, predictive analytics, optimization techniques, and data visualization.
  • Advanced proficiency with Python, SQL, and modern analytics and machine learning frameworks.
  • Experience working with cloud-based data platforms and enterprise analytics environments.
  • Strong understanding of data engineering principles, ETL workflows, and large-scale data environments.
  • Demonstrated ability to lead cross-functional initiatives and influence senior stakeholders.
  • Experience in renewable energy, utilities, energy markets, infrastructure, or industrial operations is strongly preferred.
  • Familiarity with forecasting models, SCADA data, IoT systems, energy market analytics, or grid operations is preferred.
  • Excellent written and verbal communication skills, strong analytical acumen, and exceptional problem-solving capabilities.
  • Intellectually curious individuals with an entrepreneurial mindset, strong attention to detail, and a collaborative approach will excel in this role.
  • At DESRI, we consider a wide range of factors to determine your compensation. We rely on market indicators and consider your specific job family, background, location, skills, and experience. The expected annual base salary for this position is $150,000 to $175,000 (depending on title and experience).
  • Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, paid time off, wellness reimbursement, family building benefits, and a charitable gift match program.

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