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Weekday Data Scientist Energy Jobs (NOW HIRING)

Bloom Energy

Sr. Staff Data Scientist

San Jose, CA · On-site

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more ... We are seeking a Sr. Staff Process Data Scientist to join our Data Science team, where you will ...

Sidram Technologies

Data Scientist

Juno Beach, FL · On-site

Position : Data Scientist Location : Onsite - 5 Days / Week - Juno Beach Florida JD:- Principal ... This role supports critical decision-making for Energy Management (EMT), Power Marketing (PMI), and ...

Bloom Energy

Sr. Staff Data Scientist

San Jose, CA

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more ... We are seeking a Sr. Staff Process Data Scientist to join our Data Science team, where you will ...

Recru

Data Scientist

Houston, TX

Role Overview We are seeking a Data Scientist to help build the next generation of industrial ... Experience in industrial systems, IIoT, energy, power generation, aerospace, or reliability ...

Sand Tech Holdings Limited

Data Scientist

Baltimore, MD · On-site

... are, water, energy, telecommunications and infrastructure. Our work delivers proven real-world ... As a key contributor, the Data Scientist will be responsible for using their advanced data analysis ...

Diamondback Energy

Operations Data Scientist

Midland, TX · On-site

The Operations Data Scientist transforms complex operational, production, and reliability data into ... Diamondback Energy is not currently sponsoring employment visas for this position. Diamondback is ...

Verse

Data Scientist

San Francisco, CA · On-site

$120K - $155K/yr

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving ... Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster ...

Azad, Inc

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission ... Energy/utility industry experience. Experience with Power BI (Microsoft Business Intelligence)

Verse

Data Scientist

San Francisco, CA

$120K - $155K/yr

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving ... Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster ...

Accurant International

Data Scientist

$120K - $150K/yr

Data Scientist Position Description We are hiring a Data Scientist to lead forecasting and ... Experience building optimization models and implementing them in energy / capacity markets

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission ... Energy/utility industry experience. Experience with Power BI (Microsoft Business Intelligence)

Verse

Data Scientist

San Francisco, CA · On-site

$120K - $155K/yr

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving ... Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster ...

Corning

Data Scientist

Corning, NY

Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions The Data Scientist role is an exciting opportunity to join Corning's Data Science & Insight ...

New

Talent Navigation Experts

Data Scientist

Denver, CO · Hybrid

They are seeking a Data Scientist to join the team full-time to work with other Data Science and ... sustainable energy resources like Solar, Wind, and Hydrogen power. This is an incredible ...

Talent Navigation Experts

Data Scientist

Denver, CO · On-site

They are seeking a Data Scientist to join the team full-time to work with other Data Science and ... sustainable energy resources like Solar, Wind, and Hydrogen power. This is an incredible ...

Corning

Data Scientist

Corning, NY

Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions The Data Scientist role is an exciting opportunity to join Corning's Data Science & Insight ...

New

NRG Energy

Sr Data Scientist

Houston, TX · On-site +1

Welcome to the intersection of energy and home services. At NRG, we're all about propelling the ... Senior Data Scientist - AI & Customer Operations Analytics Location: Houston, TX 4 days onsite ...

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All JobsWeekday Data Scientist Energy Jobs

Weekday Data Scientist Energy information

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$122.7K

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How much do weekday data scientist energy jobs pay per year?

As of Jul 15, 2026, the average yearly pay for weekday data scientist energy in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekday Data Scientist in the energy sector, and why are they important?

To thrive as a Weekday Data Scientist in the energy sector, you need a strong background in statistics, data analysis, and programming (often with Python or R), generally supported by a degree in data science, engineering, or a related field. Familiarity with machine learning frameworks, big data tools (such as Hadoop or Spark), and energy-specific data platforms is typically required. Excellent problem-solving abilities, communication skills, and business acumen help you translate complex data into actionable insights for stakeholders. These skills are crucial for optimizing energy operations, making data-driven decisions, and driving innovation in a rapidly evolving industry.

What does a Weekday Data Scientist in the energy sector do?

A Weekday Data Scientist in the energy sector analyzes energy data to help organizations make informed decisions about energy production, consumption, and efficiency. They typically work regular weekday hours, focusing on tasks such as building predictive models, optimizing energy usage, and identifying trends in large datasets. Their work supports utilities, renewable energy companies, and other stakeholders in reducing costs, improving sustainability, and meeting regulatory requirements.

What are some common challenges a Data Scientist faces when working in the energy sector during weekdays?

Data Scientists in the energy sector often work with large, complex datasets from sources like smart meters, sensors, and market data. One common challenge is ensuring data quality and consistency, as energy data can be incomplete or contain anomalies. Additionally, weekday roles frequently involve tight deadlines to deliver insights that support operational decisions and regulatory reporting. Collaboration with engineers and analysts is essential to understand technical constraints and align modeling efforts with business goals. Staying updated on evolving energy policies and integrating new technologies can also be demanding but presents opportunities for impactful, innovative work.
What cities are hiring for Weekday Data Scientist Energy jobs? Cities with the most Weekday Data Scientist Energy job openings:
What are the most commonly searched types of Data Scientist Energy jobs? The most popular types of Data Scientist Energy jobs are:
What states have the most Weekday Data Scientist Energy jobs? States with the most job openings for Weekday Data Scientist Energy jobs include:
Weekday Data Scientist Energy jobs near you
Data Scientist

Data Scientist

Avani Technology Solutions, Inc.

San Francisco, CA • On-site

Full-time

Posted 18 days ago

Job description

Role: Data Scientist
Location: San Francisco, CA
Duration: 6+ Months
Team Overview:
The Digital Catalyst Team is a new enterprise team that is responsible for working collaboratively with the lines of business to implement consumer grade mobile and analytical solutions across various user groups (e.g., field users, office workers, etc.). This includes, but is not limited to:
  • Deploying best-in-class / rapid delivery capability for mobile solutions.
  • Simplifying, improving, and standardizing business work management processes for mobile needs.
  • Delivering high value analytics across all Lines of Businesses.
  • Rapid delivery of web applications.

Digital Catalyst consists of a staff of highly skilled professionals working together to produce mobile solutions following an agile methodology and design thinking. We are a "start-up" department within IT and building driven and creative mobile development team. We take the time to understand our partners' needs and translate those into solutions that delight our users. Our goal is to deliver products with intuitive user experience that will improve employees' and customer's safety, productivity and overall well-being.
Position Summary:
We are seeking an experienced Data Scientist in the Digital Catalyst Team who will provide strong execution and delivery of data science. Working as a part of the product team, this Data Scientist will translate business needs into advanced analytics and machine learning models. The successful candidate will be responsible for model selection and identification of appropriate training data sets; building, training, and evaluating models; and delivering results to the business on a regular cadence. This role is part of a fully Agile Scrum team, so the data scientist will work alongside a product owner, technical lead, and team of developers and data engineers to support delivery of high-value analytics and software products.
Position Responsibilities:
  • Leads development of high complexity models and training sets
  • Provides hands-on execution and implementation of data science models
  • Translates business analysis needs into well-defined data science problems, and selecting appropriate models and algorithms and communicates model evaluation and implications of results back to stakeholders
  • Recognizes and prioritizes the most important work related to data science models to achieve highest operational impact for analytics in the business
  • Balances tradeoffs among analytics value, model development methods and design and technologies used to implement data science models with a bias toward action
  • Performs collaborative work on data science problems and mentor junior data scientists
  • Creates shared process models, business objects, activity diagrams and process documentation to effectively articulate multiple views of the business solutions that support technical architecture.
  • Manages development of quantitative models and tools.
  • Collaborates with leaders, other LOBs, and business partners to work on issues, projects or activities.
  • Develops new or revises complex models to predict business demand trends, and volume and expenditures forecasts capacity analysis, and various other metrics to identify potential opportunities.
  • Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.
  • Partners with leaders to drive high performance in their lines of business.
  • Develop deep understanding of business drivers and financial levers to provide strategic decision support.
  • Oversees resolution of complex projects and programs.
  • Develops and maintains up-to-date detailed project schedules and work plans.
  • Performs analysis on complex data models requiring customized reports and data and presents recommendations.

Minimum Education/Skills:
  • Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
  • Job-related experience, 8 years, OR Master's Degree and job-related experience, 6 years, OR Doctorate Degree and job-related experience, 3 years
  • Experience in data modeling, 5yrs

Desired Education / Skills:
  • PhD in engineering or a related field (computer science, natural sciences, mathematics)
  • Experience with Python, R, Scala, SQL
  • Experience developing solutions with Pandas/Scikit-learn, Spark or comparable technologies
  • Experience data science notebooks (Jupyter, Zeppelin or other)
  • Experience with AWS, Azure, cloud computing technologies
  • Scrum team experience
  • Energy industry experience
  • Experience designing efficient data science workflows and database architecture for data science purposes
  • Experience with forecasting, Bayesian networks, and graph analytics
  • Strong statistics experience
  • Experience with software development methodologies and software engineering principles
  • Knowledge of program management theories, concepts, methods, best practices, and techniques as needed to perform at the job level
  • Knowledge of relevant programming languages - for example Visual Basic, Ladder Logic,
  • Programmable Logic Controller, C, SharePoint, HTML, Java, Adobe - as needed to perform at the job level
  • Competency in knowing the most effective and efficient processes to get things done, with a focus on continuous improvement
  • Knowledge of principles, techniques, and procedures used for production and design of technology based equipment and systems as needed to perform at the job level
  • Knowledge of statistical theories, concepts, methods, best practices, and analyses as needed to perform at the job level
  • Ability to develop reports, models, and simulations as needed to perform at the job level
  • Competency in developing and delivering multi-mode communications that convey a clear
  • understanding of the unique needs of different audiences
  • Knowledge of data model design philosophies and methodologies for data warehouse and OLTP systems

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