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Permanent Data Scientist Energy Jobs (NOW HIRING)

Mondo

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration ... Permanent Compensation: $136,900 - $164,300 Benefits: Eligible for Health, Dental, Vision, 401K ...

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Data Scientist Duration: 12+ Months Location: Remote Rate: $75-$80/hr on W2 Key points: Developing ... Energy Initiative, including location and resource adequacy considerations Analyzing customer ...

Euroclear

NY · On-site

$120 - $180/hr

... energy and innovation. Data & AI Division is enabling Euroclear to be a data-driven, AI-powered and ... Please note that this is a permanent position and we do not offer freelance/contract arrangement ...

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 ...

Hut 8

Principal, Data Scientist

Miami, FL

... technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the ... Apply data science and analytical methods to develop reusable models, reports, dashboards, and ...

TecTammina

Data Scientist

Roseland, NJ

... Science or related field Position requires 3 to 5+ years in data anlaystical, Financial Services ... Permanent Share the Profiles to mdanish(at)1stitsolutions.com Contact: 703-349-1004 Keep the ...

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 ...

Hut 8

Principal, Data Scientist

Miami, FL · On-site

... technology, energy, and infrastructure. Hut 8 is on a mission to build and operate some of the ... Apply data science and analytical methods to develop reusable models, reports, dashboards, and ...

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Permanent Data Scientist Energy information

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$46K

$165K

$243.5K

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

As of Sep 4, 2026, the average yearly pay for permanent data scientist energy in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a permanent data scientist in the energy sector?

A Permanent Data Scientist in the energy sector is a full-time professional who uses data analysis, machine learning, and statistical modeling to solve problems related to energy production, distribution, and consumption. They work with large datasets from sources like smart meters, sensors, and market data to optimize energy usage, forecast demand, and improve operational efficiency. Their work helps energy companies make data-driven decisions to increase sustainability, reduce costs, and innovate in areas such as renewable energy and grid management.

What are the key skills and qualifications needed to thrive as a permanent data scientist in the energy sector?

To thrive as a Permanent Data Scientist in Energy, you need strong analytical skills, expertise in statistics and machine learning, and typically a degree in data science, engineering, or a related field. Proficiency with programming languages like Python or R, experience with big data tools (such as SQL, Hadoop, or Spark), and familiarity with energy industry data systems are essential. Outstanding problem-solving, communication, and teamwork skills help interpret complex data and collaborate with cross-functional teams. These competencies enable impactful data-driven decisions, leading to operational efficiencies and innovation in the evolving energy sector.

What are the main challenges faced by a permanent data scientist in the energy sector and how can candidates prepare for them?

As a Permanent Data Scientist in the energy sector, you'll often encounter challenges such as working with large, complex datasets from diverse sources like smart meters, sensors, and market data. The role requires staying current with evolving energy technologies and regulatory changes, which can impact data models and analytics. Additionally, you may need to communicate technical findings to non-technical stakeholders and collaborate closely with engineers, analysts, and policy experts. To prepare, candidates should focus on developing strong data wrangling and machine learning skills, industry knowledge, and effective communication abilities.

What is the difference between Permanent Data Scientist Energy vs Permanent Data Scientist Oil & Gas?

AspectPermanent Data Scientist EnergyPermanent Data Scientist Oil & Gas
CredentialsDegree in Data Science, Statistics, or related field; certifications like Certified Data ScientistSame as Energy, often with industry-specific certifications
Work EnvironmentRenewable energy companies, utilities, energy tech firmsOil & gas corporations, exploration, and production companies
Industry UsageFocus on sustainable energy solutions and grid optimizationFocus on exploration, extraction, and refining processes
Search & Comparison IntentHigh overlap in skills and certifications, different industry focusSimilar roles with industry-specific applications

Both roles require strong data science skills and industry-specific knowledge. The main difference lies in the industry focus: renewable energy versus oil & gas, influencing the projects and data applications involved.

What cities are hiring for Permanent Data Scientist Energy jobs?

Cities with the most Permanent 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 Permanent Data Scientist Energy jobs?

States with the most job openings for Permanent Data Scientist Energy jobs include:

Permanent Data Scientist Energy jobs near you

Data Scientist Manager - Fulltime/Permanent Job

MM International

Sunnyvale, CA • On-site

Full-time

Re-posted 29 days ago

Job description

Data Scientist Manager

Positions can sit in Sunnyvale, CA or Bentonville, AR, relo’s are welcome and there is a relocation package only for Bentonville relocate’s

Job Type: Fulltime/Permanent Job

Manager:
Position Summary...

What you'll do...

Manage a team of data science and machine learning engineers to develop and deploy traditional data science and Gen AI applications supporting the Walmart finance department. Build models that solves specific business outcome by training with massive amount of Walmart data utilizing open-source or in-house tools.

  • Grow a team of domain experts of NLP, LLM , Timeseries Forecasting and recommendation systems in respective business domains in retail ; e-commerce.
  • Drive execution of developing models and systems
  • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
  • Remain up to date on ongoing research and development activities in the team
  • Work with data scientists to design, architect, and build AI/ML/DL model and model systems.
  • Work with machine learning engineers to deploy, operate, and optimize scalable solutions

About the Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
What you'll bring:

  • Experience in NLP, LLM, Timeseries, Traditional ML techniques
  • Experience in data science and machine learningfor retail ; e-commerce
  • Experience in managing a mid-size internal team of data scientists and MLEs
  • Experience leading and completing cross-functional projects
  • Strong organizational skills including prioritizing, scheduling, time management, and meeting deadlines
  • Strong influencing and interpersonal skills
  • Detail and results-oriented with sense of urgency