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Weekday Data Scientist Energy Jobs (NOW HIRING)

Arch

Data Scientist

San Francisco, CA · On-site

We're driving energy resilience, economic strength, and long-term prosperity by bringing AI ... Role Overview We're hiring a Data Scientist to help architect the intelligence layer of Arch . You ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Using our customers' data and advanced data science, we are building products that allow our ... energy, creativity, and confidence. Ingenuity, adaptation, and evolution are at the core for us at ...

UL Solutions

Data Scientist

Northbrook, IL · On-site

The Data Scientist is responsible for delivering data-driven insights and analytical solutions that ... As a member of our safety science community, you'll use your ideas, your energy and your ambition ...

Amivero

Data Scientist

Columbia, MD · On-site

... energy for solutioning, and your bias towards action to bring modernization to very important ... The Data Scientist is responsible for developing advanced analytics, machine learning, artificial ...

EVgo

Data Scientist

EVgo is one of the nation's largest public fast charging networks for electric vehicles, committed to sustainability and clean energy solutions. They are looking for a Data Scientist to identify and ...

Amivero

Data Scientist

Columbia, MD

... energy for solutioning, and your bias towards action to bring modernization to very important ... The Data Scientist is responsible for developing advanced analytics, machine learning, artificial ...

Amivero

Data Scientist

Columbia, MD

... energy for solutioning, and your bias towards action to bring modernization to very important ... The Data Scientist is responsible for developing advanced analytics, machine learning, artificial ...

Sunrise Systems, Inc.

Senior Data Scientist

San Ramon, CA · On-site

$100 - $105/hr

Title: Senior Data Scientist Job ID: 26-03023 Location: San Ramon, CA Duration: 12 months on W2 ... Utility/Energy industry experience * Foundry experience preferred * Experience working in Agile ...

STEMtech

Sr. Data Scientist

Atlanta, GA · On-site

His/her responsibility will be to define data science standards, uncover areas in which data ... Experience in industrial industry applications or process industries (chemicals, energy, petroleum ...

STEMtech

Sr. Data Scientist

Atlanta, GA · On-site

His/her responsibility will be to define data science standards, uncover areas in which data ... Experience in industrial industry applications or process industries (chemicals, energy, petroleum ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

As an Advance Data Scientist, you will join a high-performing, global team, and be responsible for ... aviation and energy transition. As a trusted partner, we provide actionable solutions and ...

Charter Global

Data Scientist

Atlanta, GA · Remote

Energy, Finance, Healthcare, Government, Retail, Fulfillment Logistics, Manufacturing and Telecom ... Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Oversees and performs end ...

Honeywell

Advanced Data Scientist

Atlanta, GA

As an Advance Data Scientist, you will join a high-performing, global team, and be responsible for ... aviation and energy transition. As a trusted partner, we provide actionable solutions and ...

New

Imran Yousuf

Data Scientist

San Francisco, CA

We are seeking a commercially-minded Data Scientist to join our team. In this role, you will have ... Grit and energy to thrive in an early-stage startup environment. While expertise in all the ...

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All JobsWeekday Data Scientist Energy Jobs

Weekday Data Scientist Energy information

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$37.5K

$122.7K

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

As of Jul 16, 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
Junior Data Scientist

Junior Data Scientist

Berkley Oil & Gas (a Berkley Company)

Houston, TX • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
Berkley Oil & Gas, a W. R. Berkley Company, is an insurance underwriting manager offering specialized property and casualty products and risk services to customers in the energy sector. The Junior Data Scientist will design and deliver analytical solutions that support underwriting and pricing, while collaborating with business stakeholders to ensure solutions are aligned with business goals.
Responsibilities:
• The Data Scientist designs, builds, and delivers analytical solutions that support underwriting, pricing, and operational decision-making.
• Partner with business stakeholders to define analytical needs and prototype solutions
• Evaluate the business value of internal and third-party data sources using standardized assessment criteria.
• Build foundational understanding of relevant insurance and energy domain concepts.
• Conduct Exploratory Data Analysis to assess data quality, structure, coverage, and predictive potential.
• Build and refine data pipelines using SQL and Python.
• Develop entity-matching methods, including geospatial and temporal techniques.
• Engineer and maintain features that support analytical and predictive modeling.
• Build and evaluate predictive models, comparing performance against benchmarks.
• Quantify expected business value, costs, and ROI for proposed solutions.
• Design repeatable workflows for modeling, experimentation, and evaluation.
• Collaborate with engineering teams to integrate analytical models into production systems.
• Implement monitoring to ensure data and model quality over time.
• Identify opportunities for iteration and performance improvement based on results and business feedback.
• Work with cross-functional teams to clarify requirements and acceptance criteria.
• Prepare analytical datasets, dashboards, and reports that support decision-making.
• Communicate insights clearly to technical and non-technical stakeholders.
• Conduct quality assurance checks on datasets, metrics, and models.
• Maintain documentation for data sources, features, models, and workflows.
• Automate repetitive or manual tasks using scripting and AI tooling.
Qualifications:
Required:
• 2–5 years of experience in data science or a related analytical field, including exposure to model deployment and monitoring.
• Strong sense of ownership, urgency, and self-motivation;
• Excellent written and verbal communication skills; able to convey complex concepts clearly.
• Effective collaborator with experience in cross-functional, team-oriented environments.
• Prior quantitative research experience through academic work, personal projects, or previous roles.
• Proficiency in Python (pandas, NumPy, scikit ‑ learn ) and SQL; solid understanding of databases and data modeling.
• Experience conducting exploratory data analysis, including profiling, handling missing data, and outlier detection.
• Feature engineering experience, including geospatial, temporal, and derived features.
• Familiarity with version control (e.g., GitHub) and cloud analytics platforms (e.g., Databricks).
• Understanding of Agile or SDLC practices.
• Master’s degree in data science, analytics, statistics, computer science, engineering, or related field.
Preferred:
• Familiarity with Oil & Gas or Property & Casualty insurance concepts is a plus
Company:
Berkley Oil & Gas, a Berkley Company, is an energy insurance provider that is committed to providing innovative insurance products and services to upstream oil and gas customers. Founded in 1967, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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