Energy Data Scientist

EcoMetric; Pune District; On-site; INR 1,500,000 - 2,800,000; Full time

Benefits offered by this job

Remote work

Performance bonus

Health Insurance allowance

Leaves and holidays

Job summary

EcoMetric is a USA based energy consulting firm seeking an Energy Data Scientist with 3-5 years of experience to analyze utility program data, develop predictive models, and generate actionable insights shaping energy policy and program design. You’ll work closely with senior consultants and clients on large datasets to derive meaningful findings.

Relocation will be required if you do not currently live in Pune; the role offers competitive compensation, remote work options, and opportunities to

Qualifications

• Bachelor's or master's degree in engineering, physics, applied mathematics, economics, statistics, environmental policy, or related field.
• 3-5 years of experience in data science, ideally within energy efficiency, utilities, or sustainability.
• Must pass a coding test in Python or R to clean an energy data set and build a regression model.
• Strong programming in Python, R, SQL or similar languages.
• Experience with regression, classification, and time-series modeling (RF, SVM, LR).
• Proficiency in Microsoft Excel; VBA knowledge is a plus.
• Ability to clean, manipulate, and analyze large datasets (500,000+ records).
• Strong written and verbal communication skills.
• Interest in energy policy, building science, or sustainability.

Responsibilities

• Clean, prepare, and integrate energy data from diverse sources for advanced analytics.
• Analyze large datasets to identify trends and causal impacts.
• Develop predictive and prescriptive models using machine learning and statistical techniques.
• Conduct econometric modeling and regression analysis to evaluate energy efficiency programs.
• Build and fit hourly regression models to baseline energy consumption data and calculate savings.
• Collaborate with internal teams and clients to ensure quality in research methods.
• Document findings through visualizations, memos, and client reports.
• Support senior staff in developing presentations and papers.

Skills

Python

R

SQL

Time-series modeling

Regression modeling

Data cleaning

Large datasets

Communication skills

Education

Bachelor's/Master's degree in STEM

Tools

SAS

Stata

Job description

EcoMetric is a USA based full service energy consulting firm focusing on energy efficiency, and distributed energy resources including demand response and renewables. We are seeking an Energy Data Scientist with 3-5 years of experience to join our growing team. This role is ideal for someone who thrives on solving complex problems, enjoys working with large datasets, and is passionate about energy efficiency and sustainability. You’ll work closely with senior consultants and clients to analyze utility program data, develop predictive models, and generate actionable insights that shape energy policy and program design.

EcoMetric is focused on constructive research to influence energy consumption & behaviors. We provide inspired, forward-thinking advisory services to inform demand-side management decision making. Our core services include energy efficiency design, planning and implementation solutions for utilities, businesses and industries. We offer competitive compensation packages and an opportunity to learn US and Canadian power industry standards in energy investments.

Relocation will be required if you do not currently live in Pune

Duties and Responsibilities

• Clean, prepare, and integrate energy data from diverse sources for advanced analytics.
• Analyze large datasets (e.g., energy consumption, financial, market research) to identify trends and causal impacts.
• Develop predictive and prescriptive models using machine learning and statistical techniques.
• Conduct econometric modeling and regression analysis to evaluate energy efficiency programs.
• Built and fit hourly regression models to baseline energy consumption data and calculate savings for the performance periods.
• Collaborate with internal teams and clients to ensure consistency and quality in research methods.
• Document findings through visualizations, memos, and client reports.
• Support senior staff in developing presentations, white papers, and technical documentation.
• Document findings visually and/or verbally for memos and reports to clients and/or internal project teams.
• Support senior staff with the development of presentations and papers.

Qualifications Required

• Bachelor's or master's degree in engineering, physics, applied mathematics, economics, statistics, environmental policy, or related field.
• 3-5 years of experience in data science, ideally within energy efficiency, utilities, or sustainability.
• Must be able to pass a coding test in Python, or R to write a code to clean an energy data set and build a regression model to fit the data.
• Strong programming skills in Python, R, SQL, or similar languages.
• Experience with regression, classification, and time-series modeling (e.g., RF, SVM, LR).
• Proficiency in Microsoft Excel; VBA knowledge is a plus.
• Demonstrated ability to clean, manipulate, and analyze large datasets (500,000+ records).
• Strong written and verbal communication skills.
• Interest in energy policy, building science, or sustainability.

Preferred

• Experience with energy efficiency program evaluation or DSM analytics.
• Familiarity with IoT data and API integration.
• Knowledge of TRMs, M&V protocols, or building energy modeling tools (e.g., EnergyPlus, OpenStudio).
• Experience with SAS, Stata, or other statistical packages. Bachelor's or master's Degree in physics, applied mathematics, economics, statistics, environmental policy, or related field.

What you will get in return

• Competitive salary based on the candidate’s qualifications.
• Earned Leaves (15 days), 13 holidays
• Emergency/Sick Leave
• Maternity/Paternity paid leave.
• Remote work
• Performance bonus.
• Health Insurance allowance
• Reimbursement for annual professional development training or certification.
• The opportunity to have a positive impact on our environment and grow as a professional in the sustainable energy efficiency industry.
• Seniority Level
• Associate
• Industry
• Oil and Gas
• Employment Type
• Full-time
• Job Functions