EV Data Scientist

Enexus Global Inc.; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company in the IT Services and Consulting sector is seeking an EV Data Scientist to develop algorithms for analyzing energy consumption and predicting EV adoption. The role requires collaboration with stakeholders and effective communication of technical findings. Ideal candidates will have a Ph.D. and experience in data science and applied statistics.

Qualifications

• 2+ years experience with large-scale time series data feature extraction.
• Experience with spatio-temporal statistics and geospatial data analysis.

Responsibilities

• Designing and developing scientific algorithms in Python for energy consumption analysis.
• Validating algorithms based on business and technical needs.

Skills

Electric Vehicle

Education

Ph.D. in a highly quantitative discipline

Tools

Python

R

Job description

Title:

EV Data Scientist

Location:

Remote

Experience:

15+

Employment:

W2 / C2C

Skills:

Electric Vehicle

Job Description

The role involves designing and developing production-quality scientific algorithms in Python to analyze customer energy consumption and characteristics, developing spatio-temporal algorithms for EV adoption prediction, validating algorithms based on business and technical needs, performing root-cause analysis, and collaborating with domain experts and stakeholders to implement practical solutions. Effective communication of technical findings to various audiences is essential.

Basic Qualifications

• Ph.D. in a highly quantitative discipline such as Engineering, Computer Science, Physics, Econometrics, Mathematics, or Statistics.
• Knowledge of data science standards, model evaluation, optimization, and feature engineering.
• Experience with spatio-temporal statistics, geospatial data analysis, and time series machine learning techniques.
• 2+ years experience with large-scale time series data feature extraction.
• Proficiency in Python and/or R.
• Experience in developing scalable scientific code.
• Strong understanding of applied statistics and probability.

Desired Qualifications

• Experience with large datasets and cloud platforms (AWS, Azure, GCP).
• Ability to translate business needs into technical solutions and validation plans.
• Industry experience in utilities, EV infrastructure, or related fields.
• Excellent problem-solving and communication skills.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Engineering and IT
• Industries: IT Services, Consulting, Utilities