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The AES Corporation · 19 hours ago

Junior Data Scientist

Indianapolis, IN

Full-time

Onsite

Entry Level

5+ years exp

AES Corporation is a Fortune 500 company leading the global energy revolution. The Junior Data Scientist will support AES’s US Utilities operations by applying data science techniques to improve grid reliability, customer experience, and operational efficiency, working alongside a team of experienced data professionals to deliver insights that drive smarter decisions.

Utilities

H1B Sponsor Likely

Responsibilities

Work cross-functionally within the team of data scientists, data architects & engineers, machine learning engineers, data analysts, and data governance experts to support integrated data solutions

Collaborate with business stakeholders and business analysts to define project requirements

Collect, clean, and preprocess structured and unstructured data from utility systems (e.g., meter data, customer data)

Perform exploratory data analysis to identify trends, anomalies, and opportunities for improvement in grid operations and customer service

Use both traditional machine learning methods and generative AI tools to create predictive models that solve utilities-focused problems, particularly in the customer space (e.g., outage restoration, customer program adoption, revenue assurance)

Present data-driven insights to internal stakeholders in a clear, concise manner, including visualizing data to provide predictive insights and drive decision making

Document methodologies, workflows, and results to ensure reproducibility and transparency

Be a champion of data and AI at all levels of the AES US Utilities organization

Stay current with industry trends in utility analytics and machine learning

Qualification

PythonMachine LearningData VisualizationSQLData AnalysisStatistical SkillsAnalytical ThinkingInterest in UtilitiesCommunication SkillsProblem-SolvingCollaboration

Required

Bachelor's degree in data science, statistics, computer science, engineering, or a related field

5 years of experience in a data science or analytics role

Strong applied analytics and statistics skills, such as distributions, statistical testing, regression, etc

Proficiency in Python or R, with experience using libraries such as pandas, NumPy, and scikit-learn

Proficiency in traditional machine learning algorithms and techniques, including k-nearest neighbors (k-NN), naive Bayes, support vector machines (SVM), convolutional neural networks (CNN), random forest, gradient-boosted trees, etc

Familiarity with generative AI tools and techniques, including large language models (LLMs) and Retrieval-Augmented Generation (RAG), with an understanding of how these can be applied to enhance contextual relevance and integrate enterprise data into intelligent workflows

Proficiency in SQL, with experience writing complex queries and working with relational data structures

Proficient in Git for version control, including repository management, branching, merging, and collaborating on code and notebooks in data science projects

Proficiency in data visualization tools (e.g., Power BI, Tableau, Looker)

Strong analytical thinking and problem-solving skills

Excellent communication and storytelling abilities

Experience with cloud computing platforms (GCP preferred)

Ability to manage multiple priorities in a fast-paced environment

Interest in learning more about the customer-facing side of the utility industry

Preferred

Master's degree or Ph.D

Google BigQuery experience, including the use of views, tables, materialized views, stored procedures, etc

Experience integrating Git with CI/CD pipelines to automate testing and deployment

Experience in the energy and/or utilities sectors

Understanding of utility-specific data sources (e.g., SCADA, CIS, GIS)

Familiarity with SAP (especially IS-U and ERP modules)

Exposure to data governance tools (e.g., enterprise data catalog and data quality tools)

Company

The AES Corporation

The world no longer thinks of energy as a matter of supply and demand. Now it’s a space for innovation and partnership.

Founded in 1981

Arlington, Virginia, US

5001-10000 employees

http://www.aes.com

H1B Sponsorship

The AES Corporation has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (9)

2024 (6)

2023 (8)

2022 (9)

2021 (7)

2020 (12)