Data Scientist Intern

Location: Pleasanton, California, United States

Department: Engineering

About the Role:

As a Data Science Intern, you will be an essential contributor to our AI-driven initiatives. You’ll leverage your knowledge in statistics, machine learning, and programming to analyze large datasets and deliver insights that drive key business decisions. This role offers the opportunity to work alongside experienced professionals and collaborate across multiple teams, gaining valuable exposure to real-world AI applications in renewable energy, supply chain, and industrial operations. 

You will be working closely with team members who have deep technical skills and a passion for solving complex problems with data science and machine learning. 

You Will: 

• Analyze complex datasets to extract actionable insights for renewable energy, supply chain, and industrial applications 

• Develop and apply machine learning models to solve real business challenges 

• Apply data mining techniques, statistical analysis, and help build prediction systems 

• Assist in feature selection, data preprocessing, and model optimization 

• Collaborate with cross-functional teams to design data-driven solutions 

• Create automated anomaly detection systems and track performance metrics 

• Present findings and results to both technical and non-technical stakeholders 

• Contribute to product development by implementing algorithms in our platform 

You’ll Have: 

• Currently enrolled or recently graduated with a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Physics, Engineering, or a related field 

• Proficiency in programming languages such as Python or R 

• A solid understanding of machine learning techniques and algorithms (regression, classification, clustering) 

• Experience with data manipulation libraries (Pandas, NumPy) 

• Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly) 

• Strong problem-solving skills and a collaborative mindset 

• Excellent written and verbal communication skills 

• A can-do attitude and desire to make a difference 

Nice to Have: 

• Familiarity with Deep Learning frameworks such as TensorFlow or PyTorch 

• Experience with time series analysis and forecasting 

• Knowledge of industrial systems or IoT time series data 

• Interest in or exposure to AI agents and agentic workflows 

• Familiarity with RAG (Retrieval-Augmented Generation) concepts and LLM applications 

• Exposure to cloud platforms (AWS, GCP, Azure) 

• Experience with SQL or Graph databases 

• Portfolio of projects demonstrating data science skills (GitHub, Kaggle, etc.) 

• Ability to stay for an extended co-op or full-time opportunity after internship 

Coding Challenge:

As part of the interview process, you will be asked to complete a technical assessment.

Salary Range: $30-$35/hour