Data Science Research Intern

Reposted 5 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
36-50 Hourly
Internship
Fintech • Information Technology • Logistics
The Role
The intern will support data center supply chain projects, applying machine learning and optimization techniques to improve inventory management and part allocation.
Summary Generated by Built In

Location:

Santa Clara, California, United States

Job ID:

R0112340

Date Posted:

2025-11-13

Company Name:

HITACHI AMERICA, LTD.

Profession (Job Category):

Administration & Facilities

Job Schedule: 

Full time

Remote:

No

Job Description:

Data Science Research Intern – Data Center Supply Chain Analytics

Company: Hitachi America, Ltd.

Division: Research & Development (R&D) | Strategic Data Solution Lab (SDSL)

Location: Santa Clara, CA

Status: Intern

Duration: 4 months+ (December 2025 – March 2026 – eligible for extension)

About Hitachi, Ltd.

Through its Social Innovation Business (SIB) that brings together IT, OT (Operational Technology) and products, Hitachi contributes to a harmonized society where the environment, wellbeing, and economic growth are in balance. Hitachi operates globally in four sectors – Digital Systems & Services, Energy, Mobility, and Connective Industries – and the Strategic SIB Business Unit for new growth businesses. With Lumada at its core, Hitachi generates value from integrating data, technology and domain knowledge to solve customer and social challenges. Revenues for FY2024 (ended March 31, 2025) totaled 9,783.3 billion yen, with 618 consolidated subsidiaries and approximately 280,000 employees worldwide. Visit us at www.hitachi.com.

Summary

At Hitachi America R&D, we believe innovation drives sustainable progress. We are committed to applying advanced analytics, machine learning, and optimization to solve complex challenges across industries. Our research team plays a key role in shaping Hitachi’s future by exploring new ideas and delivering impactful solutions that help our customers make smarter, more resilient decisions.

As an intern working on our Data Center Supply Chain team, you will support ongoing projects in inventory management and dynamic part allocation. You will gain hands-on experience working with real-world data, applying machine learning and optimization techniques, and contributing to solutions that ensure data centers run efficiently and reliably.

This is a great opportunity to learn how cutting-edge AI and optimization are applied in a fast-growing industry, while working alongside researchers and engineers in a collaborative environment.

Key Responsibilities

  • Support the development of models for inventory tracking, forecasting, and part allocation in data center supply chains.

  • Perform data collection, cleaning, and exploratory data analysis (EDA) to extract insights from real world datasets.

  • Assist in building predictive models and optimization frameworks for demand, supply, and resource allocation.

  • Contribute to simulation and evaluation of different allocation strategies under realistic scenarios.

  • Document progress and share results with the team through presentations, reports, and visualizations.

  • Collaborate with researchers and engineers to learn how innovations move toward production-ready solutions.

Required Qualifications

  • Current PhD’s or Master’s student in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics, or a related field.

  • Strong programming skills in Python (e.g., Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).

  • Knowledge of machine learning basics (regression, classification, forecasting) and/or optimization methods.

  • Ability to work with data pipelines (structured/unstructured data).

  • Good analytical thinking, problem-solving, and communication skills.

Preferred Qualifications

  • Familiarity with supply chain or inventory management concepts.

  • Exposure to operations research techniques (linear programming, simulation, heuristics).

  • Experience with forecasting models (time series, probabilistic approaches).

  • Interest in reinforcement learning or multi-agent systems for decision-making.

  • Knowledge of data visualization tools (e.g., matplotlib, seaborn, Plotly).

What You’ll Gain

  • Hands-on experience applying AI/ML and optimization in data center supply chains.

  • Exposure to real-world projects and challenges in demand-supply alignment.

  • Mentorship from experienced researchers and engineers.

  • Opportunity to contribute ideas and see them tested in practical scenarios.

Our Values

We are proud to say we are an equal opportunity employer and welcome all applicants for employment without attention to any factor that doesn’t impact your ability to do the job, including race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.  We are proud of Japanese heritage, with our values expressed through the Hitachi Spirit:

  • Wa – Harmony, Trust, Respect

  • Makoto – Sincerity, Fairness, Honesty, Integrity

  • Kaitakusha-Seishin – Pioneering Spirit, Challenge  

For California only (as required by California’s Pay Transparency for Pay Equity Act (SB 1162): The expected hourly rate for this position in our California office is $36 - 50 per hour. Pay is determined based on a variety of factors including, but not limited to, depth of experience in the practice area. Employees are eligible to participate in Hitachi America’s variable pay program, subject to the program’s conditions and restrictions.

Equal Opportunity Employer (EOE)-Females/Minorities/Protected Veterans/Individuals with Disabilities

If you need a reasonable accommodation to apply for a job at Hitachi, please send the nature of request and contact information to [email protected]. Queries other than accommodation requests will not be responded to.

Top Skills

Matplotlib
Numpy
Pandas
Plotly
Python
PyTorch
Scikit-Learn
Seaborn
TensorFlow
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The Company
33,676 Employees

What We Do

Since its founding in 1910, Hitachi has responded to the expectations of society and its customers through technology and innovation. Our mission is to “Contribute to society through the development of superior, original technology and products.” Over the past 100+ years this commitment has led us to work towards creating a more sustainable society through our “Social Innovation Business”. We work to apply our expertise in information technology (IT), operational technology (OT), and a wide variety of products to advance social infrastructure systems and improve quality of life across the world.

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