Strategy)

Sandisk•Milpitas, CA

5h•Onsite

About The Position

Our Data & AI organization empowers business digital transformation by providing infrastructure, platform and data science support. We partner with SG&A (Selling, General & Administrative) functions—including Finance, HR, Procurement, Legal, and other business support areas—to deliver advanced analytics, automation, and AI-powered solutions. We offer internship opportunities for PhD students to work on impactful analytics projects that enable smarter decision-making and drive operational excellence.

Requirements

Currently pursuing a PhD (graduating 2027) in Computer Science, Industrial Engineering, Data Analytics, Applied Mathematics, Economics or related field.
Strong background in one or more of the following:
Machine learning / deep learning / AI model development
Operations research, simulation, or optimization algorithms
Computer vision or image analytics
Predictive modeling or anomaly detection
Big data analytics and distributed computing (Spark, Hadoop, or cloud platforms)
Proficiency with programming and analytics tools such as Python, Pytorch.
Demonstrated ability to translate research concepts into practical, scalable solutions.
Collaborative mindset, curiosity, and eagerness to learn from multidisciplinary teams.

Nice To Haves

Excellent analytical, problem-solving, and communication skills.

Responsibilities

Partner with stakeholders across Finance, Sales Operations, Marketing, HR, and General Operations to understand business questions and decision needs within SG&A functions
Analyze large, complex datasets to identify patterns, drivers, and risks impacting cost, revenue, efficiency, and resource allocation
Develop and evaluate predictive models (e.g., forecasting, classification, regression) to support planning, prioritization, and operational decisions
Build scenario, what‑if, and sensitivity analyses to help business teams understand trade‑offs under uncertainty
Apply optimization or decision modeling techniques to recommend actions such as budget allocation, capacity planning, or spend optimization
Translate ambiguous business problems into structured analytical frameworks, clearly documenting assumptions and limitations
Communicate insights and recommendations through clear visualizations, summaries, and presentations tailored to non‑technical audiences
Validate model outputs using appropriate metrics and ensure results are interpretable, explainable, and decision‑ready
Collaborate with data engineering, analytics, and business partners to ensure data quality, consistency, and proper usage
Support the deployment or handoff of analytical solutions, including documentation and stakeholder walkthroughs
Continuously iterate on models and analyses based on feedback, new data, and evolving business requirements

Benefits

paid vacation time
paid sick leave
medical/dental/vision insurance
life, accident and disability insurance
tax-advantaged flexible spending and health savings accounts
employee assistance program
other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity
tuition reimbursement
transit
the Applause Program
employee stock purchase plan
the Sandisk Savings 401(k) Plan