Data Science Intern

What you'd do

• Contribute to a variety of data science, analytics, research, and engineering projects based on evolving product and business needs.
• Translate ambiguous questions into measurable objectives, testable hypotheses, experiments, and practical implementation plans.
• Collect, clean, join, validate, and explore data from connected products, applications, cloud platforms, and operational systems.
• Analyze structured, unstructured, time-series, telemetry, usage, and sensor data to identify patterns, anomalies, trends, and opportunities.
• Develop reusable scripts, data-processing workflows, simulations, and prototypes that move an idea from analysis toward a working technical solution.
• Design experiments to compare alternative approaches and quantify trade-offs involving data fidelity, accuracy, performance, cost, storage, bandwidth, latency, and maintainability.
• Explore efficient methods for collecting and processing high-volume or resource-intensive data, including sampling, aggregation, filtering, compression, feature extraction, or event-driven approaches.
• Apply appropriate statistical, signal-processing, analytical, or machine-learning methods while considering the constraints of the systems in which they may be used.
• Partner with product, software, engineering, operations, and business teams across multiple divisions to develop useful and achievable deliverables.
• Test, document, and communicate datasets, code, assumptions, experimental results, limitations, and recommendations so others can reproduce and extend the work.