Embrace
Embrace is the only observability platform purpose-built for mobile. Companies, including GOAT, Hilton, P&G, Owlet, and Home Depot, partner with Embrace to observe, proactively analyze, and access the unique datasets of phones, tablets, point-of-sale systems, IoT, cars, and other devices. Their entire teams, whether engineering, marketing, or business intelligence, use Embrace to create and optimize the experiences of their end-consumers and workforces.
51 - 200 employees
Data Science Internship
Job not on LinkedIn
November 20
🇺🇸 United States – Remote
💵 $23 - $27 / hour
👨🎓 Internship
⚪️ Entry-level
📊 Data Scientist
🦅 H1B Visa Sponsor
Embrace
Embrace is the only observability platform purpose-built for mobile. Companies, including GOAT, Hilton, P&G, Owlet, and Home Depot, partner with Embrace to observe, proactively analyze, and access the unique datasets of phones, tablets, point-of-sale systems, IoT, cars, and other devices. Their entire teams, whether engineering, marketing, or business intelligence, use Embrace to create and optimize the experiences of their end-consumers and workforces.
51 - 200 employees
📋 Description
• Explore, analyze, and visualize large datasets from mobile + web observability data and user session data • Develop statistical measures and applied models to identify meaningful classifications, trends, anomalies, or predictive signals in event data • Partner with Embrace staff (product + data science) to prioritize research projects and translate research insights into potential product features • Present findings to technical and non-technical audiences • Contribute to documentation, reproducible notebooks, and internal demos
🎯 Requirements
• Currently enrolled in a Master’s program in Data Science, Computer Science, or a related quantitative field • Proficient in Python and familiar with key data science frameworks • Foundational understanding of machine learning concepts (supervised, unsupervised, feature engineering, evaluation metrics) • Ability to query and manipulate large datasets using SQL or PySpark • Strong analytical and problem-solving skills with attention to detail • Excellent written and verbal communication skills • Curiosity and enthusiasm for working with large-scale, real-world data
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