The Senior Data Scientist will be a senior technical contributor to the team with deep expertise in analyzing large volumes of complex data, building models to help answer pressing business questions or address customer needs, and communicating their findings to both technical and non-technical audiences. The Senior Data Scientist will work closely with technical and business leadership across Samsara, translate customer problems into concrete quantitative analysis, and iterate on the output with stakeholders.

Examples of day-to-day responsibilities:

• Leveraging SQL or Python to shape and structure large, complex data sets for analysis
• Building statistical and machine learning models to identify patterns, anomalies, and root causes (e.g., analyzing sensor temperatures to spot unhealthy devices)
• Meeting with technical and non-technical stakeholders to understand data structures and determine business priorities
• Working with product and full-stack engineering teams to build data-powered features in our cloud dashboard
• Creating data visualizations and other summary output to support decision-making from operational and leadership teams

Requirements:

• BA / MS / PhD or equivalent coursework in engineering or quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Economics, etc.)
• Experience with data manipulation and processing, preferably in SQL or Python on very large datasets (e.g., using PySpark)
• Experience building statistical / machine learning models, preferably in Python (e.g., using Tensorflow, etc.)
• Familiarity managing data science code via GitHub or other code versioning tool
• Knowledge of software engineering fundamentals; high level of comfort reading and understanding full-stack / backend development code (e.g., our Go code base)
• Experience with data visualization using Python libraries or BI tools (e.g., Tableau)
• 4+ years experience as a data scientist, data engineer, or related role
• Preferred: Experience deploying and optimizing machine learning models for very large datasets (1B+ rows)