Job Description
The Senior Data Scientist at Samsara will analyze and translate complex data into strategic insights to support operational and leadership decision-making, develop predictive models, and collaborate with cross-functional teams to improve physical operations across various industries.
Key Responsibilities
- Translate data into strategic insights through reports, dashboards, and presentations to support decision-making.
- Build analytical models to identify patterns, anomalies, and root causes in data.
- Design and execute A/B tests and experiments to evaluate AI solutions.
- Collaborate with technical and non-technical stakeholders to understand data structures and business priorities.
- Leverage SQL, Python, and R to shape, analyze, and manipulate data.
- Develop and scale statistical and analytical models, including automating pipelines.
- Communicate trends and insights effectively through data visualizations.
- Maintain awareness of industry and academic research to adopt relevant new technologies.
Requirements
- Advance degree in Statistics or other quantitative field e.g., Applied Math, Engineering, Computer Science, Physics, etc.
- 8 years experience in a data-related role relevant data science, data analyst, business analytics, or business intelligence
- Proficiency in data manipulation and processing in SQL, Python, and/or R
- Experience building statistical and other analytical models, preferably in Python or R
- Ability to communicate trends and learnings via data visualizations including Tableau
- Ability to effectively share project statuses and take ownership of tasks while handling competing priorities
- Ability to distill informal or ambiguous customer and business requirements into clear problem definitions
- Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge
- Curious about our data, our product, and excited to have an impact
- Ability to scale models into automated pipelines
- Record of successful mentoring and development of team members
- Experience working with large datasets using distributed computing e.g., Spark, Hive
Benefits & Perks
Competitive total compensation package
Employee-led remote and flexible working
Health benefits
Flexible working model including remote, hybrid, and in-office options
Ready to Apply?
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