Senior Data Scientist

In this role, you will: 

• Translate data questions into self service tools like dashboards or one-off artifacts. Ensure data is communicated clearly and accurately across those surfaces. 
• Set the standard for visualization across the data team, including guidelines, norms, and requirements.
• Leverage tools like SQL, Python, and/or R to shape and analyze the data required for deliverables.  
• Make informed decisions about data visualization tool selection (e.g., Tableau, Superset, etc.). Leverage those tools to build dashboard/viz tools.
• Build analytic/statistical models as needed for project goals.
• Build a strong sense of product and data acumen (e.g. customer experience, data logging)
• Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• PhD in a quantitative field (e.g., Statistics, Applied Math, Engineering, Computer Science, Physics, Biology, Psychology, Political Science, etc.), or Masters with equivalent experience
• 5+ years experience in a data visualization related role (data science, data analyst, business analytics, 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
• 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 crisp problem definitions
• Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge
• Strong communication skills (both verbal and written)
• Curious about our data, our product and excited to have an impact

An ideal candidate also has:

• PhD in Statistics or other quantitative field
• A strong track record of building data visualizations and tools
• A strong track record of cross functional partnership 
• Record of successful mentoring and development of team members
• Experience working with large datasets using distributed computing (e.g., Spark, Hive)