Senior Applied Scientist

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. 

Recent awards we’ve won include:

Great Place To Work Certified™ 2023

Best Place to Work by Built In 2023

Financial Times The Americas’ Fastest Growing Companies 2023

Deloitte Fast 500 Companies

IoT Analytics Company of the Year in 2022’s IoT Breakthrough Winners

We see a profound opportunity for data to improve the safety, efficiency, and sustainability of operations, and hope you consider joining us on this exciting journey. 

About the role:

The Samsara AI team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As a Senior I Applied Scientist you will bring rigor to strategic initiatives across the company. You will work closely with other scientists as well as full-stack, product, firmware, and platform teams to deliver models, insights, and data-driven strategies.

This role can be office-based or fully remote in the US and Canada.

You should apply if:

• You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
• You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
• You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.

Click here to learn about what we value at Samsara. 

In this role, you will: 

• Research how to measure and improve the Samsara product. 
• Work with petabyte-scale data from Samsara devices to develop new statistical models.
• Partner with teams to ensure instrumentation is high quality and usable for analytic use cases.
• Design and develop statistical models
• Translate data into strategic insights via. reports, visualizations, etc. 
• 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:

• Masters or PhD in Statistics or other quantitative field (e.g., Applied Math, Engineering, Computer Science, Physics, Biology, Psychology, Political Science, etc.)
• 4+ years experience in a science related role (Data Scientist, Applied Scientist, Statistician, Quant, etc.)
• Proficiency in working with data for statistical analyses. You must be able to pull your own data via SQL, Spark, or a similar data-querying la