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, and Equipment Monitoring. 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.
About the role:
Samsara Technologies India Private Limited is seeking a Data Scientist to advance our data-driven efforts in sales, marketing, and customer success. As part of the Data Science and AI team in Revenue Operations, this role focuses on designing and delivering predictive models, refining AI-based scripts to validate, augment, and test the accuracy of business critical data, and establishing the quality measurement, lineage, and input pipelines of that data. You’ll collaborate closely with stakeholders in BizTech, Marketing, Sales, and Operations to unlock insights, automate processes, and enhance the operational efficiency of the sales organization.
This hybrid position requires 2 days per week in our Bangalore office and 3 days working remotely. This position requires working hours in IST. Relocation assistance will not be provided for this role.
Who We Are
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, a platform that enables organizations in physical operations to harness IoT and AI to improve efficiency, safety, and sustainability. Our customers span essential industries like transportation, manufacturing, field services, agriculture, and construction.
As part of Samsara’s Revenue Operations AI & Data Science team, you’ll be helping to define how AI transforms our sales, marketing, and customer success functions. Your work will power intelligent decisions at scale, enhancing operational efficiency and unlocking actionable insights from complex data.
What You’ll Do
- Estimate revenue opportunity models and conduct impact analysis as part of the annual strategic planning cycle to guide GTM and investment decisions.
- Leverage LLMs and other AI tools to systematically validate account-level data, enabling dynamic quality measurement scores and continuous trust in business-critical data.
- Generate predictive models and triangulate from multiple inputs—CRMs, web data, third-party signals—to drive data accuracy and establish reliable sources of truth.
- Establish scalable data pipelines from internal systems to generate and sustain baseline data programs supporting cross-functional initiatives.
- Contribute to the development of predictive analytics tools, such as sales performance dashboards, pipeline forecasting models, and KPI frameworks, to enhance operational efficiency.
- Collaborate cross-functionally with Sales, Marketing Ops, BizTech, and Enablement teams to automate insights, enrich GTM execution, and accelerate business outcomes.
- 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 Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- 4 - 7 years of experience in data science, AI engineering, or advanced analytics roles.
- Proficiency in Python, SQL, and tools such as Tableau for building analytics and dashboards.
- Experience developing and deploying ML models to support sales/revenue strategies.
- Hands-on experience with CRMs and sales/marketing data pipelines.
- Exposure to LLM-based tools and GenAI for data enrichment or automation tasks.
- Strong analytical, communication, and project management skills.
Preferred Qualifications
- Familiarity with MLOps tools (Docker, Kubernetes), model versioning, and deployment workflows.
- Experience with AI observability, monitoring, and guardrail implementation for responsible AI.
- Exposure to ETL/data engineering processes and modern cloud platforms (AWS preferred).
- Strong business acumen and curiosity to understand operational processes in physical industries, strong attention to detail.
- Experience analyzing B2B marketing channels, account-level data accuracy, and lifecycle optimization.
- Entrepreneurial mindset, able to work from 0 → 1 and iterate rapidly in ambiguous environments.
#LI-hybrid
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Flexible Working
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.
Accommodations
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.
Our Commitment to Authenticity
We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.
Fraudulent Employment Offers
Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.