Sr.Data Scientist I

Samsara · Bengaluru - BLR1senior

En corto

▸Científico de datos en operaciones comerciales, centrado en modelos predictivos y calidad de datos.
▸Día a día: construyes modelos, validas datos con IA, y colaboras con ventas y marketing.
▸Destacado: usas LLMs para validar datos críticos y mejorar la confianza en la información.

Proficiency in English is required.

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¿Qué piden?

✓Experiencia en modelado predictivo y análisis de datos.
✓Conocimiento en LLMs y herramientas de IA para validación de datos.
✓Habilidades en Python y SQL para manipulación y análisis de datos.
✓Experiencia con CRM (como Salesforce) y datos de ventas.
✓Capacidad para colaborar con equipos de ventas, marketing y operaciones.
✓Comprensión de pipelines de datos y calidad de datos.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonSQLLLMsSalesforceCRMData PipelinesPredictive ModelingDashboardingKPI FrameworksAI Tools

¿A quién escribirle en Samsara?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 wit

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