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Senior Data Science and Analytics Manager



25d ago

  • Job
    Senior Level
  • Data
  • £144.5K - £187K

AI generated summary

  • You must have a Ph.D., M.S., or Bachelor's in quantitative fields, 5+ years of relevant data analytics experience, and expertise in Tableau, Python, R, and SQL for this Senior Data Science and Analytics Manager role.
  • You will develop and execute marketing data science roadmap, enhance predictive models, manage Sales Intelligence, communicate insights, drive KPI measurement, and embody cultural principles at Samsara.


  • Ph.D., M.S., or Bachelor's in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
  • 5+ years of relevant marketing data science, data science or advanced analytics work experience
  • 3+ years of experience building and deploying predictive marketing models to inform go-to-market strategy (propensity models, time series forecasts, etc.)
  • Advanced knowledge of marketing measurement (attribution, marketing mix modeling, lift studies)
  • Expertise in Tableau and/or similar platforms; expertise in coding languages and tools like Python, R and SQL - hands on coding experience is needed for this role.
  • Exceptional problem-solving, critical thinking, and communication abilities
  • An ideal candidate also has:
  • Experience building a marketing data science function from scratch in partnership with an analytics and data engineering team
  • 2+ years of experience managing and building a team
  • Experience building out Marketing Mix Models
  • Familiarity with web analytics and tracking platforms


  • Contribute to the development of our core marketing data science roadmap as well as execute on bringing that roadmap to life
  • Work to uplevel our current predictive models to increase their accuracy and effectiveness for the business
  • Champion the development of our Sales Intelligence muscle and manage the development of predictive models that inform triggers, such as the next best action we should take and more
  • Communicate insights using data visualization and presentations to a range of stakeholders
  • Contribute to Marketing initiatives to offer ideas and facilitate the establishment and measurement of KPIs
  • 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


What kind of mindset is important for this role?

A curious mindset that is always hungry for data and willing to understand the why as well as the what is crucial for success in this role.

What is the main focus of this position?

The main focus of this role is to build predictive models to inform business strategy and support the development of a data science roadmap.

Is there room for career growth and advancement in this role?

Yes, our team is growing and there are opportunities for continuous learning and career progression for successful candidates.

What kind of experience and skills are required for this position?

We are looking for an experienced data science and analytics manager with a passion for data analysis, problem structuring, and model building. Knowledge of marketing strategies and applying data-driven insights is also important.

Pioneer of the Connected Operations Cloud

Founded Year

Mission & Purpose

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a system of record that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. Samsara operates in North America and Europe and serves tens of thousands of customers across a wide range of industries including transportation, wholesale and retail trade, construction, field services, logistics, utilities and energy, government, healthcare and education, manufacturing, and food and beverage. The company's mission is to increase the safety, efficiency, and sustainability of the operations that power the global economy.