Data Modeling Expert

hace 5 días


Madrid, Madrid, España Geotab A tiempo completo

**About Us**

Geotab is a global leader in IoT and connected transportation, certified as a Great Place to Work. We are a diverse and talented team working together to help businesses grow and succeed while increasing the safety and sustainability of our communities.

We advance security by connecting commercial vehicles to the internet and provide web-based analytics to help customers better manage their fleets. Our open platform and Geotab Marketplace, offering hundreds of third-party solution options, enable both small and large businesses to automate operations by integrating vehicle data with other data assets.

With billions of data points processed daily, we leverage data analytics and machine learning to improve productivity, optimize fleets through reduced fuel consumption, enhance driver safety, and achieve strong compliance with regulatory changes.

Our fast-paced environment presents challenges that our team members, known as Geotabbers, eagerly accept and tackle new tasks and activities – ones not always described in the initial job description.

At Geotab, you'll have opportunities to innovate, enjoy great benefits, and experience our fun and inclusive work culture. Reach your full potential with us

**Job Description**

We're seeking a Senior Data Scientist to design and implement data modeling processes, focusing on geospatial applications.

This role involves exploring data from multiple sources to construct new data modeling processes using prototypes, algorithms, predictive models, and custom analyses. The successful candidate will utilize strong problem-solving skills and statistical analysis to align data products with Geotab's organizational goals.

Key responsibilities include:

  • Implementing new statistical or mathematical methodologies for specific models of data analysis
  • Researching the feasibility of potential predictive maintenance opportunities
  • Providing expert project leadership as a SME: guiding team members and participating in cross-departmental projects to establish Geotab as a leader in data science
  • Creating algorithms and predictive models to extract information required to solve complex business problems
  • Conducting causality experiments by applying A/B experiments or epidemiological approaches to identify root issues of observed results

**Requirements and Qualifications**

To be successful in this role, you should possess:

  • Expert-level knowledge of data modeling, machine learning, and geospatial analysis
  • Strong problem-solving skills with excellent analytical and statistical abilities
  • Experience with Big Data infrastructure, including data warehousing databases (e.g., Google BigQuery)
  • Excellent communication and project management skills

**Salary Information**

The estimated annual salary for this position is $140,000-$160,000, based on location and industry standards. Note that this figure is an estimate and may vary based on individual factors.



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