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5 дней назад

R&D Data Scientist (Automotive)

Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
R&D Data Scientist (Automotive) (Python, vehicle telemetry, machine learning): Analysing vehicle telemetry, driving data, surveys, and unstructured sources to build interpretable features and driver profiles with an accent on behavioural modelling, statistical analysis, and applied research. Focus on validating clustering, dimensionality reduction, factor analysis, and supervised/unsupervised models against complex real-world data.

Location: Diegem, Belgium

Company

hirify.global Engineering provides R&D and engineering services that combine digital, software, data, and physical-world expertise across industries, including automotive.

What you will do

  • Analyse vehicle telemetry, driving data, and unstructured sources to identify driving patterns and behaviours.
  • Build interpretable features and multidimensional driver profiles using telemetry, surveys, customer personas, and behavioural indicators.
  • Review academic and technical literature and test applicable approaches through proof-of-concepts on complex datasets.
  • Compare and validate clustering, dimensionality reduction, factor analysis, and supervised and unsupervised modelling methods.
  • Assess robustness, reliability, and limitations while collaborating with engineers.
  • Communicate findings and recommendations to technical and non-technical stakeholders.

Requirements

  • At least 4 years of experience in data science or a related field.
  • Strong Python skills for analysis, modelling, and prototyping.
  • Solid foundations in statistics, machine learning, AI, feature engineering, dimensionality reduction, and model validation.
  • Ability to design experiments, critically assess technical material, and work with complex and ambiguous datasets.
  • Ability to interpret data in its physical and behavioural context and communicate assumptions, limitations, and conclusions.
  • Fluent English and the ability to work independently.

Culture & Benefits

  • Autonomy and goal setting in an empowering work environment.
  • FlexAbroad allows employees in 20+ countries to work abroad for up to 45 days within a 12-month period.
  • Free access to learning platforms and curated programs from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google, and others.
  • Opportunities to contribute to engineering projects across the convergence of physical and digital technologies.

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