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Senior Data Scientist

  • Wymiar czasu: pełny
  • lokalizacja: Kraków
  • Data ważności oferty: 10.03.2024
Shell Business Operations Kraków

Reference ID R116706
Research and Development
Poland
Krakow (City)
N/A

This role is designed to support Shell Fleet Solutions Business. Fleet Solutions in a nutshell is the Fleet Card Business. Shell Fleet Solutions is a global leader in business mobility (B2B segment), enabling business customers to decarbonize and providing them with integrated Shell and partner offerings. Using Fleet Card, Fleet Solutions customers perform transactions related to fuel, electricity, and other service purchases daily. The card is accepted not only by the Shell stations but also by the numerous points of sales of our partners. On top of that, customers use Shell web resources (such as Shell Fleet Hub) to manage their cards and propositions. And all this behavioral data is there for the Data Science team to unlock its value.

We are looking for a passionate, self-motivated individual with previous experience in a similar position (Data Scientist/ML Engineer/Python Developer). The individual who welcomes challenges and can adapt quickly, always balancing the quality of your work with the timeliness of delivery, and is eager to learn the business side of analytical solutions. Individuals who can support and guide other members of the team.

Responsibilities:

  • Developing advanced Data science solutions for problem statements in the area of Mobility and Fleet Solutions.
  • Designing and implementing modeling pipelines.
  • Aiding continuous integration and development by leveraging cloud services (Azure, Databricks).
  • Setting up and demonstrating world-class standards and best practices in project execution and quality of delivery.
  • Communicating requirements, challenges, and solutions to other teams and stakeholders.
  • Lead projects, coach other team members, build relations with the stakeholders and contribute to the overall projects pipeline creation for Shell Fleet Solutions business.

Requirements:

  • Advanced Python programming and object-oriented software design.
  • Knowledge of classical ML techniques (e.g. Classification algorithms, Clustering, Feature Reduction/engineering, Anomaly detection, Optimization models, Time Series Analysis/Forecasting), model evaluation, and the underlying mathematics.
  • Knowledge of statistical methodology (e.g. Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, PCA, Factor Analysis).
  • Experience using cloud services (Azure, Databricks preferred).
  • Data storytelling.
  • Project management and stakeholder engagement.
  • Git.

Nice to have:

  • Git repository to present your work.
  • Experience with PySpark
  • Ability to read and design UML documentation.

If you don’t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that women and underrepresented groups often only apply when they feel 100% qualified. We are committed to creating a more equitable, inclusive, and diverse company and we strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientations, and life experiences to apply!

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