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Senior Data Scientist
  • Kraków County
Senior Data Scientist
Kraków, Kraków County, Lesser Poland Voivodeship, Polska
GPC Global Technology Center
25. 2. 2025
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Talent Acquisition Business Partner at GPC Global Technology Center

About GPC Global Technology Center

Established in 1928, Genuine Parts Company (GPC) is a leading global service organization specializing in the distribution of automotive and industrial replacement parts. GPCs commitment to innovation and technology is evident in the GPC Global Technology Center in Krakow, established in 2022. This center serves as a hub for research and development, supporting GPCs digital transformation efforts. The centers team of highly skilled IT engineers focuses on developing advanced technologies and solutions that enhance GPCs operations and growth. Their work spans across various areas, including e-commerce and data platforms, supply chain solutions, selling systems, and cyber security. Learn more at genpt.com.

Position Purpose

We are seeking an experienced Senior Data Scientist to join our team. The ideal candidate will have a strong background in machine learning, artificial intelligence, and cloud technologies. In this role, you will work closely with cross-functional teams to drive insights and recommendations to inform business decisions.

If you are passionate about leveraging data to drive business decisions and have a strong background in machine learning, artificial intelligence, and cloud technologies, we encourage you to apply for this exciting opportunity.

Responsibilities

  1. You’ll work on the GPCs Data Science team collaborating with data scientists, AI/ML engineers and product managers to build and augment our AI-driven digital products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you’ll leverage Python and Scala to perform data exploration and analysis, implement algorithmic solutions given specifications, push solutions to our production environment as well as analyze performance and trade-offs to determine the best solution.
  2. Review business context for solutions to company challenges as well as defining the vision and requirements for the solution, recommending potential options, selecting the most optimal option, and the development of a roadmap for the selected solution.
  3. Understand and follow Agile principles, best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation.
  4. Initiate both group and one-on-one meetings with senior management in order to gain a clear understanding of business drivers and functional requirements.

Requirements

  1. 4+ years’ experience in software engineering, Data Science & technology
  2. MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields
  3. Experience designing and developing deep learning, machine learning, optimization, and statistical models.
  4. Strong hands-on programming skills in Python. Knowledge of SQL, Spark/equivalent.
  5. Expertise running queries against data (preferably with Google BigQuery or SQL)
  6. Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, Search or NLP
  7. Demonstrated mastery in predictive modeling, data mining and data analysis.
  8. Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems.
  9. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required and a passion for solving interesting and relevant real-world problems using Data science approach.
  10. Experience in designing and running A/B Tests and analyze the Key Metrics
  11. Experience with cloud computing on at-least one of major providers (Google Cloud Platform, AWS or Azure).

Location

Krakow/Hybrid

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology and Engineering

Industries

Software Development and Retail

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