Company Background:
Genuine Parts Company founded in 1928 and based in Atlanta, Georgia, is a leading specialty distributor engaged in the distribution of automotive and industrial replacement parts and value-added services. The Company operates a global portfolio of businesses with more than 10,000 locations across the world, employing 60,000 people.
The GPC Global Technology Center in Krakow, established in 2022 by Genuine Parts Company is an innovative research and development facility supporting GPC’s digital transformation efforts.
The hub is focused on the development of advanced technologies and solutions that support GPC's operations and growth.
The GPC Global Technology Center team works on a wide range of projects assisting in areas such as e-commerce and data platforms, supply chain solutions, selling systems, and cyber security. This is home to a team of highly skilled IT engineers who are dedicated to driving innovation and delivering cutting-edge solutions for GPC.
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.
You will work on a small agile team that is distributed across Krakow, PL, and Atlanta, GA. Our environment is fast-paced with a focus on experimentation and learning. There is tremendous opportunity for growth, and you will have an important voice in the direction of our Products.
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:
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Develop machine learning models that drive actionable insights to support business decisions.
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Build and deploy artificial intelligence applications that enable automation and optimization across various business domains like Search, Recommendations, and Discovery
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Develop generative AI applications leveraging a neural network such as LLM
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Collaborate with cross-functional teams to identify opportunities for data-driven decision-making and drive the adoption of machine learning and artificial intelligence across the organization.
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Utilize AI cloud technologies such as Google Cloud Platform and Azure Cloud for AI-powered business applications
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Work with large and complex datasets to extract meaningful insights that drive business value.
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Communicate findings and recommendations to stakeholders at all levels of the organization.
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Stay up-to-date with the latest trends and techniques in machine learning, artificial intelligence, and cloud technologies and evaluate their potential application to our business.
Requirements:
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Master's or PhD in Computer Science, Mathematics, Statistics, or a related field.
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5+ years of experience in machine learning and artificial intelligence.
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Strong programming skills in Python (or R).
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Proficient with SQL
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Experience building and deploying machine learning models in a production environment.
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Experience with cloud technologies such as Google Cloud Platform and Azure Cloud.
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Strong understanding of statistical modeling techniques and data analysis methods.
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Excellent communication skills and ability to collaborate effectively with cross-functional teams.
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Ability to work independently and manage multiple projects simultaneously.
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Experience with Agile methodology is a plus.
Location:
Krakow/Hybrid
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GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.
