Senior Data Scientist

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. GPC's 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 GPC's digital transformation efforts. The center's team of highly skilled IT engineers focuses on developing advanced technologies and solutions that enhance GPC's 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.

About the GenAI Team

The GenAI (Generative AI) team is at the forefront of applying the latest advancements in artificial intelligence to optimize customer experience, streamline operations, and drive digital transformation within GPC. We leverage state-of-the-art AI techniques, such as natural language processing (NLP), and generative models, to create cutting-edge products and solutions.

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.

Key Responsibilities and Accountabilities

• Develop machine learning models that drive actionable insights to support business decisions.

• Build and deploy artificial intelligence applications that enable automation and optimization across various business domains like Search, Recommendations and Discovery

• Develop generative AI applications leveraging a neural network such as LLM

• 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.

• Utilize AI cloud technologies such as Google Cloud Platform and Azure Cloud for AI powered business applications

• Work with large and complex datasets to extract meaningful insights that drive business value.

• Communicate findings and recommendations to stakeholders at all levels of the organization.

• 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.

Qualifications:

• Master's or PhD in Computer Science, Mathematics, Statistics, or a related field.

• 5+ years of experience in machine learning and artificial intelligence.

• Strong programming skills in Python (or R).

• Proficient with SQL

• Experience building and deploying machine learning models in a production environment.

• Experience with cloud technologies such as Google Cloud Platform and Azure Cloud.

• Strong understanding of statistical modeling techniques and data analysis methods.

• Excellent communication skills and ability to collaborate effectively with cross-functional teams.

• Ability to work independently and manage multiple projects simultaneously.

• Experience with Agile methodology is a plus.

Location:

• GPC Global Technology Center in Krakow, Poland (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.