Limitless potential.
Engineering Manager - Data Science
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Location Krakow (City), Poland
- Category Technology
- Job ID R25_0000007009
- Date posted 03/17/2025
- Brand Genuine Parts Company
- Status Full time
- Job Type Hybrid
Company Background
Established in 1928, Genuine Parts Company is a leading global service provider of automotive and industrial replacement parts and value-added solutions. Our Automotive Parts Group operates across the U.S., Canada, Mexico, Australasia, France, the U.K., Ireland, Germany, Poland, the Netherlands, Belgium, Spain and Portugal, while our Industrial Parts Group serves customers in the U.S., Canada, Mexico and Australasia. We keep the world moving with a vast network of over 10,700 locations spanning 17 countries supported by more than 63,000 teammates. Learn more at genpt.com.
Position Purpose
The ideal candidate will have a unique blend of leadership, technical expertise, and a passion for new technology. This person will be working closely with other Engineers, Product and Data Scientists to develop and deploy AI products built in Google Cloud Platform for Catalog Team.
She/He must exhibit a deep understanding of modern technology stack and agile delivery models, demonstrate the focus on customer experience, and must have a proven record of accomplishment of modern software development and delivering strategic solutions.
Close collaboration and alignment with a wide variety of both internal stakeholders and external vendors will be required. As such, exceptional abilities in building and maintaining strong working relationships and organizational savvy will be required. High-level communication and presentation skills are required. The ability to attract, retain, and develop engineering talent will be critical.
Responsibilities
You’ll work on the GPC's Data Science team collaborating with data scientists, AI/ML engineers and product managers to build and augment our AI-driven digital Catalog products. Through your understanding of deep learning, machine learning, linear algebra, probability theory, statistics, and optimization you’ll leverage Python, 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.
Reviews 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.
Understand and follow Agile principles, best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation.
Initiate both group and one-on-one meetings with senior management in order to gain a clear understanding of business drivers and functional requirements
Directs the identification and recommendation of appropriate solutions, upgrades, replacements, or decommissioning options incorporating business and technology productivity, usability, and total cost of ownership.
Communicates the architecture to the stakeholders and collaborates and coordinates with existing domain architects in the formalization and adoption of IT standards and procedures
Provides oversight on delivery to ensure industry best practices, standards, automation, quality, timeliness, operational readiness, continuous improvement and cost-effective solutions.
Provide technical leadership and guidance to lead engineers and the technical team within a domain.
Desired Qualifications & Experiences
8+ years’ experience in software engineering, Data Science & technology
MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields
Experience designing and developing deep learning, machine learning, optimization, and statistical models.
Strong hands-on programming skills in Python. Knowledge of SQL, Spark/equivalent.
Expertise running queries against data (preferably with Google BigQuery or SQL)
Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, Search or NLP
Demonstrated mastery in predictive modeling, data mining and data analysis.
Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems.
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.
Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. Background in handling supply chain data will be preferable but not mandatory.
Experience in designing and running A/B Tests and analyze the Key Metrics
Experience with cloud computing on at-least one of major providers (Google Cloud Platform, AWS or Azure).
Location
Krakow/Hybrid
Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.comor create an account to set up email alerts as new job postings become available that meet your interest!
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.
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Benefits We offer comprehensive benefit plans and programs designed to support your health and wellness, provide income protection and build financial security for your retirement. -
Career Areas New opportunities await you at Genuine Parts Company. Discover a career where you and your talents can truly thrive. Learn more about available opportunities.
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Culture Our teammates are at the heart of everything we do. We are united by a shared commitment to our purpose: We Keep the World Moving.
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About GPC We are a global service organization engaged in the distribution of automotive and industrial replacement parts. Our vast global supply chain includes more than 10,700 locations across 17 countries.
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Military GPC has a legacy of supporting veterans, reservists and transitioning military to help them have impactful civilian careers.
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Students and Graduates We have many exciting opportunities with our GPC and NAPA teams for undergraduate and graduate students to gain first-hand experience working in the corporate world.
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Global Technology Center Located in Krakow, Poland, the GPC Global Technology Center (GTC) is the research and development hub for GPC’s digital transformation efforts.
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Technology As GPC grows around the world, our teams are developing advanced technologies and solutions that enhance our capabilities and improve the customer experience.
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NAPA We are America’s largest network of automotive parts and care, with nearly 6,000 auto parts stores, more than 16,000 auto care and collision centers and approximately 800,000 available parts.
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Motion As a leading industrial distributor, we offer access to more than 19 million parts and supplies to help MRO (maintenance, repair and operations) and OEM (original equipment manufacturer) customers.
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