DNACRL_Genuine Parts - Data Science Engineer - TL Mexico

Infosys; Ciudad de México; Híbrido; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading automotive parts distributor is seeking a Staff Data Scientist to lead data science initiatives and collaborate with a talented team. This role involves building AI-driven products and enhancing business processes with a strong programming focus. The ideal candidate will have extensive experience in software engineering and data science, preferably with expertise in Python and machine learning frameworks. The position offers flexible hybrid work in Mexico City.

Formación

• 8+ years’ experience in software engineering and data science.
• Strong hands-on programming skills in Python.
• Experience designing and developing LLM, deep learning, and machine learning models.

Responsabilidades

• Lead data science initiatives to enhance business profitability.
• Collaborate with data scientists and engineers on AI-driven products.
• Communicate architecture to stakeholders and maintain IT standards.

Conocimientos

Software engineering

Data Science

Deep Learning

Machine Learning

Python

SQL

Data Visualization

Analytical Thinking

Educación

MS/PhD in relevant fields

Herramientas

Google BigQuery

AWS

Azure

Descripción del empleo

Job Description

Company Background:
Genuine Parts Company (“GPC” or the “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. GPC has approximately 50,000 global employees. The Company has operations in the United States, Canada, Mexico, Australia, New Zealand, Indonesia, Singapore, France, the U.K., Germany, Poland, the Netherlands, Belgium, Spain and China.


Position Purpose:
Seeking world-class talent to join the world’s leading distributor of automotive and industrial replacement parts and value-added services operating 5,500+ locations and servicing more than 20,000 locations in the U.S and Canada. Specifically, this role will function as the Staff Data Scientist of a newly formed team of AI/ML Engineers to build the next models and analytics. Working with a highly talented team, you'll play a key role to build and run one of the world’s largest automotive and industrial replacement parts operations.

This is an engineering leadership role with responsibility of leading data science initiatives that drive business profitability, increased efficiencies, and improved customer experience.

This individual must be a technologist & data Scientist at heart and be comfortable in enabling new technology and being hands on with the execution of the strategy. She/he must exhibit a deep understanding of modern technology stack and agile delivery models, demonstrated focus on customer experience, and must have a proven track record of modernizing technologies.

Close collaboration and alignment with business teams, application development teams and security 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. Ability to attract, retain, and develop engineering talent will be critical.


Responsibilities:

• As a Staff Data Scientist, 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, Discovery (Search & Recommendations) 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

Location:

• GPC has two work locations to choose from, Duluth or Atlanta office.
• We offer a flexible hybrid Work Policy.

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 LLM, 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).

EEO/About Us

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Country

Mexico

State / Region / Province

Mexico

Work Location

Mexico City

Interest Group

Infy Mexico

Domain

Retail ,CPG and logistics

Skillset

Technology|Artificial Intelligence|Artificial Intelligence - ALL

Company

Infosys Mexico

Role Designation

835ATECHLD Technology Lead