Overview
Join to apply for the Data Science Engineer role at Infosys .
Position highlights : this is an engineering leadership role leading data science initiatives to drive business profitability, efficiencies, and customer experience. The role will function as Staff Data Scientist within a team of AI / ML engineers to build models and analytics and to run one of the world’s largest automotive and industrial replacement parts operations.
This individual must be a technologist and data scientist at heart, comfortable enabling new technology and hands-on with execution of strategy. Strong collaboration with business teams, application development, and security is required, along with exceptional communication, relationship-building, and talent development capabilities.
Responsibilities
- As a Staff Data Scientist, collaborate with data scientists, AI / ML engineers, and product managers to build and augment AI-driven digital Catalog, Discovery (Search & Recommendations) products. Leverage deep learning, machine learning, linear algebra, probability, statistics, and optimization using Python, Scala; perform data exploration, implement algorithms, deploy to production, and analyze performance and trade-offs.
- Review business context, define vision and requirements, propose options, and develop a roadmap for the chosen solution.
- Understand and apply Agile principles, software design best practices, participate in code reviews, and maintain a well-tested codebase with documentation.
- Initiate meetings with senior management to understand business drivers and functional requirements.
- Identify and recommend solutions, upgrades, replacements, or decommissioning options considering productivity, usability, and total cost of ownership.
- Communicate architecture to stakeholders and collaborate with domain architects to formalize IT standards and procedures.
- Provide oversight to ensure best practices, automation, quality, timeliness, operational readiness, and cost-effective solutions.
- Provide technical leadership to lead engineers and the technical team within a domain.
- GPC has two work locations to choose from, Duluth or Atlanta office. We offer a flexible hybrid Work Policy.
Qualifications
8+ years’ experience in software engineering, data science, and technology.MS / PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields.Experience designing and developing LLMs, deep learning, machine learning, optimization, and statistical models.Strong hands-on programming skills in Python; knowledge of SQL, Spark / equivalent.Experience running queries against data (Google BigQuery or SQL preferred).Expertise in prescriptive modeling such as optimization, computer vision, recommendation, search, or NLP.Demonstrated mastery in predictive modeling, data mining, and data analysis.Statistical techniques to identify key insights that solve business problems; strong analytical thinking and data visualization skills.Ability to clean, transform, and analyze large datasets for insights and process improvements; experience with supply chain data is a plus.Experience in designing and running A / B tests and analyzing metrics.Experience with cloud platforms (Google Cloud Platform, AWS, or Azure).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, leveraging an AI-powered core and agile digital at scale to deliver performance and customer delight. Our always-on learning culture drives continuous improvement through building and transferring digital skills 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, national origin, pregnancy or related conditions, status as a protected veteran or family member of a protected veteran, or disability.
Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
Information TechnologyIndustries
IT Services and IT ConsultingReferrals increase your chances of interviewing at Infosys by 2x
#J-18808-Ljbffr