StaffAttract
  • Login
  • Create Account
  • Products
    • Private Ad Placement
    • Reports Management
    • Publisher Monetization
    • Search Jobs
  • About Us
  • Contact Us
  • Unsubscribe

Login

Forgot Password?

Create Account

Job title, industry, keywords, etc.
City, State or Postcode

Data Scientist

Tata Technologies - Chicago, IL

Apply Now

Job Description

Data ScientistChicago, ILJob Description:About the RoleWe are seeking an experienced Data Scientist to lead the design, development, and deployment of advanced analytics, AI, and GenAI solutions. This role requires strong technical leadership, deep expertise in statistical and machine learning methods, and the ability to architect scalable analytics systems that deliver measurable business value.Key Responsibilities:Lead end-to-end analytics solution design, ensuring scalable and production-ready implementation.Apply advanced statistical and machine learning techniques to develop models that solve complex business problems.Build and maintain cloud-based data pipelines and analytics workflows across modern data platforms.Develop and deploy AI and GenAI solutions including LLMs, RAG pipelines, and prompt-driven applications.Deliver production-grade digital analytics products using Python, Snowflake, Alteryx, and visualization tools.Collaborate with business and technical partners to translate insights into actionable recommendations.Provide technical leadership, mentorship, and guidance to data science and engineering teams.Required Qualifications:8+ years of experience in data science, machine learning, or AI engineering.Strong proficiency in Python, statistical modeling, and ML algorithms.Hands-on experience with cloud data engineering (AWS, Azure, Snowflake).Demonstrated expertise in GenAI, LLMs, RAG, and prompt engineering.Experience with interactive analytics visualization (Power BI, Alteryx).Proven ability to design and deploy production-grade analytics systems.Excellent communication and stakeholder-influencing skills.Preferred QualificationsMaster's or PhD in Data Science, Statistics, Computer Science, Engineering, or related field.Experience with MLOps, CI/CD pipelines, and model monitoring.Experience leading enterprise-scale analytics or AI initiatives.Familiarity with industrial, manufacturing, or IoT/telematics data environments.

Created: 2026-05-16

➤
Footer Logo
Privacy Policy | Terms & Conditions | Contact Us | About Us
Designed, Developed and Maintained by: NextGen TechEdge Solutions Pvt. Ltd.