Tata Consultancy Services
Data Scientist – Tata Consultancy Services
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Must Have Technical/Functional Skills Strong Python and Machine Learning Skillset
Responsibilities
Architect and drive the design, development, and deployment of scalable ML/AI solutions.
Lead data science teams through complete project lifecycles – from ideation to production.
Define standards, best practices, and governance for AI/ML solutioning and model management.
Collaborate with data engineering, MLOps, product, and business teams.
Oversee integration of data science models into production systems.
Evaluate and recommend ML tools, frameworks, and cloud-native solutions.
Guide feature engineering, data strategy, and feature store design.
Promote innovation with generative AI, reinforcement learning, and graph-based learning.
Knowledge of Spark, PySpark, Scala.
Experience leading CoEs or data science accelerators.
Open‑source contributions or published research.
Qualifications BACHELOR OF COMPUTER SCIENCE
Benefits
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Compensation Salary Range: $100,000-$130,000 a year
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting
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Must Have Technical/Functional Skills Strong Python and Machine Learning Skillset
Responsibilities
Architect and drive the design, development, and deployment of scalable ML/AI solutions.
Lead data science teams through complete project lifecycles – from ideation to production.
Define standards, best practices, and governance for AI/ML solutioning and model management.
Collaborate with data engineering, MLOps, product, and business teams.
Oversee integration of data science models into production systems.
Evaluate and recommend ML tools, frameworks, and cloud-native solutions.
Guide feature engineering, data strategy, and feature store design.
Promote innovation with generative AI, reinforcement learning, and graph-based learning.
Knowledge of Spark, PySpark, Scala.
Experience leading CoEs or data science accelerators.
Open‑source contributions or published research.
Qualifications BACHELOR OF COMPUTER SCIENCE
Benefits
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Compensation Salary Range: $100,000-$130,000 a year
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr