Job description

Must Have Technical/Functional Skills - • Python, SQL, statistical analysis, experimentation, and machine learning • Feature engineering, model selection, validation, and explainability • Experience with cloud data platforms, notebooks, pipelines, and model lifecycle practices • Ability to translate business problems into measurable analytical objectives • Data quality, privacy, bias, and responsible AI awareness • Retail, healthcare, pharmacy, customer analytics, or regulated data experience preferred Roles & Responsibilities - • Define the business problem, hypotheses, success metrics, and analytical approach. • Explore, prepare, and validate structured and unstructured data. • Develop, compare, and validate statistical, machine learning, or AI models. • Partner with engineering and platform teams to operationalize solutions. • Design experiments and communicate findings, limitations, and recommendations. • Monitor model performance, drift, quality, fairness, and business impact. • Document assumptions, lineage, methodology, and governance requirements. Generic Managerial Skills, If any • Strong analytical storytelling and stakeholder communication skills. • Collaborative, curious, outcome-oriented, and rigorous in handling data. TCS Employee Benefits Summary: • Discretionary Annual Incentive. • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. • Family Support: Maternal & Parental Leaves. • Insurance Options: Aut& 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. #LI-KR3 Salary Range-$110,000-$170,000 a year

Requirements

Must-haves

Must Have Technical/Functional Skills -
Python, SQL, statistical analysis, experimentation, and machine learning
Feature engineering, model selection, validation, and explainability
Experience with cloud data platforms, notebooks, pipelines, and model lifecycle practices
Ability to translate business problems into measurable analytical objectives
Data quality, privacy, bias, and responsible AI awareness
Roles & Responsibilities -
Define the business problem, hypotheses, success metrics, and analytical approach.
Explore, prepare, and validate structured and unstructured data.
Develop, compare, and validate statistical, machine learning, or AI models.
Partner with engineering and platform teams to operationalize solutions.
Design experiments and communicate findings, limitations, and recommendations.
Monitor model performance, drift, quality, fairness, and business impact.
Document assumptions, lineage, methodology, and governance requirements.
Generic Managerial Skills, If any
Strong analytical storytelling and stakeholder communication skills.
Collaborative, curious, outcome-oriented, and rigorous in handling data.
Discretionary Annual Incentive.
Family Support: Maternal & Parental Leaves.
Insurance Options: Aut& Home Insurance, Identity Theft Protection.
Time Off: Vacation, Time Off, Sick Leave & Holidays.

Nice-to-haves

Retail, healthcare, pharmacy, customer analytics, or regulated data experience preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsqlmachine learningai

Platform: careers-page
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave