Data Scientist

Tata Consultancy Services; Deerfield (IL); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Discretionary annual incentive

Medical coverage

Dental & Vision

Disability insurance

Pet insurance

Commuter benefits

Certification reimbursement

Training reimbursement

Vacation & holidays

401K plan

Performance bonus

College fund

Student loan refinancing

Job summary

Tata Consultancy Services Limited in Deerfield, IL seeks a data science professional to translate business problems into measurable analytical objectives. The role involves building and validating ML models, feature engineering, and collaborating with engineering to deploy solutions while upholding responsible AI practices.

Responsibilities include experiment design, monitoring model performance, and clear communication of findings to stakeholders.

Qualifications

• Proficiency in Python, SQL and ML workflows.
• Cloud data platforms, notebooks and pipelines experience.
• Translate business problems into measurable analytical objectives.
• Awareness of data quality, privacy, bias and responsible AI.
• Experience in Retail, Healthcare, Pharmacy analytics, or regulated data preferred.
• Business problem framing, hypotheses and success metrics.
• Data exploration, preparation and validation of structured/unstructured data.
• Develop, compare and validate statistical/ML/AI models.
• Collaborate with engineering 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.
• Managerial: storytelling and stakeholder communication.

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.

Skills

Python

SQL

Statistical analysis

Experimentation

Machine learning

Feature engineering

Model selection

Validation

Explainability

Cloud data platforms

Notebooks

Pipelines

Model lifecycle

Responsible AI

Retail analytics

Healthcare analytics

Pharmacy analytics

Regulated data

Business problem framing

Data wrangling

Model monitoring

Documentation

Job description

• 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
• 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.