Data Scientist

Tata Consultancy Services; Minneapolis (MN); On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Medical Coverage

Parental Leaves

401K Plan

Certification & Training Reimbursement

Job summary

Tata Consultancy Services is seeking a Data Scientist to drive business transformation through Advanced Analytics, AI, and ML. Build predictive models, identify optimization opportunities, and translate business challenges into data-driven solutions.

Apply rigorous analysis to deliver measurable outcomes across the enterprise. The role requires collaboration with business, operations, and technology teams to define analytical requirements and develop reusable assets that improve operational

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, CS, Engineering, Economics, or related field.
• 3+ years of experience in Data Science, ML, AI, or Advanced Analytics.
• Strong foundation in statistics and predictive modeling.
• Experience with large-scale datasets and analytical languages.

Responsibilities

• Analyze structured and unstructured datasets to identify trends and insights.
• Develop and deploy predictive, classification, clustering, and optimization models.
• Apply ML, statistics, and AI techniques to solve business problems.
• Identify patterns in complex datasets and support experimentation and model validation.
• Present analytical findings to stakeholders and translate results into actions.

Skills

Python

SQL

R

Statistics

Machine Learning

Data Visualization

Communication

Education

Bachelor's degree in a quantitative field

Tools

Scikit-learn

TensorFlow

PyTorch

XGBoost

Job description

Job Description

Position Summary

We are seeking an analytical and innovative Data Scientist to help drive business transformation through Advanced Analytics, Artificial Intelligence (AI), and Machine Learning (ML). This role focuses on discovering actionable insights from complex datasets, developing predictive models, identifying optimization opportunities, and supporting data-driven decision making across the enterprise. The ideal candidate applies analytical thinking and translates business challenges into data-driven solutions that deliver measurable outcomes. The successful candidate will leverage statistical analysis, machine learning, predictive modeling, and AI techniques to identify patterns, optimize processes, and enable smarter business decisions.

Key Responsibilities

• Analyze structured and unstructured datasets to identify trends, opportunities, and business insights.
• Develop and deploy predictive, classification, clustering, and optimization models.
• Apply machine learning, statistical analysis, and AI techniques to solve business problems.
• Identify hidden patterns and relationships within complex datasets.
• Support experimentation, hypothesis testing, and model validation activities.
• Partner with business, operations, and technology teams to define analytical requirements and solutions.
• Translate business challenges into data science use cases and analytical frameworks.
• Generate insights and recommendations that improve operational performance and business outcomes.
• Develop reusable analytical assets, models, and reporting frameworks.
• Utilize AI/ML techniques including predictive analytics, anomaly detection, recommendation systems, NLP, and generative AI where appropriate.
• Monitor and evaluate model performance and recommend enhancements.
• Present analytical findings and business insights to stakeholders.
• Contribute to data science best practices and continuous improvement initiatives.

Required Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline.
• 3+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
• Strong foundation in statistics, predictive modeling, and machine learning.
• Experience working with large-scale datasets.
• Proficiency in Python, SQL, R, or similar analytical languages.
• Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or equivalent.
• Knowledge of data visualization and analytical storytelling.
• Strong problem-solving and communication skills.

Salary Range: $110,000-$120,000 a year

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: 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.

Qualifications: BACHELOR OF COMPUTER SCIENCE