Data Scientist

Tata Consultancy Services Limited

Minneapolis (MN)

On-site

USD 110,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Discretionary Annual Incentive
Medical Coverage: Medical & Health, D&
Dental & Vision
Parental Leaves
Auto & Home Insurance
Commuter Benefits
Certification & Training Reimbursement
Vacation & Holidays
401K Plan
Performance Bonus
College Fund
Student Loan Refinancing

Job summary

Tata Consultancy Services Limited is seeking a Data Scientist in Minneapolis, MN. The role focuses on advanced analytics, AI, and ML to drive business transformation and data-driven decisions across the enterprise.

You will build predictive models, analyze large datasets, and collaborate with business and technology teams to deliver measurable outcomes. Relevant experience and strong communication are required.

Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field.
  • 3+ years of experience in Data Science, ML, AI, or Advanced Analytics.
  • Strong foundation in statistics, predictive modeling, and ML.
  • Experience with large-scale datasets.
  • Proficiency in Python, SQL, R, or similar 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.

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 hidden patterns and relationships in complex data.
  • Support experimentation, hypothesis testing, and model validation.
  • Partner with business, operations, and tech teams to define analytical requirements.
  • Translate business challenges into data-science use cases.
  • Generate insights and recommendations to improve performance.
  • Develop reusable analytical assets, models, and reporting frameworks.
  • Utilize AI/ML techniques including NLP and generative AI where appropriate.
  • Monitor and evaluate model performance and suggest enhancements.
  • Present findings to stakeholders.
  • Contribute to data science best practices and continuous improvement initiatives.

Skills

Machine learning
Artificial intelligence

Education

Bachelor's degree

Tools

Scikit-learn
TensorFlow
PyTorch
XGBoost
SQL
Python

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.

Publication-ready job description Page 2

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.

#LI-SP1

Location

Minneapolis, MN

Function

TECHNOLOGY

Role

Data Scientist

ID

434311

Skills

Machine Learning | Artificial intelligence

Salary Range

$110,000 - $120,000

Desired Candidate Profile
Qualifications

BACHELOR OF COMPUTER SCIENCE

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