Data Scientist

Tata Consultancy Services; Detroit (MI); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive medical coverage

Parental leaves

Certification & training reimbursement

401K plan

Vacation and holidays

Job summary

Tata Consultancy Services in Detroit seeks a Data Scientist to translate business problems into ML solutions. You'll build predictive models, perform data preprocessing, and ensure data quality while collaborating with partners.

The role requires MS, strong Python data science skills (pandas, scikit-learn, MLflow), SQL experience, and familiarity with GenAI. Competitive salary and benefits offered.

Qualifications

• Hands-on experience in model building with gradient boosting (XGBoost/LightGBM).
• Proficient in Python data science stack (pandas, scikit-learn, MLflow).
• Experience with SQL and data visualization.
• Strong statistical analysis and feature engineering for predictive modeling.
• Excellent communication and ability to translate business problems into ML framing.
• Good understanding of GenAI applications.

Responsibilities

• Understand domain and data analytics requirements.
• Perform data preprocessing including data transformation and cleaning.
• Conduct data mining and collection procedures.
• Ensure data quality and integrity.
• Interpret and analyze data problems.
• Conceive, plan and prioritize data projects.
• Build analytic systems and predictive models.
• Increase performance and accuracy of ML algorithms through fine-tuning.
• Visualize data and create reports.
• Experiment with new models and techniques.
• Conduct EDA and Explainability.
• Align data projects with organizational goals.

Skills

Machine learning

Data analysis

A/B testing

Feature engineering

Model evaluation

Communication with partners

GenAI knowledge

Domain understanding

Education

Master of Science

Tools

SQL

Pandas

scikit-learn

MLflow

Python

Job description

• Good understanding of machine learning including with extensive hands‑on experience in model building (gradient boosting (XGBoost/LightGBM),
• Knowledge of data management and visualization techniques
• Expertise in statistical analysis, feature engineering, A/B testing techniques and predictive modeling
• Good knowledge of Python Datascience stack: pandas, scikit-learn, MLflow (or similar), model evaluation rigor
• Experience with SQL
• Excellent communication skills and ability to work with partners: translating business problems into ML framing
• Good understanding of GenAI
• Understand domain and data analytics requirements
• Perform data preprocessing that involves data transformation as well as data cleaning.
• Conduct data mining and collection procedures
• Ensure data quality and integrity
• Interpret and analyze data problems
• Conceive, plan and prioritize data projects
• Build analytic systems and predictive models
• Increase the performance and accuracy of machine learning algorithms through fine‑tuning and further
• Visualize data and create reports
• Experiment with new models and techniques
• Conduct EDA and Explainability
• Align data projects with organizational goals

Job Description

Data Scientist

Must Have Technical/Functional Skills

• Good understanding of machine learning including with extensive hands‑on experience in model building (gradient boosting (XGBoost/LightGBM),

GLMs, time series, NLP etc.

• Knowledge of data management and visualization techniques
• Ability to do data analysis using Python
• Expertise in statistical analysis, feature engineering, A/B testing techniques and predictive modeling
• Good knowledge of Python Datascience stack: pandas, scikit-learn, MLflow (or similar), model evaluation rigor
• Experience with SQL
• Excellent communication skills and ability to work with partners: translating business problems into ML framing
• Good understanding of GenAI

Roles & Responsibilities

• Understand domain and data analytics requirements
• Perform data preprocessing that involves data transformation as well as data cleaning.
• Conduct data mining and collection procedures
• Ensure data quality and integrity
• Interpret and analyze data problems
• Conceive, plan and prioritize data projects
• Build analytic systems and predictive models
• Increase the performance and accuracy of machine learning algorithms through fine‑tuning and further
• Visualize data and create reports
• Experiment with new models and techniques
• Conduct EDA and Explainability
• Align data projects with organizational goals

Education: MS

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.

Salary Range: $120000 - $150000 a year

Qualifications: MASTER OF SCIENCE