Data Scientist

Job Description

Design and develop advanced data models, predictive models, and data visualizations to drive business decisions.

Responsibilities

• Design and develop advanced data models and algorithms using machine learning, deep learning, and statistical techniques to drive business decisions.
• Develop and deploy predictive models using machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch to forecast business outcomes.
• Analyze large datasets to identify trends, patterns, and correlations, and interpret findings to inform business decisions.
• Develop and maintain high‑quality, maintainable code using object‑oriented programming principles, ensuring scalability, efficiency, and reliability.
• Develop and maintain data visualizations and dashboards to communicate insights and findings to business stakeholders using tools such as Tableau, AWS QuickSight, Power BI, or D3.js.
• Collaborate with cross‑functional teams—including data engineering, data analytics, software developers, testers, cloud architects, and business stakeholders—to deliver complex data projects, ensuring alignment with business objectives and technical requirements.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related fields.
• 5+ years of experience in data science or related fields.
• Strong expertise in machine learning and deep learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Very good proficiency in SQL, Python, and PySpark for data science and machine learning.
• Strong foundation in probability, statistical analysis, and optimization techniques.
• Ability to work on complex business challenges and translate data insights into actionable solutions.
• Experience with cloud‑based data management (AWS, GCP, Azure).
• Strong understanding of data architecture, data modeling, and data governance.
• Experience in predictive maintenance, time‑series forecasting, and anomaly detection.
• Hands‑on knowledge of data visualization tools such as Tableau, Power BI, or D3.js.
• Strong communication and collaboration skills, with experience working in cross‑functional teams.
• Experience with Agile development methodologies and version control systems (e.g., Git).
• Good to have experience in the automotive domain.

Compensation and Benefits

Along with competitive pay, as a full‑time KPIT employee, you are eligible for the following benefits:

• Geo Blue PPO and HSA plan.
• MetLife – Dental and Vision plan.
• Healthcare and Dependent Care flexible spending account (FSA).
• 401k with employer match.
• Company‑paid Basic Life and Long‑term disability insurance.
• Voluntary benefits including Critical Illness, Hospital indemnity, accident insurance, theft, and legal service.
• Employee Assistance Program.
• Paid Holidays.
• Employee discounts and perks.
• Gym benefit.

Required Skills

• Data science, machine learning, deep learning, statistical techniques, predictive modeling, data analysis and interpretation.
• AWS / Azure / GCP.
• Agile.
• Python.

Supported Skills

Automotive domain.