Data Scientist

Responsibilities:

• Design and Develop Advanced Data Models: Design, develop, and deploy advanced data models and algorithms using machine learning, deep learning, and statistical techniques to drive business decisions.
• Predictive Modeling: Develop and deploy predictive models using machine learning frameworks like scikit-learn, TensorFlow, or PyTorch to forecast business outcomes.
• Data Analysis and Interpretation: Analyze large datasets to identify trends, patterns, and correlations, and interpret findings to inform business decisions.
• Code Quality and Maintainability: Develop and maintain high-quality, maintainable code using object-oriented programming principles, ensuring scalability, efficiency, and reliability.
• Data Visualization and Storytelling: Develop and maintain data visualizations and dashboards to communicate insights and findings to business stakeholders using tools like Tableau, AWS Quicksight, Power BI, or D3.js or others depending on the requirement of the customer.
• Communication and Collaboration: 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 & deep learning frameworks like scikit-learn, TensorFlow, or PyTorch.
• Very good proficiency in SQL,Python, Pyspark for data science and ML.
• Statistics & Math: Strong foundation in probability, statistical analysis, and optimization techniques.
• Problem-Solving: 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 maintanance, time series forecasting and anomaly detection.
• Hands-on knowledge of data visualization tools like 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 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 include Critical Illness, Hospital indemnity, accident insurance, theft, and legal service.
• Employee Assistance Program.
• Paid Holidays.
• Employee discounts and perks.
• Gym benefit.

Data Science,machine learning, deep learning,statistical techniques,Predictive Modeling,Data Analysis and Interpretation,AWS/AZURE/GCP,AGILE,PYTHON
AUTOMOTIVE DOMAIN