Senior Data Scientist

Job Title: Senior Data ScientistLocation: Columbus, INEmployment Type: Fulltime/PermResponsibilities: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 interpretfindings to inform business decisions.• Code Quality and Maintainability: Develop and maintain highquality, maintainable code using object-orientedprogramming 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 othersdepending on the requirement of the customer.• Communication and Collaboration: Collaborate with crossfunctional 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 actionablesolutions.• 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.