Chennai
Latest active Data Scientist jobs
Chennai
Chennai, the capital of Tamil Nadu, is a prominent hub for technology, automobile and manufacturing industries in India. The city boasts a thriving IT and software services sector, supported by a strong presence of global firms, startups and educational institutions. Chennai continues to drive innovation and business growth, solidifying its position as a key economic and technological center.
Chennai jobs
Data Scientist
Chennai
Latest active Data Scientist jobs
Udemy
Staff Data Scientist
Chennai
Hybrid
5+ years of relevant hands-on experience in product or business analytics roles.
Fidelity Investments
Vice President – Fraud Analytics and Operations
Chennai
Office
15+ years in data science, analytics, and risk management.10+ years in leadership roles.Experience in fraud loss forecasting models, fraud detection tools, and customer engagement analytics.
KLA
Data Scientist
Chennai
2+ years in Python and ML packages (numpy, keras, seaborn, scikit-learn).Experience solving problems with conversational AI in a production environment for a high-tech manufacturing industry.
Bank of America
Data Scientist I A - GBS IND
Chennai
Office
7 to 9 years in total3 years in Python and PySpark programming2 years in programming with databases such as Oracle, Hadoop, and/or Hive2 years in Jira and Git experience for software development
KLA
Engineer, Data Science
Chennai
2-5 years in engineering1-3 years in engineeringExperience in AI frameworksExperience in container infrastructureExperience in programming languagesExperience in building open-source operating systemsExperience in writing performance-sensitive Python programs
Amazon Music
Data Scientist, Digital Acceleration
Chennai
2+ years in Data Scientist3+ years in Data Querying Languages (e.g., SQL)3+ years in Scripting Languages (e.g., Python)3+ years in Statistical/Mathematical Software (e.g., R, SAS, MATLAB)3+ years in Machine Learning/Statistical ModelingExperience in applying theoretical models in an applied environmentExperience in applying various Machine Learning techniquesExperience in developing experimental and analytic plans for data modeling processesExperience in building systems that capture and utilize large data sets