Data Scientist

• Support the various AI/ML models that need to be deployed to production
• Troubleshoot various activities and rectify any problems that arise in the end-to-end model pipeline
• Test and validate AI Models. Deploy and manage models throughout the end to end lifecycle.
• Industrialize the model pipeline which includes Testing & validation of the model pipeline
• Be part of the requirements for new enhancements in model/solution
• Propose new ideas/solutions that can be helpful for the project overall
• Analyze and understand problems and issues to convert these insights into system requirements
• Build scalable and high performance Machine Learning and Data Mining algorithms

MUST HAVE SKILLS (Most Important):
• Solid foundational quantitative knowledge and skills. Extensive training in math, statistics, physical science, engineering, or other related fields is required.
• Experience in leading large-scale data science projects and delivering from end to end.
• Deep technical expertise in machine learning and statistical modeling.
• Strong knowledge of tree-based classification and regression techniques such as boosting and random forest. Expert knowledge of ML Python frameworks, packages, and libraries (e.g., pandas, numpy, scikit-learn, pytorch).
• Strong hands-on programming experience with demonstrated expertise in Python.
• Strong expertise in SQL programming.
• Experience with data platforms such as Spark, Hadoop, BigQuery, Snowflake or others.
• Experience with GCP, AWS, or other cloud computing services.
• Strong communication and interpersonal influencing skills.
• Excellent problem-solving and critical-thinking capabilities.

DESIRED SKILLS:
• Experience with Deep Learning, NLP, Transformers, and chatbot technology is a big plus.
• Experience with Recommendation and Ranking systems.
• Experience with R, Scala, or Java is preferred.

EDUCATION/CERTIFICATIONS:
• Must have: Bachelor's degree or 10+ years experience in practicing machine learning and data science in business.
• Desired: Master’s degree in a quantitative field or equivalent. A Ph.D. in Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, or Data Science is preferred.
 

Desired Skills and Experience

MACHINE LEARNING