Senior Data Science

Need 11 to 13 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics (Mathematics, Statistics or Operational Research etc) roles

The candidate should have
• Strong expertise and experience in Feature Engineering – Must have handled millions of records and thousands of columns of data and has done Feature Reduction, Feature Selection, Sample Selection, Feature Creation etc
• Must have extensive experience in Prediction Models – specifically XGBoost Models
• Having knowledge in Graph DB and Graph Analytics is a plus – AWS Neptune is preferred
• Should be strong in python and ML libraries and packages for model development.

Skills & Qualifications
• 11 to 13 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics (Mathematics, Statistics or Operational Research etc) roles
• Master’s degree in computer science, Statistics, or a related field (Mathematics, Operational Research, Data Science)
• Must have extensive experience in Feature Engineering – Data Wrangling, Feature Reduction, Feature Selection and Feature Creations
• Experience in Building and validating statistical, machine learning, and other advanced analytics models.
• Experience in Regression (multiple, Logistic etc), Classification (Decision Tree, Random Forest, XGBoost etc) and Time series Forecasting models (ARIMA), Segmentation, NLP, Deep Learning and Graph Analytics (AWS Neptune).
• Experience in Data Mining, Python, SQL, and familiarity with ML technologies
• Experience in using ML Libraries.
• Working Experience in Domino Data Lab, AWS Sage maker, Snowflake are a plus
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data.
• Ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency).
• Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.