Job Characteristics:Demonstrates use and application of data science principles, methods, theories, and concepts to assignments where precedents may exist. Demonstrates basic project management skills. Provides solutions to a variety of problems which require collecting and analyzing data from diverse sources to solve problems. Demonstrates ability and initiative to identify and explore novel approaches to data science solutions. Contributes to the exploration, refinement and deployment of data science solutions.

Education/Work Experience:Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 3 to 5 years related experience or MS and 2 years related experience.

• Basic Statistics – Distribution, sampling, Probability, Hypothesis.


• ML Concepts – Supervised & unsupervised leaning, Benchmark, Evaluation metrics, Optimization.


• Python – ML libraries like Pandas, NumPy, seaborn, scikit. Jupiter Notebook


• Familiarity with significance testing, sampling, descriptive statistics, Bayesian models & multivariate statistics


• Data visualization using PowerBI, Tableau  etc. preferably PowerBI.

Independence level/Reports to:Works under limited supervision on assigned tasks or portions of projects to determine and develop approach to meet desired objectives. May lead projects/research with limited scope and complexity. Normally reports to Data Science Manager or more senior technical leader.