• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 5th Oct 2021

·       Master’s Degree in Operations Research, Applied Statistics, Data Mining, Machine Learning or a related quantitative discipline. 

·       Highly skilled at Python programming for data science and may also use other languages for further exploration (R, SAS, Matlab, Spark).

·       Deep understanding of foundational statistical and machine learning approaches, including supervised (regression and classification techniques),unsupervised (clustering) learning, as use of cross-validation methods for model tuning and selection.

·       Familiarity with the software development lifecycle and version control (Git, Github, etc)

·       8+ years’ experience delivering world-class data science outcomes, you solve complex analytical problems using quantitative approaches with your unique blend of analytical, mathematical and technical skills.

·       Experience deploying machine-learned products to production environments and monitoring the performance of your product.

·       Excellent communication skills, not only with other analytically-minded individuals, but a wider audience.

·       Experience with cloud computing environments and tooling (e.g. AWS, Azure, Domino Data Lab, Alteryx).

·       Ability to independently navigate the data science process, ranging from identifying a business problem, acquiring data, experimenting with solutions, and sharing results.

·       Familiarity and background in health care data analytics and use of protected health care data.