• 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 :- 30th Aug 2022

Proficiency in Data Science workflow (ETL, EDA, Feature Engineering, DS Model Building and Model tuning, Data Validation, Model Implementation)

R and Python Languages

Data Visualization and Analysis

Strong Statistical Analysis skills and concepts

Understanding of Forecasting Techniques

Experience in working with pipelines and big data (e.g. Hive / Spark / Cosmos)

Good Database Knowledge (SQL)

Understanding of key supervised, unsupervised algorithms prevalent in the industry, with sound knowledge of their implementation, merits and demerits

Desirable Technical Skills

Azure Machine Learning, Cognitive Services, Azure Data Factory Pieline

Knowledge about Cosmos/Scope. Good ML Engineering overview is desired

Mandatory Functional Skills

Ability to work in a team, as well as an independent contributor

Proactive and creative about solutioning - candidate may have to generate novel solution based on business inputs - with minimal guidance on what kind of models need to be built to get effective insights.

Excellence communication skills - candidate has to work with multiple business stakeholders, and obtain requirements, sign-offs, be key presenter in milestone review meetings, collaboratively work in cross-functional teams (Data Engineering, Reporting, Analysts) and champion solution implementation through orchestrated effort.