• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 19th Dec 2023

NOTES:

We have had several interviews and resume submittals but no offers.  Comments from client: light with Python and not good communication skills.  Need strong SQL expertise. 

What we are looking for

•     5+ years of experience in data analysis using Relational Databases, Databricks, SQL, and Python.

•     5+ years of experience in leading complex data science projects from requirements through development to prod, end-to-end.

•     Medicaid and QNXT experience. Required 

•     Experience implementing Databricks / Spark solutions in a cloud environment (AWS or Azure) in an Agile framework.

•     2+ years of industry experience in Data Science/Machine Learning as a mid-senior data. scientist/technical lead developing ML models with business impact, along with 5+ years of hands-on, industry experience with data & languages such as e.g., SQL, Python, R, and SAS.

•     Experience with 2 or more additional modeling techniques (i.e., Natural Language Processing, Deep Learning, Time Series Analysis, Optimization algorithms) with one or more deep learning libraries (e.g., Tensor Flow, PyTorch, Gaffe) is a plus.

 Additional Skills/Experience 

•     Computer Science Degree: Statistics, Informatics, or another quantitative field.

•     SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with a variety of databases, Vertica a plus.

•     Experience with Application and Data Analytics testing strategy and execution. 

•     Support the orchestration and implementation of Databricks Control Plane and Data Plane solutions/processes.

•     Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data analytics needs.

•     Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems.

•     Work in collaboration with infrastructure and development teams to design, migrate, build, and maintain optimal data pipeline, data models (Logical/Physical) program code base, architecture, and data structures for the Healthcare Lakehouse and supporting components.

•     Experience working with AWS cloud services: EC2, S3, RDS, Redshift and Glacier/Archival

•     Experience with Data mining, Data Science, and Predictive analytics is a plus.

What you should expect in this role

•     This position is to be performed remote.

•     Work Hours: Eastern Time Zone

•     Supporting OH Account