REMOTE WORK - NEED DATA SCIENTIST

DATA SCIENTIST - w2 Candidates only

Remote – EAST COAST ONLY

Must have Valid LinkedIn

Need Visa Copy and DL

Healthcare Industry Experience Required

NOT ONE HEAVY IN RESEARCH NEED A CANDDIATE THAT IS HANDS ON DEPLOYING MODELS AND BUILDING MODELS : NOT THE RESEARCH SIDE. PURPOSE: Machine learning models, AI background. Background with AWS and sage maker, some background in cloud tool or ecosystem. Need Python and SQL, will be sticking with Python since they are moving to sage maker. Must have experience deploying their models, building for production not just for analysis. Deployment scripts are in Python.

DEGREE-8YS EXP

NO DEGREE -12YRS EXP

Leads proliferation of machine learning and artificial intelligence throughout the enterprise. Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Leads interactions between analytics, business units and other departments.

Essential Functions

20% Leads all data mining and extraction activities and applies algorithms to derive insights.

15% Synthesizes analytical findings for consumption by the teams and senior executives.

15% Leads proliferation of machine learning and artificial intelligence solutions.

15% Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.

15% Mentors and develops junior data scientists for advanced data analysis.

10% Translates business priorities and creates data science deliverables.

10% Leads implementation of ML/AI/DS best practices for new data products and builds robust and scalable software.

Preferred Qualifications

Knowledge, Skills and Abilities (KSAs)

Ability to communicate effectively and document objectives and procedures., Expert

Ability to leverage a wide variety of data science tools and frameworks., Expert

Ability to support data exploration and data analysis tasks in support of analytics objectives., Expert

Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques., Expert

Proficiency in statistical modeling applications., Expert

Proficiency in advanced SQL in multiple syntaxes., Expert

Proficiency in AWS Ecosystem and tools

Experience working as an AI/ML Engineer