| Hiring Now :: DATA SCIENTIST :: Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Amit Kumar Pradhan, Vyze Inc. [email protected] Reply to: [email protected] Job Description - Title: DATA SCIENTIST Location: Remote ( EST) only Duration:6 months Visa: : Only US /GC Moi: video HEALTHCARE INDUSTRY EXPERIENCE EAST COAST I just got off a call for the data science position. The team prefers for the candidates to all be on the East Coast time zone this position is less of a data scientist and much more of a machine learning operations engineer they will be taking the model from the data scientist and they will be productionalizing the code, writing the code for scale, deployment, and production of the code ideally someone who has a data science, data analytic, background -they have to be very technical on the machine learning operations engineering side of the house. This is a ML Ops Engineer. They will NOT be creating the work they'll be making the code better and doing the deployment-they also need Jenkins pipeline, Python, AWS stack it can be glue, sage maker ideally, lambda but very solid AWS infrastructure. 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 Keywords: artificial intelligence machine learning information technology green card Hiring Now :: DATA SCIENTIST :: Remote [email protected] |
| [email protected] View all |
| Sat Jun 08 03:45:00 UTC 2024 |