Urgent Need!! LEAD Data Scientist!! REMOTE!! LEAD - Sagemaker - Python - SQL!! at Reston, Virginia, USA |
Email: [email protected] |
Hi, Please check the below requirement and get back to me asap. Position: LEAD Data Scientist Location: Reston VA (Primarily a REMOTE ROLE) Manager Notes: Please READ the notes below before sending your candidates. Experienced data scientist, Senior level, building ML models, a background in AI, Experience with Cloud Platforms, specifically AWS ecosystem, Data Engineering & Data Science Tools, background in Python or advanced sql, Sage Maker, Deployment of the models would be a really nice to have skill set or knowledge tools in the AWS ecosystem, Candidate must be a LEAD Level Data Scientist that has worked in a cloud based environment, some exp. in model deployment is a huge plus! Job Description: 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. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Key Requirement: Experience building data pipeline for ML and AI models, Experience optimizing ML/AI Model Code and deployments. Experience with Cloud Platforms, specifically AWS ecosystem, Data Engineering & Data Science Tools Education Level: Bachelor's Degree Education Details: Statistics, Mathematics, Computer Science or related field Experience: 10 years of relevant work experience. In Lieu of Education In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience. 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 Thanks & Regards, swapna Sr US IT Recruiter Desk : 469-598-1266 (Ext-175) : [email protected] 5151 Headquarters Dr. Suite 105 Plano, TX 75024 -- ** Uses below link to join on WhatsApp/Telegram/LinkedIn/Google Group ** Share below link with your colleague *** ---------------------------------------- https://linktr.ee/vinodusit ---------------------------------------- --- Keywords: artificial intelligence machine learning information technology Texas Virginia Urgent Need!! LEAD Data Scientist!! REMOTE!! LEAD - Sagemaker - Python - SQL!! [email protected] |
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Tue May 21 00:31:00 UTC 2024 |