| Data Scientist - Gen AI Professionals - San Antonio TX (Onsite) - Contract at San Antonio, Texas, USA |
| Email: [email protected] |
| From: Farook, Yochana [email protected] Reply to: [email protected] Role Title: Data Scientist / Gen AI Professionals Location: San Antonio TX (Onsite) Hiring Mode: Contract Data Scientist / Gen AI Professionals Responsibilities Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Build various ML Models within the Model guidelines and framework. Consults with peers for guidance, as needed. Translates business requirements into specific analytical questions, build ML Models and present model outcomes to non-technical business colleagues. Consults with Data Engineering, IT, the business, and other internal stakeholders to deploy analytical solutions Stay current with emerging trends and technologies in data quality management, data profiling, data cleansing tools and AI/ML. Collaborate with data governance teams to ensure compliance with regulatory requirements and industry and legal standards related to data quality and privacy. Able to identify GenAI use cases given in various business scenarios and come up with possible solutions. Familiar with various GenAl technologies, Prompt Engineering, RAG etc Skills & Qualifications 12 to 15 years of relevant experience, and 6+ years of experience in data science, machine learning, quantitative analytics (Mathematics, Statistics or Operational Research etc) roles Masters degree in computer science, Statistics, or a related field (Mathematics, Operational Research, Data Science) Experience in Building and validating statistical, machine learning, and other advanced analytics models. Experience in Regression (multiple, Logistic etc), Classification (Decision Tree, Random Forest, XGBoost etc) and Time series Forecasting models (ARIMA), Segmentation, NLP, Deep Learning and Graph Analytics. Experience in Data Mining, Python, R, SQL, and familiarity with ML technologies Experience in using ML Libraries. Working Experience in Domino Data Lab, AWS Sagemaker, Snowflake are a plus Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Excellent problem-solving, analytical skills and attention to detail, with the ability to identify patterns, trends, and anomalies in data. Ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders. Thanks & Regards, Farook Shaik Resource Specialist Yochana IT Solutions. Email: [email protected] || www.yochana.com We respect your online privacy. If you would like to be removed from our mailing list please reply with " Remove " in the subject and we will comply immediately. We apologize for any inconvenience caused. Please let us know if you have more than one domain. The material in this e-mail is intended only for the use of the individual to whom it is addressed and may contain information that is confidential, privileged, and exempt from disclosure under applicable law. If you are not the intended recipient, be advised that the unauthorized use, disclosure, copying, distribution, or the taking of any action in reliance on this information is strictly prohibited. We are an equal opportunity employer with a diverse workforce. Keywords: artificial intelligence machine learning rlang information technology Texas Data Scientist - Gen AI Professionals - San Antonio TX (Onsite) - Contract [email protected] |
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| Wed Oct 30 23:32:00 UTC 2024 |