Position AI ML Data Modeling
Location San Antonio TX (Onsite)
Duration: 1 Years
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 nontechnical 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
- 10 to 12 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 problemsolving 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 semistructured 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 nontechnical stakeholders.