Job Title: Data Scientist / Gen AI Professionals
Location: Frisco/ San Antonio (TX)
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
- 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)