Roles and Responsibilities:
- Participate in client engagements in enhancing current statistical models and develop new models for business needs or design of experiments for test/control analysis and business process trials.
- Consult with cross-functional teams on matters relating to Machine Learning, knowledge discover, data modeling, and analytics.
- Own predictive models/ML and DOE/A-B testing areas of production ready ML models hosted across multiple systems.
- Develop business context for environment and ML uses/applications and deep knowledge of data inputs, outputs, and statistical testing/modeling
- Write/Run data extraction algorithms to acquire data from primary or secondary data sources and ability to describe/direct data requests for representative data necessary for analyses
- Develop statistical tests and predictive solutions to make business recommendations for decisioning
- Train/develop models, run evaluation experiments, and perform statistical analysis of results, refine and test / validate models in production
- Develop understanding of data framework and how it relates to business use, specific process time points, and make recommendations for any new
- data needs. Coordinate with data engineers to ensure data is representative of analysis solutions.
- Use of data analytics and other strategies that optimize statistical efficiency and quality
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Identify, analyze, and interpret trends or patterns in complex data sets
- Work with management to prioritize business and information needs
- Perform Ad Hoc Data Analysis and reporting for model performance
- Locate and define new process improvement opportunities for testing and predictive modeling
Qualifications Required / Desired Skills
- Advanced degree in one or more quantitative discipline Operations Research, Stats, Math, Comp Sci, Engineering, Economics or similar
- Experience in developing a variety of machine learning models algorithms in a commercial environment with a track record of creating meaningful business impact.
- Proficient with Pyspark, noSQL and Python and distributed programming
- Expertise working in MongoDb, Snowflake, Databricks and cloud computing platforms (AWS, GCP or Azure), or equivalent on-premise platform and deployment
- Experience in client engagements, interpreting client s business challenges, and recommendations for statistical analysis solutions (ie analytical consulting and solution design)
- Experience in presentation design, development, delivery, and communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts.
- Experience in Gen AI, LLM Workflow, Graph RAG etc is an added advantage.
- Flexible to work in shift model.
