Sr Specialist Data Scientist

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.