Sr. Data Analytics Engineer

Key Responsibilities: Apply advanced statistical techniques (e.g., hypothesis testing, Bayesian inference, time series analysis) to solve business problems.Design, build, and validate machine learning models for classification, regression, clustering, and recommendation systems.Interpret model results and communicate findings to stakeholders with clarity and impact.Collaborate with data engineers to ensure scalable data pipelines and model integration.Stay current with the latest research and trends in ML/AI and apply them to real-world problems.

Preferred Skills:Experience in causal inference, A/B testing, and experimental design.Familiarity with deep learning architectures and NLP techniques.Exposure to big data tools like Spark, Snowflake, or Databricks.Domain expertise in [e.g. healthcare] is a plus.