Senior Engineer- Data Analytics

We are seeking a highly skilled and experienced Data Scientist with deep expertise in statistical modeling, machine learning, and data-driven decision-making. The ideal candidate will lead complex analytical projects, design robust predictive models, and collaborate cross-functionally to drive strategic insights and innovation.

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.

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• 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.