Excellent knowledge and expereince of Python and SQL
Robust interest in exploring all aspects of data and possess the ability to communicate insights effectively while also concentrating on the technical solutions underlying them
Proficient in analyzing and modeling big data utilizing statistical machine learning and deep learning techniques
Expertise in transforming ambiguous questions into impactful experiments analysis or models
Familiarity with modeling requirements for Customer 360 and Customer Journey
Experience with Machine Learning platforms AWS Sagemaker Databricks Data Pipelines Spark Airflow CICD GitHub and visualization Power BITableau
Have a degree in a quantitative field such as Computer ScienceEngineering Mathematics Statistics or Economics with an advanced degree being desirable
Job Responsibilities
Utilize machine learning and deep learning models to create consumer intelligence such as Next Best Action Behavior Models and Churn for customercentric business teams
Write production level test driven code in Python and SQL
Analyze large datasets to uncover insights that inform marketing and customercentric investments
Plan and execute experimentation initiatives ensuring crossfunctional alignment robust analysis and practical insights
Develop datadriven products that provide clear insights and recommendations to nontechnical audiences through visualizations and presentations
Work collaboratively with product managers senior scientists engineers and other team members in an agile and scrum environment to fulfill modeling needs
Preferred
Experience with deploying ML model in production An advanced degree MS or PhD
Handson experience with developing Machine Learning models for marketing campaigns
📌 Python Data Science (Bengaluru)
🏢 Alike Thoughts
📍 Bengaluru
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