Senior Data Scientist – Python, Machine Learning, AWS SageMaker & Customer Analytics

Job description

Job description: Data Science Engineer Required Skills 5 years of experience in Data Science Excellent knowledge and expereince of Python and SQL Strong 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 Skills: Mandatory Skills : Python - Data Science