Senior Data Scientist Propensity modeling *** Direct end client ***

Job Overview

Work from home is allowed until COVID. Prior experience in automotive industry is highly desired. 1. Architect and build propensity model based on web traffic data (Google analytics) 2. Data science work in manufacturing, repairs, customer behavior, customer segmentation, finance, sales and marketing, customer 360, Supply chain, Logistics, Customer support and order management 3. Experience with AWS stack (AWS S3 based data lake, Amazon Redshift based data warehouse) 4. AWS based data science and machine learning platform 5. Experience working with IOT data, time series data 6+ years of prior experience in a business-focused Data Scientist role 6+ years of hands-on experience analyzing data, drawing conclusions, defining recommended actions, building predictive models, and visualizing results. 6+ years of SQL development skills writing complex queries. 4+ years of experience with Python, R, Java, C++, Julia, or another widely used open-source programming language. 4+ years of experience deploying Machine Learning algorithms in a production environment. 3+ yearsrsquo experience in experience in Deep Learning engineering. Experience in Reinforcement Machine Learning is a huge plus. 3+ yearsrsquo experience with big data processing tools such as MapReduce, PIG, and HIVE, Hadoop, with considerable experience working with Spark. 6+ years of experience working with SQL and Non-SQL databases. 4+ years of experience with data visualization tools (D3.js, R Shiny, Looker, Tableau or similar). Experience working with cloud environments AWS andor Azure andor GCP cloud platforms. Experience working with LinuxUNIX shell virtual machines. Familiarity with distributed systems (Docker, Kubernetes, Kafka , Spark hellip) Experience using data access tools and building web application and simple UI solutions.