Manager Data Scientist Client Analytics

What you'll do

• Provide guidance to the team of Data Scientists and manage machine learning and deep learning projects
• Work with the team to analyze complex data structures, manipulate, cleanse data and perform statistical analysis
• Design and guide machine learning models using Spark ML, Python, HDFS, DataBricks
• Design and implement deep neural network models using Tensorflow, Pytorch, Keras and Python
• Develop machine learning pipelines with big data design principles in MS Azure cloud using Azure Data Factory
• Own end-to-end implementations of multiple marketing machine learning models such as Churn, CLV, Propensity, Affinity models
• Work with distributed teams (onshore and offshore) and collaborate with delivery management, business analysts, visual designers, analytics, developers, and QA
• Work directly with clients to own data science solutions as part of the COSMOS Cognitive Marketing Intelligence Cloud Platform team
• Extend platform functionality when not supporting client projects

Requirements

• Strong passion for understanding key business problems
• Proven capability to deliver end-to-end analyses by asking the right questions, extracting data, and building predictive models
• Expertise in predictive analytics, statistical modeling, data mining, machine learning algorithms and techniques (classification, clustering, regression, multivariate testing)
• Excellent communication and interpersonal skills
• MS in Computer Science, Math, Physics, or equivalent education/professional experience
• 10-12 years of total experience with 5+ years managing and leading data science teams
• Strong experience in at least one programming language (Python, R, C, C++ is a plus)
• Experience working with code repositories and continuous integration tools (Git, Jenkins)

Tech stack

Benefits