Manager Data Scientist Client Analytics

Overview

Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive. PeopleCloud Customer is a world-class cloud-based Customer Data Platform (CDP) fully enabled with a complete Marketing Automated Operating System (MAOS). The PeopleCloud Customer platform provides out-of-the-box SaaS and PaaS products that are fully integrated, including Customer Identity services, Deterministic and Probabilistic Customer Record stitching services and Marketing Machine Learning algorithms and models trained to deliver personalized activation at scale. The PeopleCloud Customer team is looking for a skilled team player in a Manager, Data Scientist. You are an expert, mentor and advocate. You have strong machine learning and deep learning background and are passionate about transforming data into ml models. You welcome the challenge of data science and are proficient in Python, Spark MLLib, Tensorflow, Keras, ML algortihms and Deep Neural Networks, Big Data. You must be determined, take initiative and want to work in a dynamic, busy and innovative group. You will work with a distributed team (onshore and offshore) and work closely with a broadly skilled team of delivery management, business analysts, visual designers, analytics, developers, and QA. You will work directly with clients to own data science solutions as a member of the COSMOS Cognitive Marketing Intelligence Cloud Platform team, and will operate as part of the product team to extend the Platform functionality when not supporting client projects.

Responsibilities

• Provide guidance to the team of Data Scientist and manage Machine learning and Deep Learning based projects.
• Work with the team who analyze complex data structure, manipulate, cleanse data and perform statistical analysis.
• Design and guide machine learning models using Spark MLLib, 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.

Qualifications

• Strong passion for understanding key business problems, bringing together a team to understand data/instrumentation needs and/or mine through data to unearth deep insights into customer experiences.
• Proven capability to deliver end-to-end analyses by asking the right questions, extracting data, and building predictive models to ensure actionable results.
• Expertise in predictive analytics/statistical modeling/data mining/machine learning algorithms and techniques (classification, clustering, regression, multivariate testing).
• Excellent communication & interpersonal skills with an ability to communicate ideas.
• MS in Computer Science, Math, Physics, or equivalent education/professional experience is required.
• 10-12 years of total experience with 5+ years of managing and leading data science teams with demonstrable experience.
• Strong experience in at least one programming language (i.e. Python, R, C, C++ is plus).
• Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.).

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.