Senior Data Scientist

Senior Data Scientist, Client Analytics

Job Summary

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 Senior 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 self driven, 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

Perform hands-on analysis of large volumes of web analytics, transaction,

customer data, second and third-party data. Work with complex data

structure, manipulate, cleanse data and perform statistical analysis. SQL

based data processing

Design and Implement Machine learning models using Spark ML, 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

Experience with large scale distributed databases and computing systems like

DataBricks

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.

5-9 years of total analytics experience. Deep experience in machine learning

Strong experience in at Python, SQL, PySpark

Understanding and experience working with cloud infrastructure services like

Azure and Amazon Web Services. Azure preferred.

Experience working with code repositories and continuous integration (i.e. Git,

Jenkins, etc.)

Strong passion for understanding key business problems, bringing together

the team to understand data/ instrumentation needs and/or mine through data

to unearth deep insights into customer experiences

Skills: machine learning,cloud,python,sql,pyspark