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
