Overview

About Business Unit:

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.

Job Summary

The PeopleCloud Customer team is looking for a talented 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 talented 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.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

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
Design and Implement Machine learning models using Spark ML, Python, Map-Reduce, Hive, HDFS, Spring, Hibernate and Java
Design and implement Deep neural network models using Tensorflow, Pytorch, Keras and Python
Create engaging and meaningful data visualizations of findings linked to clear client business impact.
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.
Exposure to Gen AI infrastructure using RAG. Langchain and agentic workflows is a plus

Qualifications

Experience with large scale distributed databases and computing systems like Hadoop, HDInsight or 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.
6-10 years of total IT experience with 5+ years in a data science role with demonstrable experience
Deep experience in machine learning
Strong experience in at least one programming language (i.e. Python, R)
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
Excellent communication & interpersonal skills with an ability to communicate ideas, insights and complicated analysis effectively at all organizational levels, include engineering leadership

Additional Information

Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we've provided marketers from the world's leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon's comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Our pillars aren't just words. They're how we show up every day.

People centricity: We focus on employee well-being in an environment where colleagues truly care about each other.
Collaboration: We work together, support one another, and collectively achieve goals.
Growth: There are endless opportunities for growth through learning, development and career advancement.
Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches.
Flexibility: We've created a balance between work and personal life, and we encourage adaptability to solve problems creatively.

Our values guide us to create value for our clients, our people and consumers.

Act with integrity
Work together to win together
Innovate with purpose
Respect all voices
Empower with accountability

These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose.

Epsilon is an Equal Opportunity Employer.

Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.

Senior Data Scientist Client Analytics