Lead Data Scientist

• Company Publicis Groupe
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Company Description

Epsilon is the leader in outcome-based marketing. We enable marketing that’s built on proof, not promises. Through Epsilon PeopleCloud, the marketing platform for personalizing consumer journeys with performance transparency, Epsilon helps marketers anticipate, activate and prove measurable business outcomes. Powered by CORE ID®, the most accurate and stable identity management platform representing 200+ million people, Epsilon’s award-winning data and technology is rooted in privacy by design and underpinned by powerful AI. With more than 50 years of experience in personalization and performance working with the world’s top brands, agencies and publishers, Epsilon is a trusted partner leading CRM, digital media, loyalty and email programs. Positioned at the core of Publicis Groupe, Epsilon is a global company with over 8,000 employees in over 40 offices around the world. For more information, visit epsilon.com. Follow us on Twitter at @EpsilonMktg. Job Description

This position is in the Data Science team under the Digital Experience organization. We drive the first mile of the customer experience through personalization of offers and content.

We are currently on the lookout for a smart, highly driven data scientist. You will be part of a team that is focused on driving results by utilizing the latest Machine/Deep Learning approaches especially developing advanced recommendation engines. The incumbent will be responsible for planning and driving ML delivery projects individually. The incumbent is also expected to partner with various stakeholders, bring scientific rigor to develop and deliver high quality models and business results to our clients. She/He also must have excellent verbal and written communication skills and be comfortable working in an entrepreneurial, ‘startup’ environment within a larger company. We use everything a data scientist loves like: GIT, Python, Java, AWS, deep and shallow learning, supervised/unsupervised/semi-supervised approaches. We have access to both unstructured and proprietary data that covers close to 100% of the US consumer base.

What you will do:

• Design machine learning/deep learning approaches to address real business problems with a keen eye on business metrics

• Collaborate with other members of the team to ensure high quality deliverables

• Prioritizing, planning and delivering data science projects to create business impact while setting a high bar for scientific rigor

• Developing high-performance algorithms for precision targeting, testing and implementing these algorithms in scalable, product-ready code

• Interacting with other teams to define interfaces and understanding and resolving dependencies

• Work with the engineering team to deploy, validate, monitor and improve the model performance as required

• Drive engagement with different stakeholders and grow the team to take on more projects

• Learning and implementing the latest approaches in Data Science Qualifications

• MS in Computer Science or related field with 8+ years of relevant experience

• Extensive knowledge of Machine Learning/Deep Learning approaches and the underlying algorithms/Math

• Tech Stack: Python, PySpark, Big Data tech, Docker, Kubernetes • Experience with AWS technologies a plus

• Good written and spoken communication skills, team player

• Strong analytic thought process and ability to interpret findings

• Ability to work on multiple assignments concurrently

• In addition, the candidate should have strong business acumen and interpersonal skills, yet also be able to work independently

• Should be able to communicate findings and the way techniques work in a manner that all stakeholders, both technical and non-technical, will understand