Data Science Lead / Manager Jobs in Bangalore - Epsilon India

Data Science Lead / Manager (DX Team)

Positioned at Publicis Groupe's core, Epsilon is a leader in interaction management, empowering brands to transform ordinary customer experiences into meaningful, human experiences. Through a connected suite of products and services, Epsilon combines leading-edge identity management, industrial strength data and technology expertise with big brand acumen gained over five decades working with the industry’s top brands. Our human-powered, data-led marketing delivers unmatched depth, breadth and scale to help brands turn meaningful human interactions into exceptional business outcomes.

Why we are looking for you 

• You have worked on machine learning projects independently from start to end 
• You have developed machine learning and deep learning models on large volumes of data 
• You have worked closely with Engineering teams to take models into production 
• You have in-depth knowledge of algorithms and statistics 
• You have worked closely with clients and internal stakeholders to solve complex problems 
• You can communicate complex ideas in a simple manner 
• You are focused on the business problem and delivering RoI for the clients 

What you will enjoy in this role 

• Develop state-of-the-art approaches to solve marketing problems 
• Work on a wide range of problems  
• Access to large volumes of data 
• Work across a wide range of clients in different verticals 
• Work closely with engineering teams to develop productised solutions 

What you will do 

• Design machine learning/deep learning approaches to address real business problems with a keen eye on business metrics 
• Guiding the junior members of the team to identify the right approaches and analysis to define and solve the business problem team 
• Design standardized approaches that reduce time to model development and insight generation 
• 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 

ďťżQUALIFICATION & EXPERIENCE 

• MS in Computer Science or related field with 10+ years of relevant experience 
• Extensive knowledge of Machine Learning / Deep Learning approaches and the underlying algorithms / Math 
• Prior experience in managing a team of data scientists 
• Tech Stack: Python, PySpark, Big Data tech, Docker, Kubernetes 
• Experience with AWS technologies is 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 and communication skills, yet also be able to work independently.  
• He/she should be able to communicate findings and the way techniques work in a manner that all stakeholders, both technical and non-technical, will understand