Brief Description of position:



Publicis Sapient is looking for a Senior Associate L2 – Data Science to join its Data Science practice. 

As part of the team, you will be responsible for creating data driven solutions that at the core are driven by relevant learning algorithms. In this role you will implement conceptual models for problem solving in the machine learning realm and help translate goals and objectives into data driven solutions. You will enjoy working with some of the most diverse data sets in the world, cutting edge technology, and the ability to see your insights turned into real business results on a regular basis

The role is critical in helping advance the application of machine learning as a core building block to solve real business problems.

Core areas of focus for this group includes applications in Demand Forecasting, Customer Profiling, Optimization of Operations, Propensity modeling, Risk analysis, and several others delivering true business value to our customers.


  • Provide technical thought leadership, coaching and mentorship in the field of data science while working with engineering teams
  • Help establish standards in machine learning and statistical analysis to ensure consistency in quality across projects and teams
  • Lead Data Engineers and Data Scientists and own delivery of Data science models
  • Perform code review and ensure code quality
  • Conversant with complete lifecycle of data science model – from prototyping to docker based web-service deployment, versioning, monitoring and retiring
  • Support the Client facing teams or management by producing quick-turnaround analysis, model development, and quality assurance for product development, consulting projects, and client presentations.
  • Independently analyze the research papers related to the problem area and translate relevant ones to working prototypes in an agile manner
  • Demonstrable strength in programming in Python/PySpark
  • Demonstrate proficiency in adopting object-oriented programming principles in coding 
  • Demonstrate expert ability to write re-usable and configurable code
  • Complete grasp over version control systems like GIT. Ability to resolve merge issues and guide the Team well on Good practices pertaining to version control systems.


  • BS/MS in Computer Science, Math, Physics, Engineering, Statistics or other quantitative or computational field. Advanced degrees preferred
  • Good understanding of applied statistics, such as probability distributions, measures of dispersion and central tendency, hypothesis testing and statistical inferences. 
  • Demonstrate proficiency with various approaches in regression, classification, and cluster analysis
  • Demonstrate proficiency in deep learning. 
  • Must have experience ML models in R/ Python
  • Demonstrable strength in programming in Python/R/Scala
  • Experience with one or more data visualization tool / library such as Tableau, R Shiny, Seaborn, etc
  • Expertise in SQL programming languages and familiarity with Hive, PIG
  • Demonstrated Experience in at least in one of the following NLP/computer vision/operations research/data mining/ML/AI
  • Experience working in a Unix/Linux environment for automating processes with shell scripting
  • Excellent quantitative skills and the ability to tell a story using data
  • Strong communication and presentation skills
  • Passionate about turning data into actionable insights
  • Proven ability to perform in-depth analysis, compile and interpret results


  • Ph.D. in Computer Science, Math, Physics, Engineering, Statistics or other quantitative or computational field
  • Expertise in application of machine learning algorithms on large datasets
  • Experience with large datasets and distributed computing (Hadoop, Spark) a plus
  • Experience accessing data, map-reduce programming style and training models in Hadoop, Spark
  • Experience in deploying models in cloud platforms such as Google Cloud/Microsoft Azure/AWS is a plus
  • Nice to have knowledge of NoSQL DBs like MongoDB, Cassandra and HBase 
  • Contribution to research community reflected in publications in top conferences/Kaggle competitions
  • Knowledge of Advanced Deep Learning techniques like Reinforcement Learning, GANs etc.


  • Strong written and verbal communication skills
  • Articulation skills
  • Good team player
  • Self-starter who requires minimal oversight
  • Ability to prioritize and manage multiple tasks
  • Process orientation and the ability to define and set up processes

6 years to 10 years with at least 2 years of DS experience

Gurgaon, Bangalore


Manager/Expert Level


Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. As digital pioneers with 20,000 people and 53 offices around the globe, our experience spanning technology, data sciences, consulting and customer obsession – combined with our culture of curiosity and relentlessness – enables us to accelerate our clients’ businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit

Gurgaon, Bangalore


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