Data Scientist

Job Description

Job Title – Data Scientist

The Purpose of This Role

This role involves working with senior stakeholders in understanding and identifying the business requirements and needs in the areas of Machine Learning and Artificial Intelligence. Scanning the fast paced external and internal environments in these areas, developing futuristic ideas that would benefit the firm and leading implementation of mathematical/AI models/algorithms/solutions to bring those ideas to life. Specific experience in AI areas like Recommendation systems, deep learning, Reinforcement learning etc. will be an advantage.

How Will Your Work Impact The Organization

Individual in this role is expected to work with multiple stakeholders and teams, have excellent knowledge and experience of recent developments and work in a self-directed manner in ambiguously defined need areas.

The Value You Deliver

• Improve customer experience, top line and bottom line of the business by identifying growth and efficiency opportunities
• Analyze structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/ Web analytics tools and techniques and storytelling.
• Managing business partner / stakeholder engagement
• Participating in / leading interactions with middle and senior level management
  
  

The Skills That Are Key To This Role

Technical / Behavioral

• Expertise in Machine Learning (ML) and Artificial Intelligence (AI) :
• Given a business problem, the ability to translate it into an ML problem and then
• conceptualize and design solutions from end-to-end
• Possess extensive knowledge of and experience in applying data mining and machine learning, deep learning and Reinforcement learning techniques
• Expert in handling various data types and structures: structured, unstructured, voice, static versus streaming data. Extensive prior experience in integrating data
• Familiarity with recommender system algorithms such as multi-armed bandit, neural collaborative filtering, graph based recommendation etc.
• Should have extensive experience with relational, NO-SQL and Graph databases
• Interpret, criticize, and debug neural networks (not just implement and evaluate accuracy)
• Proficiency in the entire Data Modeling life cycle
• Comfortable with TensorFlow/Keras/Theano/PyTorch
• Familiarity with foundational model reasoning: bias-variance tradeoff, shrinkage/partial pooling
• Able to independently research and apply state-of-the-art deep learning and Bayesian modeling literature
• Communicate design decisions, tradeoffs, and findings to technical and non-technical stakeholders
• Very good communication skills
• Self-motivated individual with a strong sense of purpose
• Independent execution abilities with no hand-holding
• Ability to work in teams
• Must be able to mentor and guide junior team members
  
  

Additional Skills

• Expert in Python Programming
• Experience in building and deploying models on the cloud (AWS SageMaker, Glue)
• Comfort with Git source control and repo-driven development - continuous integration / continuous deployment
• Able to organize code using functional programming concepts, experience with statically typed functional programming a plus
• Comfortable working with data platforms independently – able to write REST clients, SQL, PySpark, as needed.
• Exposure to containerization/DockerThe Skills that are Good To Have for this role
• Advanced theory - optimization, differential geometry, statistical physics, category theory
• Advanced functional programming languages - Haskell, Idris and exposure to declarative programming concepts
  
  

The Expertise We’re Looking For

• Relevant experience with organizations known for cutting edge/ best-in-class applications of Advanced Analytics, Predictive Modeling and Artificial Intelligence.
• Master’s Degree / PhD in a quantitative field (e.g., Computer Science, Economics, Engineering, Statistics, Mathematics, Finance, Operations Research)
  
  

Location: Chennai

Shift timings: 11:00 AM – 8:00PM

Certifications

Category:

Data Analytics and Insights