Careers

Job Description

Data Scientist - Statistical Modeler

Location
Powai, Mumbai or Airoli Navi Mumbai
 
Current Work Experience
4 to 10 Years
 
Skills (Mandatory)
 
  • Strong experience in leading teams for Data Analytics and Statistical modeling
  • Strong experience in leading teams for Data Analytics and Statistical modeling.
  • Experience in leading data analytics engagements across the customer life cycle
  • Develop sophisticated Data analytics frameworks, leveraging deep business understanding and analytical expertise, that add value to the client and result in new projects and revenue streams
  • Strong experience in demonstrated capabilities in Analytics Consulting, Visual Story Telling, and Data Science 
  • Strong people and team management skills
  • Strong client management and client interaction skills
  • Excellent written and verbal communication skills

 

Skills (Desired)
 
  • 4-10 years of experience in Data Analysis
  • Postgraduate qualification in Statistics (OR Computer Science) from a premier institute
  • Having hands-on experience on advanced analytics concepts and algorithms (e.g. Regression analysis Logistic Regression/Decision Tree, Monte Carlo methods, Survival Analysis, Simulation, Random Forest, Time series analysis etc.)
  • Exposure to tools – SPSS, SAS, R, Python
  • Excellent communication skills
  • Excellent critical thinking and problem solving skills
  • High motivation, good work ethic and maturity

Role

  • Developing advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
  • Implementing statistical and data mining techniques e.g. hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, patterns and other relevant information
  • Collaborating with clients and other stakeholders to effectively integrate and communicate analysis finding
  • Providing guidance and project management support to the Associates on the team
  •  Evaluating emerging datasets and technologies that may contribute to our existing analytical platforms
  • Establish the scope of the project, lead internal communication with stakeholders, and ensure delivery of the project per commitment.