As a Data Scientist with Tredence, you will play a key role in translating data into insights for our clients. You will design, develop and implement processes and framework that will help our clients make sense of the data they generate, and consume the insights to make informed decisions.


  • Design and develop solutions for insight generation and improved analytics consumption within the client organization
  • Combine advanced analytical skills with business acumen to drive key metrics and improved revenue for the client
  • Develop highly scalable advanced analytics tools using machine learning, data regression, and rule-based models
  • Work across teams to develop, refine and scale data management and analytics process and frameworks
  • Catalyse the analytical maturity of the client by suggesting, collecting and synthesizing requirements and developing self-service scalable solutions
  • Work as an extension to the analytics teams to implement algorithms that power user and developer-facing products
  • Be accountable for measuring and optimizing the quality of the algorithms
  • Adapt standard machine learning methods to best exploit modern parallel environments


  • BE/ B. Tech degree in Computer Science or related quantitative field with 2-4 years of relevant work experience
  • Working knowledge of scripting languages such as Perl, Python, PHP and shell scripts
  • Hands-on experience working on recommendation, targeting, and ranking systems
  • Strong background in Large scale Data Mining, Machine Learning, Artificial Intelligence, Pattern Recognition and/or Natural Language Programming
  • Background in text understanding
  • Experience working with Hadoop/Hbase/Pig or MapReduce/Bigtable/AzureML/ Scala/ Hive/ H2O would be an added advantage