Sorry, this job is no longer available.

(Loading More Opportunities)

Data Scientist

Roles and responsibilities

  • Participate in architecture design and implementation of data platform model solutions.
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Design and build data processing and analytics logic
  • Develop processes and tools to monitor and analyse model performance and data accuracy.
  • Interact with business users to gather requirements and to determine source of data elements and subsequent organization and retrieval of data from the data warehouse.
  • Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
  • Coordinate with different functional teams to implement models and monitor outcomes.



  • Knowledge of advanced statistical techniques and concepts(regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • Big Data Analysis
  • Requirement Gathering & Analysis
  • Data Integration & Segregation
  • Team Management
  • Experience working with and creating data architectures
  • Experience with Data Visualization Tools like Domo, Tableau that help to visually encode data
  • Reporting & Documentation
  • Degree in Computer Science, Engineering or relevant field is preferred


  • Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL is desirable.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark.
  • Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
  • Databases: Microsoft SQL & MySQL
  • Data warehouse: Teradata, snowflake
  • Operating Systems: Windows & Linux
  • Other Tools: Putty & WinSCP

Good to have:

  • Experience with big data tools: Hive, Spark.
  • Familiarity with Scala or Java is an added advantage..
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
gurugram, UP, IN