WNS : Data Scientist (Retail & CPG)

Brief Description of position:

Qualifying Specs:

  • Should have minimum 3 to 10 years of overall experience.
  • At least 2 years of data science industry experience OR 1year data science industry experience + 6months – 1year DS course.
  • Must have completed at least 1 year Data science course with Python.
  • Immediate Joiner / 1-2 Months’ Notice.

Job Description: Data Scientist

  • Hands on experience in developing models (end to end)
  • Clustering, Decision Tree, Random Forest, Support Vector Machine, Naïve Bayes, GBM, XGBoost, Multiple linear regression, Logistic regression, ARIMA/ARIMAX
  • Sound understanding of mathematics like probability theory, differential calculus, Laplace and Furrier transformations etc
  • Tools: Python, SQL, Spark, TensorFlow, big data, Experience on AWS/ Azure / GCP platforms, Knowledge of any visualization tools like Tableau, Quick sight, Qlik sense, Power BI etc. is a plus
  • Use predictive modelling to increase and optimize customer experiences, revenue generation, campaign optimization and other business outcomes
  • Work with project / product management to develop data use cases and embed predictive models in workflows on resource constrained platforms and cloud enabled.
  • Selecting features, building and optimizing classifiers using machine learning and deep learning techniques
  • Collaborates with Data Engineers to enhance data collection and ingestion/curation techniques to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis ·
  • Develop processes and tools to monitor and analyse model performance and data accuracy.
  • Life cycle management of predictive / Data science models. ·
  • Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies.
  • Managing and designing the reporting environment, including data sources security, and metadata.

Other Information:

  • Shifts – Day shifts
  • Location – Bangalore/ Pune/ Mumbai
  • WFO/ WFH – WFH till further updates
  • Max CTC range – 24 lpa gross
Location
Bangalore,Mumbai,Pune
Support

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.