Job Alert for Senior Associate

Designation: Senior Associate/Consultant/Deputy Sr Consultant

Years of Experience: 2-3 years

Role Expectations:

  • Interpret and analyze (structured and unstructured) data using exploratory statistical and mathematical techniques to identify trends, anomalies, and quantify business results.
  • Ability to perform data discovery tasks and work with large data sets.
  • Apply Data Mining/ Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating/ running simulations to drive optimisation and improvement across business functions.
  • Work with data scientists to refine Machine Learning (ML) model and scale it up
  • Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
  • Ability to work collaboratively with cross-functional teams to improve outcome of Research projects/BD activities/Product development/Projects execution.

Qualifications

  • A Bachelor’s or Master’s in computer science or related disciplines (including Math/Statistics), with at least 2 years of relevant work experience (Must have)

Skill Expectations

  • Experience building production ML pipelines for model training/prediction in Python and R. (Must have)
  • Experience working with open source ML libraries such as Sklearn, Pandas and TensorFlow (Must have)
  • Create and maintain ML model training/prediction pipelines in production
  • Create re-usable tools and frameworks for ML model deployment and monitoring
  • Experience working with large data sets, coming from varied sources (Must have)
  • Experience with both object-oriented and functional programming concepts (Must have)
  • Good knowledge of MS productivity tools (Must have)
  • Working knowledge of visualization tools (e.g. Tableau/Power BI etc.) (Good to have)
  • Experience working with ML model training/deployment tools (such as Airflow, Kubeflow, Seldon etc.)  (Good to have)
  • Familiarity with data engineering tools (Spark/Kafka etc.) (Good to have)
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