Description

Responsibilities:

  • Participate and lead, multifaceted analytic studies on large volumes of data.
  • Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
  • Experiment against data points, provide insights based on experiment results and provide previously undiscovered solutions to command data challenges using a multitude of techniques e.g., exploratory mathematic and statistical techniques to NLP, vision, process mining, etc.
  • Work with the Principal data scientist and participate in all the data experiments tasked by the Data Science Team.
  • Analyze problems and determine root causes.
  • Work closely with engineering teams to develop a strategy for long term data platform architecture.
  • Be a hands-on practitioner (not just analyze but also actively contribute to the platform)

Requirements

  • Master's or PhD in Computer Science, Process Mining, Statistics, Applied Math, Operational research, AI, or related field
  • Overall 5+ years of experience. 3+ years of practical experience with data processing and analytics
  • This role is not for Freshers.
  • Experience and Understanding of Data quality, Features, Aspects of ML Models, and ML pipeline/infrastructure.
  • Able to understand various data structures and common methods in data transformation
  • Excellent problem-solving and debugging skills
  • Excited to experiment with new technologies and approaches
  • Experience in handling disparate data sources in a multitude of forms (e.g., event data, text, image, graphs, etc.) is desirable
  • Experience in handling event streams and processing them
  • Experience in building scalable solutions (optimizations) is desirable
  • Added pluses: Experience/familiarity in process mining; experience/familiarity with OCR
  • Fluency in Python