About the Role
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)
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