Data Scientist

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