Senior Data Scientist - eCommerce - PhD

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 Principal data scientist and participate in all the data experiments tasked by the Data Science Team.

- Analyse problems and determine root causes.

- Work closely with engineering teams to develop strategy for long term data platform architecture.

- Be 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' practical experience with data processing and analytics

- Experience and Understanding of Data quality, Features, Aspects of ML Models, 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

- Experience/familiarity in process mining is an added plus

- Fluency in Python