As a Product Data Scientist, you will be working collaboratively within the Data Science team and across different teams in the company. Key responsibilities are:

• Developing new data-science / ML functions across products;
• Taking charge of existing code base for continuous maintenance, bug fixing, and improvement;
• Working with the Software/DevOps Engineering team to brainstorm ideas, develop new features and improve the product, delivering them as per the roadmap and release schedule;
• Facilitate the design process for new features as a representative from the Data Science team, collaborating and sharing knowledge with product managers/analysts, software/DevOps engineers and UI/UX designers;
• Supporting our Sales/BD, Marketing, and Community Development teams with:
  • Client facing: Developing and demonstrating use cases on the Engine to sales leads, as well as supporting existing and incoming clients with on-boarding and troubleshooting their data science / ML projects;
  • Knowledge: Articulating and explaining new capabilities and their applicability to various business use cases and their limitations.
• Contribute to the evangelization of our product and culture internally and externally.

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Real-world experience in working with customers to develop and deploy Data Science and ML solutions for one or more of the following use cases: demand forecasting & planning, inventory planning, revenue optimization, price optimization, churn prediction & prevention in manufucturing, wholesale distribution, retail and/or logistics/supply chain;

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