Pune, MH, IND
12 days ago
Director of Predictive Analytics & Demand Forecasting
ABOUT THIS ROLE  As the Director of Predictive Analytics & Demand Forecasting, you will play a pivotal role in building and leading our machine learning team from the ground up. In this role, you’ll establish team processes, define best practices, and lay the strategic foundation for the future of machine learning at Kibo. You will drive both hands-on technical innovation and strategic leadership by leveraging and fine-tuning industry-standard models available on platforms like SageMaker and Vertex-AI. Your work will focus on optimizing demand forecasting accuracy and engineering efficient ETL pipelines to manage large-scale datasets, ensuring that our ML solutions are both robust and scalable. ABOUT KIBO  Kibo Commerce is a composable digital commerce platform for B2C, D2C and B2B organizations who want to simplify the complexity in their businesses and deliver modern customer experiences.  We are the only modular, modern commerce platform that supports experiences spanning eCommerce, Order Management, and Subscriptions.  Merchants like Zwilling, Ace Hardware, and Jelly Belly trust Kibo to bring simplicity and sophistication to commerce operations and deliver experiences that drive value.    Kibo’s expertise and cutting-edge innovation has been recognized by Forrester, Gartner, Internet Retailer, and TrustRadius, and was cited as a leader in The Forrester Wave™: Order Management Systems, Q1 2025, and named a leader in The Forrester Wave™: B2C Commerce Solutions, Q2 2022.  By joining Kibo, you will be part of a team of Kibonauts all over the world in a remote-friendly environment. Whether your job is to build, sell, or support Kibo’s commerce solutions, we tackle challenges together with the approach of trust, growth mindset, and customer obsession. If you’re seeking a unique challenge with amazing growth potential, then come work with us!  WHAT YOU’LL DO Build and mentor a high-performing ML and data engineering team Develop workflows and best practices for efficient and scalable operations Design and deploy machine learning models for supply chain demand forecasting and inventory management Build scalable pipelines to process and transform large order management and sales datasets Collaborate with teams to define forecasting requirements and deliver actionable feedback Integrate ML solutions with existing order management systems and tools Drive customer value by leveraging demand forecasting for optimized order routing and proactive inventory reallocation Maintain or refactor the existing processes that support the current BigQuery/Looker multi tenant BI platform Optimize time series models, regression algorithms, and neural networks for accuracy Monitor, fine-tune, and ensure the scalability of deployed models Conduct EDA to uncover trends, seasonality, and anomalies in data Develop and maintain ETL workflows for reliable data ingestion and preprocessing supporting multiple Tenants and Data Centers Utilize cloud platform GCP for model training and deployment
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