Please note that the role is hybrid (2 days per week from the office in Mandaluyong), working hours: 2-11 PM. The role At SellerX, we are expanding our Data Analytics Department and we are currently seeking a Data Scientist to join our dynamic team. In this role, you will play a pivotal part in building and refining data models, as well as devising effective methodologies to drive precise pricing and demand planning for thousands of products sold globally under our SellerX brands.
Ready for an exciting challenge? Apply today!
Your Responsibilities in Detail Apply advanced data modelling techniques using Python and SQL to develop and enhance our existing planning and pricing models across our comprehensive portfolio.Take our pricing and forecasting methodologies to the next level by improving accuracy, refining rules and processes, and optimizing our current toolset.Challenge existing assumptions and propose innovative solutions to scale and automate our planning and pricing processes.Initiate and conduct real-time tests to gauge the impact of pricing and promotion strategies on sales, profitability, and product rankings.Collaborate closely with cross-functional teams in commercial, supply chain, operations, and finance to identify constraints and objectives that will inform and enhance our modeling efforts.Lead one-off analyses for our leadership team, including the Chief Commercial Officer (CCO) and Chief Executive Officer (CEO).Your Background To join our team, you bring along:
2+ years hands-on experience in at least one of the following areas: Demand forecasting, pricing, or marketing.End-to-end Data Science experience in Machine Learning: from development to deployment of models with real business impact using Python, AWS, Kubernetes, Airflow.Proficiency in ML modeling using Python (Time Series models, Tree-based models, or Deep Learning).SQL is a must (preferably in a Snowflake).Experience in taking ML use cases from concept to production.Experience in building and managing MLOps frameworks would be a big plus.Familiarity in visualization or building reports in Power BI would be nice to have.Degree in Engineering, Computer Science, Data Science, Operations Research, or equivalent.Strong stakeholder management skills to translate business needs into data-driven solutions.Sounds exciting but you're not sure if you tick all the boxes? We are always happy to read your application and hear your story. Everyone's talent is unique!
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