Machine Learning Engineer

2 months ago

Metro Manila, Philippines Elevate Brands Philippines Inc. acquired by SellerX Full time

 

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 Machine Learning Engineer 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 portfolioTake our pricing and forecasting methodologies to the next level by improving accuracy, refining rules and processes, and optimizing our current toolsetChallenge existing assumptions and propose innovative solutions to scale and automate our planning and pricing processesInitiate and conduct real-time tests to gauge the impact of pricing and promotion strategies on sales, profitability, and product rankingsCollaborate closely with cross-functional teams in commercial, supply chain, operations, and finance to identify constraints and objectives that will inform and enhance our modeling effortsLead 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 marketingEnd-to-end Data Science experience in Machine Learning: from development to deployment of models with real business impact using Python, AWS, Kubernetes, AirflowProficiency 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 haveDegree in Engineering, Computer Science, Data Science, Operations Research, or equivalentStrong 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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