About the job
Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace. Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications. Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals. Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
Responsibilities
Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
Qualifications
Minimum
Have a graduate degree (masters or PhD) in Operations Research or Industrial Engineering
3+ years of industry experience using machine learning to solve real-world problems with large datasets
Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
Have strong analytical skills and problem-solving ability
Are a strong communicator who can collaborate with diverse stakeholders across all levels
Preferred
Knowledge of deep learning frameworks and methodologies
Experience in applying machine learning and optimization techniques to solve marketplace problems