This role involves developing, testing, and deploying a wide range of machine learning models tailored to various wholesale industries. The Data Scientist will be responsible for creating complex predictive systems including recommendation engines, dynamic pricing models, churn prediction algorithms, and customer categorization systems. Key responsibilities include building adaptable models that can be customized across different sectors like construction, technical, and HVAC wholesale, ensuring industry-specific needs are precisely met.
The ideal candidate must have at least 3 years of professional data science experience with a strong emphasis on machine learning model development and deployment. Hands-on experience with recommender systems is crucial, and candidates should demonstrate a strong generalist mindset capable of owning the entire product lifecycle. Required skills include end-to-end machine learning model development, proficiency in Python, PySpark, and experience with platforms like Databricks and MLFlow. A background in building production-ready models with continuous monitoring and optimization is essential.
Plato offers an innovative work environment where data scientists can make significant impact in transforming wholesale operations through cutting-edge technology. The company provides opportunities to work with diverse data sets, collaborate with cross-functional teams, and develop category-defining software. Compensation includes competitive salary, potential equity, and the chance to work with top-tier EU and US venture capital backed technology that is reshaping a $48tn industry.
