About our role:
We are seeking an expert in machine learning to join our team as a senior applied scientist. As a key member of our data science department, you will be responsible for developing and deploying innovative machine learning solutions for retail pricing.
Key responsibilities include:
* Translating complex real-world problems into well-defined mathematical objectives
* Understanding various customer and operational business constraints
* Developing and deploying machine learning models in production environments at scale
You will be working with large-scale datasets and have experience with big data tools such as Apache Beam and Apache Kafka. Proficiency in Python and SQL is also required.
Minimum requirements include a PhD or Masters degree in Computer Science, Machine Learning, Statistics, Operation Research or related field, and 5+ years of industry experience in applied Machine Learning. Strong data engineering skills and experience working with large-scale datasets are also essential.
Preferred requirements include a background in applying ML techniques to solve real-world business problems in the retail sector, especially pricing. Familiarity with MLOps tools and pipelines is also beneficial.
In this role, you will have the opportunity to work on high-impact projects and collaborate with a talented team of data scientists and engineers. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
What we're looking for:
* PhD or Masters degree in Computer Science, Machine Learning, Statistics, Operation Research or related field
* 5+ years of industry experience in applied Machine Learning
* Strong data engineering skills and experience working with large-scale datasets
* Proficiency in Python and SQL
Benefits:
* Competitive salary and benefits package
* Opportunities for professional growth and development
* Collaborative and dynamic work environment
Interview process:
* A one-hour coding challenge
Data protection:
We are committed to protecting your personal data and respecting your privacy. We will only use your information for the purposes of recruitment and will not share it with any third parties without your consent.