Nayya is building a centralized Data Science team responsible for delivering insights, recommendations and supporting day-to-day data needs and decision support to cross-functional stakeholders. We are looking for people who want to leverage data and be able to solve and support complex business problems. The MLOps Engineer will be responsible for aggregating data from ETL solutions to model solutions for key business initiatives.

In addition to maintaining Nayya’s internal data structure, you will be responsible for developing projects across both of our Choose and Use platforms that include neural networks, advanced search indices and  If you’re a ‘get-things-done’ individual who thrives in a fast-paced environment and wants to help build the foundation for a best-in-class data practice from the ground up, then this is the role for you.


Combine knowledge of several research domains to help power decisions at Nayya
Design new machine learning systems to power the analytics efforts at Nayya
Improve the statistical methodology backing our experimentation platform
Build statistical models to predict user behavior and risks to the business
Adapt machine learning algorithms to solve problems across several teams, such as product, operations, customer support, compliance, and security

What You’ll Bring:

3-5+ years of data modeling experience as a ML Engineer, MLOps Engineer, Data Scientist or relevant position
Solid understanding of statistical analysis and machine learning algorithms
Excellent programming skills, including familiarity with either Python or R programming languages
1 year of experience of working in a research setting in an academic or commercial setting