MLOps Engineer (Contract)
New York City, United States
Applications have closed
Nayya
Interacting with benefits is confusing. Transform open enrollment. Personalize decisions. Welcome to the benefit experience your employees deserve.About Nayya
At Nayya, we believe there’s a better way to choose and use benefits. A more transparent, less confusing way for employees to control their health and financial potential. Powered by billions of data points and machine learning, our benefits experience platform delivers personalized decision support and guidance during open enrollment, new employee onboarding, qualifying life events, and in the moments that matter all year round. This is one of the most stressful and challenging situations consumers face – and we see that as an opportunity to build an innovative response that can help millions of Americans possess the control and understanding they deserve.
Role Overview:
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 Dwill 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.
Responsibilities:
- 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
#LI-JD1
COVID-19 Policy: We require proof of vaccination and booster for COVID-19, except those with medical or religious exemptions.
Why Join Nayya?
- Be an early employee of a quickly growing, VC backed start up - grow with us!
- Have a meaningful impact on a platform that is scaling very rapidly
- Contribute to a values-based culture with an emphasis on empowerment and autonomy
- Work in a highly collaborative, cross-functional environment
- Benefits include: Competitive pay, employer-paid healthcare, stock options
Nayya is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics
Tags: ETL Machine Learning MLOps Python R Research Security
Perks/benefits: Career development Competitive pay Equity Health care Startup environment Team events
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