At Kyruus Health, our mission is to connect people to the right care, in pursuit of our vision: a better healthcare system- one that's transparent and accessible- where everyone gets the care they need. Our values are at the heart of everything we do:
We care deeply – We do the right thing even if it’s the harder thing. We are fiercely driven – We harness our curiosity to pursue continuous improvement and create simple solutions to complex problems.We lead with respect – We celebrate the individual traits that make each of us unique and seek out diverse voices to listen and learn.We are accountable – We do what we promise for each other and our customers.
Here’s what that would mean for you in the Staff Data Scientist role.Care:  You’ll work to produce valuable insights and recommendations to help Kyruus Health customers make critical decisions that benefit the lives of their patients and members.Driven:  You’ll bring new ideas and perspectives to the table to help guide how Kyruus Health uses advanced data science techniques and technologiesRespect:  You’ll join a diverse team of data and BI engineers working to collaboratively develop new insights from Kyruus Health data Accountable:  You’ll help to ensure accuracy and validity of results produced by Kyruus Health data science to help instill confidence in the findings and recommendations produced.

What you will do in a Staff Data Scientist role at Kyruus Health:

• You’ll identify high impact business opportunities through data exploration, model prototypes and bootstrapping projects.
• You’ll apply a deep understanding of the business and operational aspects of technology choices, ensuring a balanced approach that meets our company's needs efficiently. Select appropriate ML modeling techniques for complex problems with large-scale data.
• Develop and iterate on features collaboratively with the business partners.
• Establish best practices for model deployment, monitoring, and interpretability.
• Ensure production-ready ML solutions with low latency inference times and risk assessment.
• You’ll engage in hands-on development, productizing, and operation of machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data.
• You’ll build solutions that can be easily integrated into external frameworks or existing applications.
• You’ll guide the development and expansion of the data science discipline within the organization by promoting best practices, strong technical decisions, coding standards and thorough documentation.
• You’ll foster collaboration among your engineering peers by creating well-structured, adaptable designs and code that promote teamwork and practical solutions.
• You’ll demonstrate your ability to facilitate consensus during complex technical discussions, ensuring that we maintain a productive and cooperative working environment.
• You’ll regularly present work internally (data science demo, internal talks,...)  to technical, engineering and product stakeholders to iterate and generate excitement
• You’ll report to the Sr Director of Analytics in the Cloud Infrastructure and Data Platform Department within the Engineering Division.

How You Can Grow
• Kyruus Health will bring you through an onboarding process that is both structured and self-guided,  designed to enable connection and productivity as you learn more about our company, functions and products.  Additionally, we have a culture of feedback, inclusive of our performance review process that provides you with the coaching, resources and opportunities to help you learn and grow with us.
• Kyruunauts in the Staff Data Scientist role can move in a more linear career path to a Senior Staff Data Scientist position.  From there, you could move into a Principal level role or explore a management position within the Analytics or Engineering vertical.
• Kyruus Health also loves to see an internal transfer. If a linear career path is not what you’re looking for, you can work with your manager and HR to explore lateral moves to other parts of the organization as you continue to grow with us.

What you will bring:

• B.S. or M.S. in engineering, math, physics, computer science or other quantitative discipline.
• 8-12 years of industry experience in a data science or software engineering role or Ph.D.
• Expert level knowledge totaling 8+ years of experience with Python and Apache Spark.
• Deep understanding of Machine Learning lifecycle, best practices, algorithms and domains (eg. anomaly detection, natural language processing, computer vision, personalization and recommendation).
• Experience collaborating with and understanding the needs of stakeholders from a variety of business functions and ability to work with domain experts to leverage their expertise  into your solution.
• Familiarity with database, pipeline and machine learning tools offered by AWS and/or GCP.
• Capable of working in a fast-paced and constantly changing development environment.
• Outstanding team player with great communication skills that can build team consensus.
• Passionately motivated to take ideas from development validation to a verified product.
• Self-motivated: Demonstrated ability to set direction and guide the team towards it.
• Hands-on approach: Proactively identifies and fills in gaps where needed and make things happen.

Equal Opportunity Employer
Kyruus Health is dedicated to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, national origin, citizenship, age, disability, sexual orientation, genetic information. We will not discriminate, in any employment decision, against any individual or group on the basis of race, color, religion, sex, gender, national origin, citizenship, age, disability, sexual orientation, genetic information, or veterans/national guard/military reserve status. This shall be done in compliance with all applicable federal, state, and local laws in every location in which Kyruus Health has facilities.