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Senior Data Scientist - Tulsa, United States - Qventus Inc
Description
The CompanyDid you know there is over $1 trillion of waste every year in healthcare? One of the biggest contributors to the staggering amount of waste is inefficient operations.
If you've ever spent hours waiting in the ER; if a hospitalized family member experienced a delayed discharge; if you've had to schedule a surgical procedure far into the future due to lack of available Operating Room time — then you understand the kinds of problems we solve.
We partner with health systems to automate care operations — all of the operational activities involved in delivering care, from discharge planning, to OR access, to patient flow, and more.
Our software combines AI, machine learning, and behavioral science to power best-practice solutions for settings across the hospital and system.
Solving those problems not only benefits patients, but it also eases the burden on physicians and nurses, and drives significant economic value for hospitals as well.
We work with leading health systems, academic medical centers, and community hospitals across the country.We've raised over $95M in funding from some of healthcare's leading investors, including Thomas H. Lee Partners, Bessemer Venture Partners, Norwest Ventures Partners, Mayfield Fund, and more.
We've also been recognized by Fast Company's 2022 World Changing Ideas Awards, The Robert Wood Johnson Foundation, CB Insights, and more.
Are you interested in simplifying how healthcare operates? Then join our amazing, mission-driven team and help health systems discover world-class operations that are essential to delivering world-class care.
The RoleQventus is looking for a Senior Data Scientist to help build the next generation of Qventus's AI.
You'll join a cross-functional team of clinicians, data scientists, data platform engineers, and product experts to help care teams make day to day decisions to get patients the right care faster and more efficiently across the country.
As a Senior Data Scientist at Qventus, you will have the opportunity to explore Qventus' unique and rich Healthcare dataset to develop cutting edge ML based solutions.
You will evaluate potential modeling approaches, build features together with data platform engineering partners, implement and operationalize algorithms with your fellow data scientists, and drive meaningful advances to the quality and breadth of our ML solutions to boost Qventus.
You should be strongly motivated to have an impact in the company and dedicated to helping improve the quality of healthcare and patient outcomes.
What we do can meaningfully change, and in some cases save, lives.Key Qualifications:
5+ years research experience using a wide variety of statistical and machine learning techniques (particularly in operations research modeling, incl. MILP, Constraint Programming, etc.)
Proven ability to work with domain experts to develop and tailor algorithmic solutions to problems in healthcare.
Competent Python and strong SQL with deep knowledge of core machine learning libraries (pandas, scikit-learn, numpy etc.)
Dedication to mentorship and growing strong collaborative data science teams.
Interest and ability in learning and working in a fast paced dynamic environment across multiple technologies.
Nice to Have Skills:
3+ years experience of relative industry experience developing, operationalizing, and iterating on machine learning models and/or developing the core data science platform.
Working knowledge of data platform technologies such as: AWS Services (RDS, ECS/EKS, Lambda, S3), ETL Tools (DBT, Airflow), Data Warehouses (Snowflake, Databricks).
Strong software development foundations - dedication to high code quality, stable architecture and an eye towards maintainability.Practical hands on experience with:
NLP (especially operationalization in production models), Advanced machine learning techniques and tools (especially Tensorflow), modern Data Analytics & Visualization tools (Looker preferred)
Core Responsibilities:
Develop, operationalize, and tune impactful machine learning models in the healthcare space employing a wide array of modeling and statistical techniques.
Design comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settings.
Create tools and resources to improve transparency into Data Science technical architecture and increase collaboration with engineering and analytics partners.
Qventus is an equal opportunity employer.All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Candidate information will be treated in accordance with our candidate privacy notice which can be found here:#J-18808-Ljbffr
