Job Description

Qventus is looking for a Senior Data Scientist to help power the next generation of Qventus’s AI in our Inpatient solution. You’ll join a cross-functional team of clinicians, data scientists, data platform engineers, and product experts to help support optimized discharge planning and operations 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 solutions that leverage a wide range of machine learning, statistical,  and other mathematical optimizations. You will evaluate potential modeling approaches, build features, implement and operationalize algorithms with your fellow data scientists and product teams, and drive meaningful advances to the quality and breadth of our ML solutions to boost Qventus intelligence and outcomes. You should be strongly motivated to impact 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 Responsibilities:

• Solve operational challenges in healthcare through the development, operationalization, and tuning of impactful models developed thoughtfully using a variety of machine learning, mathematical, and statistical approaches.
• Collaborate with Product and Clinical partners to investigate, assess, and deploy POC solutions in strategic business areas
• Design comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settings
• Create tools and resources to improve transparency in Data Science technical architecture and increase collaboration with engineering and analytics partners

What We’re Looking For: 

• 3+ years of research experience using a wide variety of statistical and machine learning techniques – particularly in NLP, explainable ML
• 2+ years of relative industry experience developing, launching, and iterating on machine learning models and/or developing the core data science platform
• Expertise with Python including an expansive of available data science libraries and util
• Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines.
• Hands-on experience building and maintaining production machine learning pipelines (experience with Sagemaker preferred)
• Strong software development foundations – dedication to high code quality, stable architecture, and an eye toward maintainability

It’s a Plus if You Have… 

• Dedication to mentorship and growing strong collaborative data science teams
• Experience working with productionalized Generative AI (ChatGPT etc.)
• Proven ability to work with domain experts to design relevant features and design, develop and tailor algorithmic solutions to problems in healthcare, particularly in the hospital setting
• Strong cross-functional communication with technical and non-technical partners
• Experience with healthcare data and industry
• Practical hands-on experience with:

Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.

We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that’s why we’re building a company that leads the way. We hold ourselves accountable to using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal opportunity employer and give all qualified applicants 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.