- 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
- 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
- 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:
- Competitive medical, dental, and vision coverage with a 90% employer-paid premiums for employees option
- Generous HSA contribution, when elected and participating in an eligible plan, up to $1,500 annual company contribution
- Employer-provided (100% paid) Short Term and Long Term Disability insurance and Basic Life and AD&D insurance
- 100% paid Parental and Pregnancy Leave
- Monthly Wellness and Technology stipend up to $50 per month
- Ability to participate in the 401(k) plan
- Generous Stock Option awards
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Senior Data Scientist - Mountain View, United States - Qventus
Description
Job Description
Job DescriptionAbout Us:
Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.
About the Role:
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:
What We're Looking For:
It's a Plus if You Have...
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.
The salary range for this role is $170,000 to $190,000. This salary represents market data's middle to the high end across different geographies. We consider several factors when determining compensation, including location, experience, and the role's responsibilities. Salary/OTE is just one component of Qventus' total rewards package. Our benefits and perks currently include, but are not limited to:
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.
Candidate information will be treated in accordance with our candidate privacy notice which can be found here:
This position does not provide visa sponsorship.
Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
