Sr. Data Scientist in Qventus

Closed job - No longer receiving applicants

Qventus provides 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 and solutions that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.

Qventus works with leading public, academic and community hospitals across the United States. The company was recognized by the 2019 Black Book Awards in healthcare for patient flow and by CB Insights as a 2019 top 100 Most Promising Company in Artificial Intelligence. Recently, Qventus won the Robert Wood Johnson Foundation Emergency Response for the Healthcare System Innovation Challenge through its work helping health systems across the country plan for and operate in the COVID pandemic.

The Role

Qventus 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.

Day to Day

Day-to-Day:

Develop, operationalize, and tune impactful machine learning models in the healthcare space employing a wide array of modeling and statistical techniques.
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 into Data Science technical architecture and increase collaboration with engineering and analytics partners.

Minimum 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, particularly in the inpatient or perioperative settings.
Functional knowledge of at least one scripting language (Python preferred) and SQL.
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's

4+ years experience of relative industry experience developing, launching, and iterating on machine learning models and/or developing the core data science platform.
Excellent SQL - hands on experience manipulating data sets, data cleaning, and pipelines
Strong software development foundations - dedication to high code quality, stable architecture and an eye towards maintainability.
Practical hands on experience with Natural Language Processing or Understanding techniques and productionalization.
Practical hands on experience Deep Learning modeling techniques and infrastructure.
Practical hands on experience with Ecosystem of data platform technologies such as: AWS Services (RDS, ECS/EKS, Lambda, S3), DBT, Snowflake, Databricks.
Practical hands on experience with Data analytics tools (Looker preferred).
Master’s degree in Computer Science, Engineering, or related field, or equivalent training / experience.

Wellness program Qventus offers or subsidies mental and/or physical health activities.

Accessible An infrastructure adequate for people with special mobility needs.

Pet-friendly Pets are welcome at the premises.

Flexible hours Flexible schedule and freedom for attending family needs or personal errands.

Internal talks Qventus offers space for internal talks or presentations during working hours.

Digital library Access to digital books or subscriptions.

Health coverage Qventus pays or copays health insurance for employees.

Retirement plan Qventus pays or matches payment for plans such as 401(k) and others.

Company retreats Team-building activities outside the premises.

Dental insurance Qventus pays or copays dental insurance for employees.

Computer provided Qventus provides a computer for your work.

Education stipend Qventus covers some educational expenses related to the position.

Fitness subsidies Qventus offers stipends for sports or fitness programs.

Performance bonus Extra compensation is offered upon meeting performance goals.

Conference stipend Qventus covers tickets and/or some expenses for conferences related to the position.

Informal dress code No dress code is enforced.

Shopping discounts Qventus provides some discounts or deals in certain stores.

Vacation over legal Qventus gives you paid vacations over the legal minimum.

Time for side projects Qventus allows employees to work in side-projects during work hours.

Parental leave over legal Qventus offers paid parental leave over the legal minimum.

Remote work policy

Locally remote only

Position is 100% remote, but candidates must reside in United States.