[Full Time] Senior Data Scientist (REMOTE) at Qventus (United States)
Senior Data Scientist (REMOTE)
Qventus United States
Date Posted: 23 Aug, 2022
Work Location: Mountain View, United States
Salary Offered: Not Specified
Job Type: Full Time
Experience Required: 6+ years
Remote Work: Yes
Stock Options: No
Vacancies: 1 available
The Company
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.
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 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.
Key Responsibilities:
- 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 setting.
- 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.
Nice to have's:
- 3+ years experience of relative industry experience developing, launching, and iterating on machine learning models and/or developing the core data science platform.
- Master’s degree in Computer Science, Engineering, or related field, or equivalent training/experience.
- 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).
Qventus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, gender identity or expression, genetic information, marital status, 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.
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