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Senior Data Scientist






Mountain View, CA, US


We believe in the power of data. But after years of working in hospitals we’ve seen it make things harder for frontline teams when it should be making healthcare work better. That’s why we founded Qventus.
Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We believe that new technology has the power to transform how patient care is delivered and managed. We use artificial intelligence and machine learning to create products that help healthcare organizations and their people adapt in the moment and make the right decisions from the most complex data.
Since launching our first customer in 2014, we’ve been committed to improving operational efficiency. While some prefer to tackle moonshot projects, we believe that improving small day-to-day decisions can, over time, create massive improvements in healthcare.
The Role
The mission of the Data Science team is to accelerate the success of our external customers through trustworthy data analysis and experimentation. As a member of the team, you will be on the ground floor, working directly with the Senior Manager of Data to define and implement our strategy for delivering data products. In your role as a Data Scientist at Qventus, you will be responsible for delivering models, data-driven functionality, and end-user features based on these models that will be deployed into production, as well as analyzing the data to produce actionable insights.

In this role, you will solve exciting problems in healthcare!

    • Predicting spikes of incoming patients that could overload a hospital and suggesting solutions.
    • Modeling patient flow through the hospital and better schedule nurses and doctors.
    • Identifying and notifying staff of patients who appear to be ‘slipping through the cracks’ of the care process.
    • Help identify patients who might be high risk for readmission in to the healthcare system.

Data Scientist at Qventus Responsibilities:

    • Design, develop and implement cutting-edge technologies to build actionable models to optimize hospital operations and patient behavior to identify opportunities for better care management and cost savings.
    • Help the team adopt best in class processes and techniques for data manipulation, statistical analysis, and modeling.
    • Help define scalable processes and relationships between our Data Science team and the rest of the organization.
    • Use predictive analytics and machine learning techniques to solve complex problems and drive business decisions.
    • Solve analytical problems, and effectively communicate methodologies and results
    • Draw inferences and conclusions, and create dashboards and visualizations of processed data, identified trends, and anomalies.
    • Work closely with internal stakeholders such as the business team, product team and engineering team and align them with respect to your focus area.

Basic Qualifications:

    • 5+ years of post graduate, professional experience as a data scientist, with a proven record of deploying your models in production.
    • Experience with a variety of modeling approaches and model evaluation techniques.
    • Significant development experience with Python, solid SQL and database fundamentals, experience with cloud services platforms (e.g. AWS Sagemaker, Snowflake) is a big plus.
    • A passion for fixing our healthcare system

Why You'll Love it Here

    • Medical, dental, and vision coverage for full-time employees
    • Unlimited PTO (and people actually use it!)
    • Fun company and team outings and trips because we play just as hard as we work!
    • Education reimbursement
    • Employee referral bonuses to encourage the addition of great new people to the team
    • Plus, unlimited snacks and beverages in our kitchen!
The role is full-time and will be based out of Mountain View, CA.
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.

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