Director, Data Science

Olive’s AI workforce is built to fix our broken healthcare system by addressing healthcare’s most burdensome issues -- delivering hospitals and health systems increased revenue, reduced costs, and increased capacity. People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data. Olive is designed to drive connections, shining a new light on the broken healthcare processes that stand between providers and patient care. She uses AI to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive’s vision is to unleash a trillion dollars of hidden potential within healthcare by connecting its disconnected systems. Olive is improving healthcare operations today, so everyone can benefit from a healthier industry tomorrow.

Olive Knows is enabling the use of Olive’s collective intelligence across the continuum of care. Our team builds and implements products that deliver valued insights to healthcare’s end users to promote patient care and achieve the Quadruple Aim.

We are looking for an experienced data scientist leader who is passionate about applying data to new technologies that will fundamentally change healthcare and has the ability to lead a highly functioning team of data scientists to deliver on the Olive Knows GM’s vision. You will have direct responsibility for the oversight of multiple data scientists and you will report directly to the Senior Director of Data Science for Olive Knows. You will collaborate across the Knows team and with other data scientists and stakeholders across Olive.

Responsibilities

• Work collaboratively with Knows Engineering team leaders to identify high impact data science use cases that use advanced analytics and statistical techniques to demonstrate value
• Mentor and direct a growing team of data scientists
• Process large amounts of data from multiple sources and extract relevant insights
• Research new ways of modeling data for actionable insights and processes improvement
• Perform statistical analyses and build data science solutions to support emerging product needs
• Collaborate on complex and technical work with effective communication to develop quantitative strategies.
• Design agile and rigorous experiments to measure effectiveness of models, tools, products and programs.

Requirements

• Masters Degree in Mathematics, Statistics, Computer Science, Physics, or in an Engineering or Sciences discipline or related degree
• 4 years of professional experience leveraging Data Analytics, Statistics, Mathematics, Computer Science, Machine Learning, or a similar quantitative field.
• Knowledge of standard statistical techniques (hypothesis testing, descriptive, significance testing) and ability to use statistical software to create visualizations that concisely convey correlations, trends, and distributions
• Ability to code in one or more of the following languages/tools to process and generate insights from data: SQL, R or Python (PySpark, Pandas, SciPy, NumPy)
• Deep interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and product evaluation
• Good understanding of how to grow and shape data tools and datasets to improve data-driven decision making

Preferred Skills/Experience Nice to Have:

• Experience leading and mentoring other data scientists
• Experience in analyzing healthcare or biomedical data
• Experience with Machine Learning libraries (e.g., TensorFlow, Scikit-learn, Keras, Theano, Torch).
• Experience with Graph databases
• Experience in training and deploying Machine Learning models.
• Knowledge of how to improve code quality and optimize analysis processes (e.g. speed, cost, reliability)
• Experience using data intelligently to optimize product performance
• Experience with Agile tools, Jira, Trello, Pivotal Tracker, or related
• Understanding of continuous Integration, testing, deployment and release methodologies
• Version control such as GIT, Subversion, Team Foundation
• Ability to understand large scale software and system architecture

At Olive, we're committed to growing and empowering an inclusive community within our company and industry. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. Research shows that oftentimes women and other minority groups only apply to open roles if they meet 100% of the listed criteria. Olive encourages everyone — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community — to apply for our available positions, even if they don't necessarily check every box on the job description.

Disclaimer:

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned. This job description does not constitute a contract of employment and Olive AI, Inc. may exercise its employment-at-will rights at any time.