Vacancy expired!
Job Description
- Apply statistical expertise to large data sets with billions of data points, representing hundreds of millions of lives, for the purpose of improving health outcomes
- Deploy personalized models to millions of Accolade clients, providing guidance for health decisions and improving lives and well-being
- Apply engagement models across a variety of channels, including client-initiated channels like mobile, messaging, and web, and outreach channels such as email and text
- Review the latest scientific literature to identify modeling proposals, creating prototypes on large population health datasets
- Serve as a domain expert for statistical techniques as applied to machine learning on population health
- Serve as a domain expert for statistical techniques applied to operational data such as anomaly detection, forecasting, and AB testing
- Augment "black box" population health models with interpretability, surfacing relevant information for a human in the loop
- Collaborate across Accolade with a multidisciplinary group of researchers and industry experts, including specialists in machine learning, behavioral science, big data, epidemiology, and population health
Qualifications
- PhD in Statistics or a closely related area
- Professional understanding of probability and combinatorics, sampling theory, and concepts related to statistical hypothesis testing
- Understanding of Bayesian methods for inference, modeling, and experimentation
- Understanding of machine learning techniques, metrics, and processes
- Professional experience coding in Pythonincluding scientific libraries such as NumPy, Scipy-stats and scikit-learn
- Ability to source and transform data using SQL and pandas
- Ability to understand, advise, and collaborate on model deployment in a mission critical service-oriented architecture
- Ability to set direction for an individual research and development program, including identifying needs and stakeholders, coordinating across disciplines and teams, and establishing rigor in peer review and reproducibility
- Professional-level understanding of big data and scripting technologies used for analytics and modeling
Additional Information
What is important to usCreating an enduring company that is hyper-focused on our culture and making a meaningful impact in the lives of our employees, members and customers. The secret to our success is:We find joy and purpose in serving othersMaking a difference in our members’ and customers’ lives is what we do. Even when it’s hard, we do the right thing for the right reasons.We are strong individually and together, we’re powerfulTrusting in our colleagues and embracing their different backgrounds and experiences enable us to solve tough problems in creative ways, having fun along the way.We roll up our sleeves and get stuff doneResults motivate us. And we aren't afraid of the hard work or tough decisions needed to get us there.We’re boldly and relentlessly reinventing healthcareWe're curious and act big not afraid to knock down barriers or take calculated risks to change the world, one person at a time.All your information will be kept confidential according to EEO guidelines.Vacancy expired!