Director - Data Science (Hybrid: Remote/Onsite) St. Louis

at  Mercy

WE’RE A LITTLE DIFFERENT

Our mission is clear. We bring to life a healing ministry through our compassionate care and exceptional service.
At Mercy, we believe in careers that match the unique gifts of unique individuals - careers that not only make the most of your skills and talents, but also your heart. Join us and discover why Modern Healthcare Magazine named us in its “Top 100 Places to Work.”

QUALIFICATIONS:

• Experience: Have at least 7 years of leadership experience in a similar role in academia or industry or Ph.D. + 2 years in a similar role in academia or industry
• Required Education: Graduate degree in Public Health, Health Care Research, Epidemiology, Statistics, Data Science, Health Policy, Economic, Finance, Simulation/Simulation-Based Optimization, or related field.
• Other:
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• Strong leadership skills, culture shaper, talent builder, influencer and collaborator that must effectively engage senior leadership and the broad organization to execute towards common goals.- Experience directing or managing small to medium projects

• Have a strong knowledge of electronic medical record data, clinical data, claims data, or financial data.
• Advanced python and related programming skills
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• Ability to quickly learn new analytic tools and packages- Broad knowledge of machine learning and statistics, with the ability to deep dive as well as converse at high technical level with architects and senior scientists

• Ability to develop and deploy healthcare-relevant predictive and prescriptive models.
• Experience with Cloud-based data and AI solutions, especially in implementation and operationalization of Machine Learning based solutions.
• Hands-on experience with a broad range of deep learning tools (e.g., TensorFlow, Spark, Theano, PyTorch, Scikit-learn, Keras, Caffe, Nvidia Digits) and collaboration environments (e.g., Jupyter notebooks, PyCharm, gitlab, github)
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• Excellent problem-solving skills- Flexible, dynamic personality who works well in a team environment and is also able to lead individual contributors

• Strong organizational skills, an orientation toward detail, and collaboration oriented.
• Present complex data (qualitative and quantitative) in a clear, concise, and compelling manner to both technical and non-technical audiences to inspire action

Please refer the Job description for details