Senior Data Scientist (Remote) (Optimization Modeling & Process Mining)

Key Skills

Aartificial intelligence, Analytical and Problem solving, Caffe, Data Modeling, Data science techniques, Finance, Github, GitLab, Keras software library, Machine learning techniques, Optimization, Planning and organization, Public Health, Python Programming, PyTorch, R Programming, Scikit-learn, SPARK Programming, SQL, TensorFlow, Theano

Job Description

Mercy is seeking a Senior Data Scientist to work within a team of other advanced professional data scientists, engineers, and application developers in the generation, extraction, and compilation of data to perform creative, high-quality, state-of-the-art analyses and evaluations that produce insights, support decision-making, and drive impact within a leading and transforming healthcare organization. This position will support Mercy’s efforts to deliver on the vision of personalized, predictive, and proactive care. The candidate should demonstrate expertise with data extraction, management, analysis with data analytics tools, be able deliver outputs on a timeline, and lead others in the completion of related work. The candidate should be able to effectively document, develop, and communicate project plans and analytic findings with a variety of technical/non-technical stakeholders.

Job Description Responsibilities: 

• Develop and manage predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic models in support of Mercy’s organization’s clinical, operations and business initiatives and priorities
• Conduct advanced and strategic analyses based in evidence and statistical methodologies.
• Perform advanced analytics techniques to mine unstructured data, using methods such as document clustering, topic analysis, named entity recognition, and document classification
• Support design, test and deployment of population scoring, stratification and segmentation based on predicted risk of adverse utilization/clinical and financial outcomes
• Deploy solutions that are embedded or integrated with application systems and provide actionable insights to the organization
• Support and drive analytic efforts designed around Mercy’s strategic priorities and clinical/business problems.
• Communicate and present analytical findings to Mercy Leadership.
• Assist leadership with dissemination of success stories (and failures) to increase analytics literacy and adoption across the organization.

Qualifications:

• Experience: At least 4 years of experience in a similar role in academia or industry or PhD + 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: 
• Have a strong knowledge of electronic medical record data, clinical data, claims data, or financial data.
• Experience with SQL
• Intermediate/Advanced development skills with at least one scripting language (Python, R, etc.)
• Ability to quickly learn new analytic tools and packages
• Ability to develop and apply computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resource, quality and supply chain)
• 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)
• Excellent problem-solving skills
• 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.

We Offer Great Benefits:

Day-one comprehensive health, vision and dental coverage, PTO, tuition reimbursement and employer-matched retirement funds are just a few of the great benefits offered to eligible co-workers, including those working 32 hours or more per pay period!

We’re bringing to life a healing ministry through compassionate care.

At Mercy, our supportive community will be behind you every step of your day, especially the tough ones. You will have opportunities to pioneer new models of care and transform the health care experience through advanced technology and innovative procedures. We’re expanding to help our communities grow. Join us and be a part of it all.