Job Description
IT is different here. Our work as technology specialists pushes the boundaries of what's possible in health care. You will build solutions that make a real difference in people's lives. Driven by the importance of their work, our team members innovate to elevate. We're encouraged to be curious, collaborate, and turn ideas into solutions that can make health care better for all.

In this role you will identify, implement, and deliver accurate and quality analyses that translate data in sound organizational decisions. You will be critical in building out our NLP capabilities.
If you are ready to make a career out of making a difference, then you are the person for this team.
What You Will Do

• Own delivery of large and/or complex data science and engineering projects
• Lead in the development and testing of hypotheses across all functional data sets
• Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests
• Define and implement integrated data models, allowing integration of data from multiple sources
• Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation
• Define and implement data stores based on system requirements and consumer requirements
• Design and develop models to understand and solve complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis, stochastic modeling, pattern recognition, probability analysis, and network analysis
• Design and implement production models leveraging technologies such as Python, and R
• Leverage existing data sets and engineer new data sets including development of SQL queries, data integration and resolution of data quality issues
• Apply advanced conceptual understanding of Big Data systems to data set engineering and analytic model implementation
• Lead reviews of analytic models and algorithms
• Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups
• Document and test analytic processes including performance and thorough data validation and verification

What You Bring

• Master's Degree in Data Science, Applied Mathematics, Computer science, Statistics, Biostatistics, Epidemiology, Health Services Research, or a field closely related to Data Science specialization, or equivalent combination of transferrable experience and education

5 years of the following with increasing scope of project responsibilities:

• SQL programming (Advance SQL programming)
• Demonstrated experience with design and implementation of analytic models and methodologies for new applications
• Proficiency in Python
• Advanced experience working with large and complex data sets to develop regression and classification models.
• Deep knowledge of state-of-the art techniques in machine learning, statistics, optimization or related fields Demonstrated experience in successfully delivering data science projects.

Great to Have

• Experience with Python analytics packages such as scikit-learn, NumPy, Pandas etc.
• Experience leveraging NLP
• Experience preparing data for analysis
• Exposure to clinical, healthcare, or insurance data
• Experience with Hadoop, Hive, and/or other Big Data technologies
• Experience working in AWS and/or using Linux based systems
• Expert at the execution of implementing models and methodologies on big data
• Demonstrated experience performing data validation on prepared data sets
• Familiarity with deep-learning modeling techniques and their application
• Experience in software engineering practices and software development methodologies
• Ability to communicate clearly and effectively both orally and in writing
• Ability to work independently
• Reliable task estimation skills
• Excellent quantitative, problem solving and analytic skills
• Ability to document data discovery findings, feature selection process, model determination process, and interpretation of insights
• Ability to collaborate effectively with business stakeholders, performance consultants, data scientists, and other data engineers
• Proficient in use of MS Office applications, including expert level Excel programming
• Ability to quickly become expert in operational processes and data of lines of business
• Ability to troubleshoot and document findings and recommendations
• Comfortable briefing internal stakeholders on findings
• Proactively communicate risks and problems to leadership
• Ability to keep up with a rapidly evolving technology space

Salary Range
$100,500.00 - $182,700.00