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Description

About SCAN

SCAN Group is a not-for-profit organization dedicated to tackling the most pressing issues facing older adults in the United States. SCAN Group is the sole corporate member of SCAN Health Plan, one of the nations leading not-for-profit Medicare Advantage plans, serving more than 270,000 members in California, Arizona, and Nevada. SCAN has been a mission-driven organization dedicated to keeping seniors healthy and independent for more than 40 years and is known throughout the healthcare industry and nationally as a leading expert in senior healthcare. SCAN employees are a group of talented, passionate professionals who are committed to supporting older adults on their aging journey, while also innovating healthcare for seniors everywhere. Employees are provided in-depth training and access to state-of-the-art tools necessary to do their jobs, as well as development and growth opportunities. SCAN takes great pride in recognizing our team members as experts in their fields and rewarding them for their efforts

The Job

Data Scientist will support leadership and Healthcare Informatics teams with insights gained from analyzing company and external data to help make smarter decisions and drive better outcomes. You must be adept at using large data sets to find opportunities for quality improvement and process optimization. You must have strong experience using a variety of data mining/data analysis techniques, using a variety of data tools, building and implementing predictive models, using/creating algorithms upon structured and unstructured data. You must have a proven ability to drive business results with their data-driven insights. You must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

You Will

• Work with stakeholders throughout the organization to identify opportunities for leveraging big data to drive business solutions.
• Mine and analyze data (both structured and unstructured data) from company databases and external data when needed to drive quality improvement, process optimization and business strategies.
• Select features, building and optimizing models using machine learning techniques.
• Process, clean, and verify the integrity of data used for analysis.
• Use predictive models to increase and optimize intervention targeting, coding accuracy, and other business outcomes.
• Do ad-hoc analysis and present results in a clear manner.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Actively support the achievement of SCANs Vision and Goals.
• Other duties as assigned.

Your Qualifications

• Masters degree or PHD in Statistics, Mathematics, Computer Science or another quantitative field required
• 2+ years of experience handling data sets and building statistical/machine learning models.
• Experience with cloud computing platform is required, such as Microsoft Azure.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience building regression and classification models using various supervised and unsupervised learning algorithms (clustering, decision tree learning, neural networks, etc.).
• Experience with most of the data science related python libraries/packages such as Pandas, NumPy, SciKit-Learn, TensorFlow, Matplotlib, SHAP, etc.
• Proficiency in using query languages such as SQL.
• Experience using Microsoft Azure and Databricks (for example, PySpark SQL and Dataframe) to perform data mining and EDA.
• Experience with Git version control system tool.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Experience with recommendation systems and algorithms, such as content based filtering and collaborative filtering is preferred.
• Experience with Natural Language Processing (NLP) is preferred.

What's in it for you?

• Base Salary Range: $92,400to $147,800annually
• An annual employee bonus program
• Robust Wellness Program
• Generous paid-time-off (PTO)
• Ten paid holidays per year, plus 1 additional floating holiday
• Excellent 401(k) Retirement Saving Plan with employer match
• Robust employee recognition program
• Tuition reimbursement
• An opportunity to become part of a team that makes a difference to our members and our community every day!

We're always looking for talented people to join our team!Qualified applicants are encouraged to apply now!

At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.

SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information.