Sr Data Scientist, CXI

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 nation's leading not-for-profit Medicare Advantage plans, serving more than 285,000 members in California, Arizona, Nevada, and Texas. 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. If you are interested in becoming part of an organization that is innovating senior healthcare visit www.thescangroup.org, www.scanhealthplan.com, or follow us on LinkedIn; Facebook; and Twitter.

The Job

The Senior Data Scientist, Consumer Experience Insights (CXI) at SCAN, plays a crucial role in leveraging advanced analytics, including natural language processing (NLP) and predictive modeling, to enhance the member experience and drive data-led business decision-making. This role is responsible for the end-to-end development and implementation of data science solutions that transform consumer insights into actionable strategies. By collaborating with business and IT leaders, the Senior Data Scientist ensures the application of best practices in data analytics and ML to deliver meaningful insights that support SCAN's mission to improve the quality of life for seniors.

You Will

• Develop Advanced Analytics Solutions: Design and implement advanced analytics solutions, including machine learning, deep learning, NLP techniques and Gen AI, to analyze structured and unstructured data.
• Develop Machine Learning Tools: Support the creation of various machine learning-based tools and processes to enhance data analysis capabilities.
• Data Cleaning and Processing: Clean, process, and identify areas of improvement for data sets of structured and unstructured data such as call audio, call transcripts and free form texts.
• Integrate Diverse Data Sources: Connect structured and unstructured data across the organization quickly to provide time-sensitive data insights from various sources including operational, prospect, call center, core admin, provider, VOC, clinical, and external data.
• Perform Statistical Analysis: Conduct statistical analysis to build AI tools and automate processes using data science algorithms such as regression analysis and supervised machine learning techniques.
• Collaborate with Leadership and Cross-functional Teams: Maintain ongoing communication with senior leadership (Directors and above) to deliver insights in accessible, business-friendly language. Identify opportunities to integrate ML/AI capabilities by asking relevant insightful questions to drive business goals.
• ML Design Acumen: Develop Technical Design documents that align with business goals and facilitate discussions to manage scope and translate technical concepts into layman's terms, ensuring alignment with business goals.
• Deliver Visualizations: Create and deliver visualizations of relevant analyses to support business understanding and decision-making.
• Create and Enhance Reporting Systems: Provide consultation on the design, testing, and enhancement of reporting systems to ensure accurate and actionable data insights.
• Team Leadership: Provide guidance to junior Data Scientists and ensure delivery is following the assigned priorities and industry best practices.
• Expertise in Cloud and State-of-the-Art (SOTA) Technologies: Proficient in developing and deploying advanced models on the Azure AI Cloud Platform and Databricks, leveraging the latest SOTA models and Generative AI services.
• Advocate for SCAN: Actively supports the achievement of SCAN's Vision and Goals.

Your Qualifications

• Bachelor's required, Master's degree preferred
• 5+ years of experience in analytics and machine learning or graduate degree covering the same topics.
• 5+ years of experience in Advanced SQL
• 3+ years of experience in large scale data processing framework such as Spark in Databricks.
• 2+ years of experience in Azure and relevant ML/AI services.
• 1+ years of experience in building Gen AI Solutions using LLM construct.
• 1+ years of experience in building Recommendations Engine.
• 1+ years of working with healthcare data preferred.
• Familiar with Microsoft Azure Cloud and Databricks preferred.
• Ability to develop analyses and models independently.
• Ability to create Technical Design, Testing Scipts
• Ability to document processes and analyses for reference/re-use.
• Demonstrated understanding in the areas of big data, analytics infrastructure, cloud computing, data management, customer experience (CX) from a business analyst perspective.
• Seeks and participates in development opportunities above and beyond required training.
• Strong organizational and time management skills.

What's in it for you?

• Base Salary Range: $125,400 to $200,600 annually
• An annual employee bonus program
• Robust Wellness Program
• Generous paid-time-off (PTO)
• 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
• 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.

#LI-JB1 #LI-Hybrid