Sr. Data Scientist, Entpr Analytics

SCAN Group; Long Beach (CA); Hybrid; USD 125,000 - 201,000; Full time

Job summary

Join a forward-thinking organization dedicated to improving senior healthcare as a Senior Data Scientist. In this pivotal role, you will leverage advanced analytics techniques to derive insights that drive impactful strategies across clinical and commercial priorities. Collaborating with both business and IT leaders, you'll implement predictive models and optimize marketing investments, all while mentoring junior team members. This is an opportunity to make a meaningful difference in the lives of older adults and contribute to innovative healthcare solutions. If you're passionate about using data to shape the future of healthcare, this role is perfect for you.

Benefits

Annual employee bonus program

Robust Wellness Program

Generous paid-time-off (PTO)

401(k) Retirement Saving Plan with employer match

Tuition reimbursement

Employee recognition program

Volunteer days

Birthday off

Floating holiday

Opportunity to make a difference

Qualifications

• 4+ years of healthcare industry experience required.
• Experience with SQL and statistical-related coding in R or Python.
• Ability to document processes and analyses.

Responsibilities

• Drive implementation of advanced analytics for member engagement.
• Collaborate with business and IT leaders on analytics strategy.
• Manage multiple projects and mentor junior colleagues.

Skills

Machine Learning

Predictive Modeling

SQL

R

Python

Statistical Analysis

Text Analytics

Geospatial Analytics

Business Acumen

Critical Thinking

Education

Graduate or Advanced Degree in Statistics or related field

Tools

Alteryx

Tableau

Power BI

Snowflake

Databricks

Streamlit

Job description

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 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

This Data Scientist Sr. role will be a key member of SCAN's Enterprise Analytics team, responsible for end-to-end analyses using appropriate advanced analytics techniques to support use cases across the health plan. Use cases will span both commercially- and clinically-oriented priorities. Examples could include member segmentations to help focus clinical outcome and growth initiatives, multivariate analysis of the impact of various benefits, building longitudinal predictive models, calculating lifetime value and its relationship to commercial activities (product, sales, and marketing), and working with our Emerging Technologies team on innovative use of LLMs. This role will collaborate with both business and IT leaders to advise on SCAN's data and analytics strategy

You Will

• Drive implementation of scalable advanced analytics (such as machine learning and natural language analytics) to derive insights from previously untapped data. Illustrative examples could include:


• Building predictive models (e.g, random forests, monte carlo) to proactively anticipate issues and shape member engagement strategy


• Optimization models to support return on marketing investment, including marketing mix and multi-touch attribution


• Developing segmentation and stratification models (e.g., via K-Means Clustering) based on utilization patterns, social determinants of health, and other risk factors to prioritize interventions and help drive personalization efforts


• Using NLP techniques to streamline processing of unstructured data and improve operational performance


• Causal inference and propensity scoring to measure the impact of supplemental benefits on health outcomes


• Geospatial analytics to support network optimization or growth strategy


• Leverage strong business acumen to identify and prioritize advanced analytics use cases based on SCAN's highest-value opportunities


• Coordinate activities across internal stakeholders and external vendors to create requirements, test and train models, communicate findings with the business (including 'storytelling'), and support models going forward.


• Help shape and implements SCAN's data science and AI strategy in coordination with key stakeholders across the company. Manage multiple projects at a time based on the priorities and delivery methodologies of the Enterprise Analytics team, while also being a mentor to more junior colleagues.


• All other duties as assigned.

Your Qualifications

• Graduate or Advanced Degree or equivalent experience in statistics, mathematics, computer science, or related field preferred


• 4+ years healthcare industry experience


• 6+ years experience using quantitative methods: Modeling, machine learning, feature creation, construct analysis, multivariate statistical analysis, and predictive modeling.


• 3+ years of experience writing SQL code in relational database environment.


• 4+ years of experience writing statistically-related code in R, Python, or equivalent


• Knowledge of Alteryx as well as Tableau and/or Power BI is a highly preferred for data processing, visualization, and analysis.


• Experience with Snowflake and/or Databricks preferred


• Experience with Streamlit or other data as a service apps preferred


• Advanced knowledge of text analytics techniques leveraging LLMs preferred


• Experience in a Medicare Advantage or other managed care environment, preferred.


• Clinical code knowledge related to claims/utilization, preferred.


• Strong business acumen as well as technical analytical experience.


• Ability to document processes and analyses for reference/re-use, required.


• Strong interpersonal skills, including excellent written and verbal communication skills.


• Strong organizational skills; Ability to multitask.


• Ability to appropriately maintain confidentiality.


• Strong analytical and critical thinking skills, required.


• Familiarity with Agile delivery methodologies (e.g. Scrum, SAFe)

What's in it for you?

• Base Pay 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.

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