Job description
Data Scientist
Remote within OR, WA, ID or UT
Cambia Health Solutions is seeking a junior-to-mid level Data Scientist to join its AI team in the development of innovative solutions to challenging problems in healthcare. Cambia fosters a strong culture of innovation in healthcare and is the parent company of several health insurance plans including Regence, a member of the Blue Cross Blue Shield Association operating in Oregon, Idaho, Utah, and Washington. Cambia’s AI team is tasked with developing data-driven solutions to address some of the most difficult problems at the core of Cambia’s healthcare insurance business. It is also responsible for driving innovation in the application of data to solve healthcare-related problems facing Cambia’s plan members.
As a data scientist on the AI team, you will have the opportunity to improve the lives of over 2.5M people in the Pacific NW by working cross-functionally to research, develop, and implement robust data science solutions to tackle critical business problems. In this role, you will work directly with product, engineering, data engineering and business teams to facilitate the implementation of algorithms, measure performance against key performance indicators, build new features and drive a process of continuous improvement using data. Data Scientists collect, integrate, and analyze data from sources related to health status and outcomes for our members, characteristics of health care providers, internal business processes, and other domains. Additionally, our data scientists work with machine learning scientists to develop models that can be used to help solve real-world problems. As a senior data scientist, you will also work to train and guide the work of junior staff. If you are someone who thrives in an environment requiring creative solutions to tough problems, enjoy a strong team dynamic, you will find fertile ground here to nurture that creativity.
The AI team’s current and future work is concentrated in a few main areas:
- Payment Integrity: Developing analytic systems that drive efficiency gains and cost savings in our audit process, saving our team’s internal partners time and energy, and reducing costs for Cambia’s plan members.
- Clinical Services: Revealing insights that help Cambia’s plan members access the programs and interventions that address their personal healthcare needs.
- Personalized Member Experience: Helping plan members get the information they need from their health plan where and when they need it by going beyond claims data; sources range from call data, click stream data, lab data, EHRs, etc.
- Explainable and Ethical AI: Ensuring that our models are explainable when necessary and that our modeling efforts do not introduce bias in decision-making processes.
We need a Data Scientist who wants to contribute to these and other areas, and who is…
- Motivated by understanding and solving real business problems within healthcare
- Passionate about working with both structured and unstructured data, large and small datasets, diverse data sources and data can be messy (and the challenges that come with all of these things)
- Self-starter who is eager to learn and improve the healthcare experience
- Curious and passionate about learning and sharing new tools and approaches
We are a collaborative team comprised of Applied Scientists (Data Scientists and ML Scientists), Engineers, and Product Managers, and we are ready to welcome our next team member. We look forward to hearing from you!
General Functions and Outcomes
- Research, design, develop, and implement data driven solutions using machine learning technologies and advanced statistical methods.
- You will assess existing and identify new sources of data relevant to the problems being investigated, apply statistical data quality procedures to new data sources.
- Generate and test working hypotheses: aggregate and mine data, conduct analyses, and extract practical results. Apply statistical techniques to develop models using large-scale database systems.
- Perform data studies and discovery around new data sources or new uses for existing sources by crafting and building large and sophisticated data sets.
- Ensure the appropriate identification of root causes through effective use of data analysis tools and techniques.
- Identifies findings and has experience with testing hypotheses.
- Design and implement statistical data quality procedures around new data sources. May be called upon to design, develop and customize analytic models used to analyze aspects of business decisions.
- Works under general direction to model sophisticated business problems, discover business insights and find opportunities using statistical, algorithmic, mining and visualization techniques.
- Prepare and present regular and ad-hoc analysis to internal audiences involved with decisions.
- Provides consultation on data findings and recommendations.
- You will work as a key part of cross-functional teams with various internal customer groups to study quantified cases, identify business problems and formulate desired outcomes.
Minimum Requirements
- Passion for helping healthy people stay well and for improving the comfort and health level of sick people as efficiently and compassionately as possible.
- Experience with at least one statistical/analytical programming tool (Python, R, SAS, etc.).
- Access and process structured data in SQL/CSV format from database or file system
- Proven track record to create complex SQL queries, analyze large amounts of data, interpret qualitative data (research, feedback) and incorporate into analyses.
- Experience with cleaning, aggregating, and pre-processing data from varied sources. Experience creating complex SQL queries for standard as well as ad-hoc data mining purposes.
- Proven ability to apply quantitative analysis techniques to business situations including forecasting, descriptive statistics, statistical inference, and multivariate modeling techniques.
- Project experience with machine learning, data mining, and constructing analytical models and algorithms.
- Understanding of advanced analytics (e.g., statistics, simulation, optimization) and methods such as time series analysis, longitudinal studies, and life event modeling.
- Demonstrated analytical skills, with the ability to analyze complex situations, learn quickly and synthesize corresponding solutions, options and action plans.
- Proven ability of effective time management and task management.
- Ability to coordinate cross-functionally to drive solutions and resolve issues in a timely and effective manner.
- Excellent oral and written communication skills to effectively interface and connect with a broad array of internal and external contacts including leadership.
Work Environment
- Work primarily performed in a hybrid environment consisting of in-office and working from home.
- Travel may be required, locally or out of state.
- May be required to work overtime and outside of normal hours.
The base pay annual salary range for this job is $83,500 - $136,000. The bonus target for this position is 15% .
We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.
If you need accommodation for any part of the application process because of a medical condition or disability, please email
CambiaCareers@cambiahealth.com
. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our
Privacy Policy
. As a health care company, we are committed to the health of our communities and employees during the COVID-19 pandemic. Please review the policy on our
Careers
site.
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