Job Title: Healthcare Data Scientist
Job Location: Long Beach, CA (90813) - In Office
Hours/week: Full Time 40 hours
Benefits offered: 401K, PTO, Health Insurance, Basic Life & AD&D
Job Purpose: The job purpose of the Healthcare Data Scientist is to transform raw data into meaningful insight using advanced analytics techniques to extract insights and guide business and clinical operations.
Job Responsibilities: 

Takes initiative and constantly improves personal knowledge of company ethos and analytic goals by building relationships across company's enterprise; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; and adapting to and learning from change, difficulties, and feedback.

Conducts business-specific and clinical research projects by applying deep expertise in healthcare; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; partnering internally and externally to obtain and integrate diverse datasets; solving complex problems; escalating issues or risks as appropriate; synthesizing knowledge, experience, and practice that generate new insights; recognizing and capitalizing on improvement opportunities; and evaluating recommendations made by others.

Interprets complex data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision-making; participating in peer reviews on request; and providing context related to data interpretations and/or limitations as appropriate.

Leads the development of advanced analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; translating models and gaining stakeholder buy-in for

implementation; creating complex models leading to actionable insights; and testing, refining, and validating models.

Designs, implements, and automates business and reporting solutions by partnering with stakeholders to advise in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; designing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.

Drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines by defining and calculating complex metrics to be analyzed; defining, calculating, and validating algorithms; and conducting complex analyses, including descriptive, correlational, inferential, and/or predictive statistics.

Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; collaborating with stakeholders and source system owners to resolve data quality issues as appropriate; and cleaning and creating final data set(s) for analysis.

Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across internal and external sources; developing outcomes and process measures; completing routine data refresh and update; developing and/or delivering complex tools for electronic data collection; and providing user training, support, and documentation.
Education and Experience

· Bachelor’s degree in mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.

· At least two (2) years of statistical data analysis and modeling experience.

· At least three (3) years of experience in delivering actionable insights from data.

· At least two (2) years experience working with data visualization tools.

· Proficiency with commonly used data science programming languages (Python, R, SQL, Java, etc.) and ability to write clear, reproducible code.

· Extensive experience with reporting and dashboard tools such as PowerBI, Looker, Tableau, etc.

· Ability to independently pursue and develop solutions to complex problems.

· Exposure to standard clinical measures and taxonomies from multiple sources (HCPCS/CPT codes).

· Curious about the type of work and motivated to help grow a medical practice.
Skills

· Proficiency with database programming languages such as SQL.

· Proficiency with common industry software platforms for data manipulation.

· Experience with data visualization tools.

· Knowledge of data management applications.

· Proficiency in managing electronic medical records.

· Analytical mindset with good problem-solving skills.

· Advanced level of written and verbal communication skills.

· Ability to work well with others and possess interpersonal communication skills.