Data Scientist | 100% Remote in Kansas City

 

Senior Data Scientists are innovative, gifted, business outcome-focused individuals who thrive in an environment with a vast array of data, technologies, and techniques in their daily work. Senior Data Scientists have an entrepreneurial attitude. They work closely with business leaders, vendors, and other teams to create strategic insights and solutions that add significant value to company's business. Senior Data Scientists need to be creative thinkers who can identify the right path forward based on the problem at hand and use innovative ways to solve problems by using advanced analytic approaches. Senior Data Scientists grow themselves and others and improve the strength of the company. Senior Data Scientists need to be able to present their findings to the business ways that can be easily understood by their internal and external business counterparts.

 

Makes impactful contributions by understanding, anticipating, and creating advanced analytic business solutions that deliver strategic business insights and $1M value annually.
Leads and oversee analysis of data utilizing statistics, machine learning, programming, and data modeling to discover information, business value, patterns, and trends to guide development of business assets and solutions.
Performs exploratory data analysis to understand relationships and opportunities to influence health outcomes, while being able to quickly iterate common feature transformation and model types to find the best predictive models.
Effectively leverages data assets and visualization skills to communicate insights and recommendations to executives, business leaders and clients in simple and understandable written and oral presentations.
Identifies opportunities and applies the latest advancements in machine learning and artificial intelligence to build, test, and validate models that align with business goals.
Drives the processing, cleaning, refinement and scale of predictive analytic processes, workflows, and tool/technology selections to support data science activities across the enterprise.
Collaborates well with team members and develops warm client relationships.
Provides performance feedback to managers and participates in recruitment efforts.
Trains and mentors less experienced data scientists across the enterprise
 

Master’s degree in Data Science, Computer Science, Engineering, or other relevant academic field.
5 years’ experience using natural language processing, machine learning, neural networks, or other predictive modelling methods.
5 years’ experience with data visualization tools (e.g., Power BI, Tableau).
3 years’ experience designing, developing, and deploying machine learning models in healthcare.
Expert level programming in Python or R.
Advanced knowledge of data extraction and manipulation using SQL.
Experience in leading advanced analytics projects.
Displays continuous mastery of advanced analytic technology and industry knowledge.
Demonstrates knowledge of payer business model and core health plan data.
Strong problem-solving and analytical skills and attention to detail.
Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences.
Collaborates well with subject matter experts to obtain an understanding of the underlying business problem to define and refine the corresponding technical solution
 

Related consulting experience.
PhD in Data Science, Computer Science, Engineering or other relevant academic field.
Experience with large longitudinal datasets such as administrative claims, electronic medical records, consumer data, marketing engagement, social determinants of health, or disease registries.
Experience using Azure, Snowflake, DataRobot, AWS, Google or other Big Data platforms and machine learning tools.