Kansas Staffing
Lead Data Scientist - Research and Development - Graph Intelligence
Kansas Staffing, Topeka, Kansas, United States, 66652
Lead Data Scientist, Research & Development
Highmark Health is seeking a groundbreaking Lead Data Scientist, Research & Development, specializing in Graph Intelligence. This is a premier R&D position where you will lead the charge in inventing and proving out transformative graph-native analytical solutions. Your core mission is to push the boundaries of what's possible in advanced analytics by pioneering novel methodologies that leverage network science, knowledge graphs, and Graph Machine Learning (GML) to solve critical problems across the healthcare continuum. Your responsibilities will include designing rigorous experiments, building robust proof-of-concept models, and meticulously evaluating the performance and interpretability of these novel graph algorithms to ensure their real-world applicability. You are a relational data innovator with a strategic mindset. You inherently understand that the explicit modeling of entities and their relationships unlocks a deeper layer of intelligence that traditional tabular or sequential data models cannot. Leveraging your profound expertise in graph databases, distributed graph processing frameworks, and leading GML libraries, you will conduct in-depth research, construct sophisticated predictive, prescriptive, and diagnostic models directly on graph structures. You will drive initiatives from theoretical concept to validated, scalable prototypes. You are a vigilant scout of the graph AI landscape, continuously scanning, rigorously evaluating, and championing the adoption of emerging graph platforms, algorithms, and tools. Furthermore, you will actively foster collaborations with leading academic institutions, healthcare research experts, and the broader graph community. Your contributions will extend to publishing seminal research findings in top-tier conferences and leading the dialogue on the transformative power of graph intelligence in healthcare. Essential responsibilities include: Working directly with the business to understand their business processes and aims, then identifying how analytical solutions could help deliver value for them. Selecting and applying the appropriate advanced modeling/machine learning techniques to deliver business insight. Consulting with the business to contextualize and translate the results of the analysis in a form which the business can understand and act upon. Planning, preparing, and delivering all elements of several analyses largely independently. Being the face of major projects within ED&A, external presence/earned credibility. Education required: Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field OR Bachelor's Degree + 3 years of relevant work experience in lieu of a Master's Degree. Preferred: Doctoral degree (Ph.D.) in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology, or a related field. Experience required: 5 years of Data Science + 3 years Data Science (if PhD Education). Skills required: Analysis of business problems/needs Analytical and Logical Reasoning/Thinking Collaborative Problem Solving Data Analysis with SQL, BigQuery Statistical Analysis with Python, R Written & Oral Presentation Skills Basic proto-typing/front end skills Physical, mental demands and working conditions: Office-based Teaches/trains others regularly Occasionally travel Physical work site required: No Lifting: up to 10 pounds Frequently, 10 to 25 pounds Occasionally, 25 to 50 pounds Rarely Pay Range Minimum: $108,000.00 Pay Range Maximum: $201,800.00
Highmark Health is seeking a groundbreaking Lead Data Scientist, Research & Development, specializing in Graph Intelligence. This is a premier R&D position where you will lead the charge in inventing and proving out transformative graph-native analytical solutions. Your core mission is to push the boundaries of what's possible in advanced analytics by pioneering novel methodologies that leverage network science, knowledge graphs, and Graph Machine Learning (GML) to solve critical problems across the healthcare continuum. Your responsibilities will include designing rigorous experiments, building robust proof-of-concept models, and meticulously evaluating the performance and interpretability of these novel graph algorithms to ensure their real-world applicability. You are a relational data innovator with a strategic mindset. You inherently understand that the explicit modeling of entities and their relationships unlocks a deeper layer of intelligence that traditional tabular or sequential data models cannot. Leveraging your profound expertise in graph databases, distributed graph processing frameworks, and leading GML libraries, you will conduct in-depth research, construct sophisticated predictive, prescriptive, and diagnostic models directly on graph structures. You will drive initiatives from theoretical concept to validated, scalable prototypes. You are a vigilant scout of the graph AI landscape, continuously scanning, rigorously evaluating, and championing the adoption of emerging graph platforms, algorithms, and tools. Furthermore, you will actively foster collaborations with leading academic institutions, healthcare research experts, and the broader graph community. Your contributions will extend to publishing seminal research findings in top-tier conferences and leading the dialogue on the transformative power of graph intelligence in healthcare. Essential responsibilities include: Working directly with the business to understand their business processes and aims, then identifying how analytical solutions could help deliver value for them. Selecting and applying the appropriate advanced modeling/machine learning techniques to deliver business insight. Consulting with the business to contextualize and translate the results of the analysis in a form which the business can understand and act upon. Planning, preparing, and delivering all elements of several analyses largely independently. Being the face of major projects within ED&A, external presence/earned credibility. Education required: Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field OR Bachelor's Degree + 3 years of relevant work experience in lieu of a Master's Degree. Preferred: Doctoral degree (Ph.D.) in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology, or a related field. Experience required: 5 years of Data Science + 3 years Data Science (if PhD Education). Skills required: Analysis of business problems/needs Analytical and Logical Reasoning/Thinking Collaborative Problem Solving Data Analysis with SQL, BigQuery Statistical Analysis with Python, R Written & Oral Presentation Skills Basic proto-typing/front end skills Physical, mental demands and working conditions: Office-based Teaches/trains others regularly Occasionally travel Physical work site required: No Lifting: up to 10 pounds Frequently, 10 to 25 pounds Occasionally, 25 to 50 pounds Rarely Pay Range Minimum: $108,000.00 Pay Range Maximum: $201,800.00