Data Scientist VI Data Science

Description:
In addition to the responsibilities listed below, this position is also responsible for solving complex client analytics problems; leading the development of experimental design approaches; defining validity of information, how long information is meaningful, and relation to other information; working with data steward to ensure information is in compliance with regulatory and security policies; and qualifying where information can be stored or what information may be used in support of the use case.

This position is also responsible for utilizing patterns and variations in the volume, speed and other characteristics of data supporting an initiative, data type, and speed or sudden variations in data collection; developing usage and access control policies and systems in collaboration with the data steward; partnering with data stewards in continuous improvement processes impacting data quality to define data quality expectation for specific use case; ensuring the organization understands principles and math behind the process; and leading on-going tracking and monitoring of performance of decision systems and statistical models.

• Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback.


• Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others.


• Leads data and information collection on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across internal and external sources; leading routine data refresh and update; leading the development and/or delivery of highly complex tools for electronic data collection; and providing senior-level user training, support, and documentation.


• Leads data preparation 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; partnering with stakeholders and source system owners to identify root causes and resolve data quality issues as appropriate; and cleaning and creating final data set(s) for analysis.
  
  
  


• Leads and drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines by reviewing data design and analysis of more junior employees; defining and calculating complex metrics to be analyzed; defining, calculating, and validating algorithms; leading and conducting complex analyses, including inferential and/or predictive statistics.


• Leads the design, roadmap development, implementation, and automation of business and reporting solutions by partnering with key stakeholders to advise in their design, planning, and implementation while ensuring consistency and coherency; reviewing data and results; 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 ensuring completion of documentation as appropriate.
  


• Leads highly complex data analysis interpretation by providing support to team on data interpretation; applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; leading peer reviews; providing context related to data interpretations and/or limitations as appropriate; and sharing insights with internal and/or external subject matter experts.
  
  


• Consults and provides expertise on 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; providing support in the creation of models leading to actionable insights; and testing, refining, and validating models.


• Drives and leads strategic data-informed decisions by consulting with senior-level clients and executive leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; leading the development of outcomes and process measures; translating complex business requirements; determining data/information needs and data collection methods; leading and guiding the development of complex analysis plans; evaluating the impact of business decisions on clients, customers, and/or members; building and leveraging partnerships with clients and staff to identify opportunities and methods to improve efficiencies with analysis; ensuring end-users are supported and trained; and reviewing documentation of processes and deliverables.