Data Scientist V Data Science

Key Skills

Business Intelligence, Data Analytics, Data Architecture, Data science techniques, Data Visualization, Database, Deep Learning, Effective communication skills, Machine learning techniques, Project management, Statistics

Job Description

• 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; 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; completing routine data refresh and update; developing and/or delivering complex tools for electronic data collection; and providing user training, support, and documentation.

• Drives strategic data-informed decisions by consulting with clients and leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing complex analysis plans; evaluating the impact of business decisions on clients, customers, and/or members; partnering with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.

Minimum Qualifications:

• Minimum five (5) years machine learning experience.
• Minimum five (5) years statistical analysis and modeling experience.
• Minimum three (3) years experience working with data visualization tools.
• Minimum five (5) years programming experience.
• Minimum three (3) years experience in a leadership role with or without direct reports.
• Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum eight (8) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.

Preferred Qualifications:

• Two (2) years experience delivering presentations to senior management.
• Four (4) years experience setting up data architectures.
• Three (3) years project management experience.
• Three (3) years deep learning experience.
• Doctorate degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
• Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science