Leads small and participates in large data analytics project teams by serving as a technical lead for analytics projects; working with project teams and
business partners to determine project goals; developing contingency plans for data analysis; determining modeling based on business needs;
directing the analysis of data; gathering data and developing reports as needed; utilizing business knowledge to ensure data supports project goals;
analyzing data based on identified variables; reviewing data results to ensure accuracy; and communicating results and insights to the project team
and business partners.
Presents data insights and recommendations to key stakeholders by developing insights based on data analysis; applying analytical results to project
goals; identifying trends and key insights; translating results into business actions; and presenting insights and recommendations to key stakeholders.
Participates in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products,
project documentation, process flowcharts) to ensure solutions are leveraged for future projects; building and maintaining a library of reusable
algorithms for future use; ensuring developed code is documented; and coaching and mentoring analysts across the division and project teams.
Develops analytical models to drive analytics insights by gathering data from internal and external sources; evaluating data usability based on project
goals; synthesizing data into large datasets to support project goals; developing statistical models and computational algorithms to analyze data;
utilizing the analytics project lifecycle process to drive predictive modeling; coding, testing, and maintaining analytical software tools; identifying
trends, patterns and discrepancies in data; training statistical models for replication for future projects; and presenting data insights and
recommendations to key stakeholders.
Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and
guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and
building commitment for perspectives and rationales.
Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business
needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on
i mprovement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.
Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by
incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others
with how to apply these in executing business processes and practices.
Background in Machine Learning
Experience with Python and Apache Spark
Experience with Fraud Detection would be a plus
Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Bachelor of Science and 2 years' data science experience OR Master of Science and 1 year's data science experience.
Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Bachelor's degree and experience in an analytics related field, Doctorate and experience in an analytics related field, Master's degree and experience in an analytics related field, SQL and relational databases (for example, DB2, Oracle, SQL Server), Statistical Programming Language
Bachelors: Analytics, Bachelors: Economics, Bachelors: Mathematics, Bachelors: Statistics, Doctorate: Analytics, Doctorate: Economics, Doctorate: Mathematics, Doctorate: Statistics, Masters: Analytics, Masters: Economics, Masters: Mathematics, Masters: Statistics
Business Analytics - Certification, Data Mining - Certification, Statistical Analysis - Certification