Lead Data Scientist
Apply NowCompany: Pitisci & Associates
Location: Tampa, FL 33647
Description:
LEAD DATA SCIENTIST
DIRECT HIRE - USC/GC
NO THIRD PARTIES CONSIDERED
Salary Range: 85-120K
Please include your current location and Visa status with your resume or you will not be considered.
The Lead Data Scientist is responsible for driving efficiency, operational excellence, and enhancing both member and employee experiences within the contact center. This role will lead a team of business analysts and data analysts to enable data-driven decisions, develop analytics models, and leverage large volumes of data across sources to support business goals.
Responsibilities
Lead the analytics team, including business analysts and data analysts, focusing on methodologies to improve call center operations
Gather, analyze, and interpret call center data and operational processes to identify opportunities for improvement and provide actionable insights
Prepare and present reports to management, utilizing data sources to uncover relevant relationships and turn them into actionable insights
Develop and maintain report types, including tabular, drill-down, matrix, and charts
Test and validate reports to ensure high quality and accuracy
Create reports using tools like Report Builder, Microsoft SQL Server Reporting Services (SSRS), and Microsoft SQL Server Management Studio (SSMS)
Write complex SQL queries to extract information, trends, or patterns contained in the data
Validate results of SQL queries with business analysts
Provide data-driven intelligence to key stakeholders throughout the business
Conduct analysis and routine KPI reporting to support business operations
Develop and maintain dashboards to continually assess the contact center's operational performance against enterprise objectives
Perform correlation analyses and R2 testing to identify relationships and trends within datasets
Collaborate and coordinate analytic efforts with the larger community at the organization
Support the development and implementation of strategic business solutions
Perform preliminary analysis of operational data insights and identify potential opportunities for operational improvements
Assist the call center team with analyzing operational process inefficiencies and developing improvement opportunities
Acts as subject matter expert in area of expertise
Leads the work of lower-level employees. Coaches, reviews, and delegates work items. May assist with other personnel activities of staff such as performance appraisals and training.
Cultivates strong working relationships and builds trust among team members
Qualifications
Bachelor's degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, Information Science, Data Analytics, or a preferred related field (a comparable combination of work experience, certifications, and training may be substituted for education requirements).
4+ years of industry experience as a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role. Contact center analytics experience highly desired.
4+ years of advanced Excel experience.
2+ years of Structured Query Language (SQL) and SSRS report writing.
2+ years of experience with R/ Python (Pandas, NumPy, SciPy libraries), VBA, and shell scripting.
2+ years of experience with Business Intelligence tools such as PowerBI, Tableau, Qlik preferred.
Experience with data bricks is preferred.
Strong knowledge of descriptive and predictive statistical tools.
Able to prioritize tasks, deal effectively with competing and changing priorities, and meet deadlines.
Accurate, detail-oriented, and organized.
Able to analyze and resolve difficult and often complex problems and situations.
Excellent knowledge and understanding of Credit Union products, services, policies, and procedures pertinent to the job.
Excellent knowledge and understanding of regulatory compliance necessary to successfully perform job responsibilities.
Excellent verbal and written communication skills and interpersonal skills in order to interact professionally and effectively with members, staff, vendors, and government regulators. Able to influence others regarding policies, practices, and procedures.
Works with limited oversight from manager.
DIRECT HIRE - USC/GC
NO THIRD PARTIES CONSIDERED
Salary Range: 85-120K
Please include your current location and Visa status with your resume or you will not be considered.
The Lead Data Scientist is responsible for driving efficiency, operational excellence, and enhancing both member and employee experiences within the contact center. This role will lead a team of business analysts and data analysts to enable data-driven decisions, develop analytics models, and leverage large volumes of data across sources to support business goals.
Responsibilities
Lead the analytics team, including business analysts and data analysts, focusing on methodologies to improve call center operations
Gather, analyze, and interpret call center data and operational processes to identify opportunities for improvement and provide actionable insights
Prepare and present reports to management, utilizing data sources to uncover relevant relationships and turn them into actionable insights
Develop and maintain report types, including tabular, drill-down, matrix, and charts
Test and validate reports to ensure high quality and accuracy
Create reports using tools like Report Builder, Microsoft SQL Server Reporting Services (SSRS), and Microsoft SQL Server Management Studio (SSMS)
Write complex SQL queries to extract information, trends, or patterns contained in the data
Validate results of SQL queries with business analysts
Provide data-driven intelligence to key stakeholders throughout the business
Conduct analysis and routine KPI reporting to support business operations
Develop and maintain dashboards to continually assess the contact center's operational performance against enterprise objectives
Perform correlation analyses and R2 testing to identify relationships and trends within datasets
Collaborate and coordinate analytic efforts with the larger community at the organization
Support the development and implementation of strategic business solutions
Perform preliminary analysis of operational data insights and identify potential opportunities for operational improvements
Assist the call center team with analyzing operational process inefficiencies and developing improvement opportunities
Acts as subject matter expert in area of expertise
Leads the work of lower-level employees. Coaches, reviews, and delegates work items. May assist with other personnel activities of staff such as performance appraisals and training.
Cultivates strong working relationships and builds trust among team members
Qualifications
Bachelor's degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, Information Science, Data Analytics, or a preferred related field (a comparable combination of work experience, certifications, and training may be substituted for education requirements).
4+ years of industry experience as a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role. Contact center analytics experience highly desired.
4+ years of advanced Excel experience.
2+ years of Structured Query Language (SQL) and SSRS report writing.
2+ years of experience with R/ Python (Pandas, NumPy, SciPy libraries), VBA, and shell scripting.
2+ years of experience with Business Intelligence tools such as PowerBI, Tableau, Qlik preferred.
Experience with data bricks is preferred.
Strong knowledge of descriptive and predictive statistical tools.
Able to prioritize tasks, deal effectively with competing and changing priorities, and meet deadlines.
Accurate, detail-oriented, and organized.
Able to analyze and resolve difficult and often complex problems and situations.
Excellent knowledge and understanding of Credit Union products, services, policies, and procedures pertinent to the job.
Excellent knowledge and understanding of regulatory compliance necessary to successfully perform job responsibilities.
Excellent verbal and written communication skills and interpersonal skills in order to interact professionally and effectively with members, staff, vendors, and government regulators. Able to influence others regarding policies, practices, and procedures.
Works with limited oversight from manager.