Lead Data Scientist

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
• 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.

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.
• 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.