Data Scientist

About the role

WSECU is looking for a Data Scientist to synthesize and leverage our many datasets in order to enhance the products and services we offer to make our members’ financial lives easier. You’ll be responsible for continually challenging our current best thinking on how our products and services are meeting our members’ financial needs. This is a unique opportunity to join a new, multidisciplinary team of creative and passionate individuals determined to change the face of the Credit Union industry. We are focused on the Credit Unions agenda, and work on high-impact projects utilizing big data analytics and machine learning to improve the financial well-being of our members.

Responsibilities

• Work with end-users and analysts to model complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, and visualization techniques
• Model and frame business scenarios that are meaningful and which have direct impact on critical business processes and/or decisions
• Interview end-users to determine requirements for data, reports, analysis, and performance
• Help build WSECU’s capability and strategy (short term and long term) to understand and assess new products, and evaluate the success of existing products and services
• Distill insights from member data that address key business challenges and provide actionable recommendations
• Solve business problems, and find patterns and insights within structured and unstructured data
• Develop and communicate data insights and recommendations in a clear and concise manner (i.e., data-driven change management)
• Provide expertise on mathematical concepts for the broader applied Analytics and Insights team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization

Requirements

• Master's Degree in one of the following areas: econometrics, operations research, applied statistics, machine learning, hard science or engineering, or related quantitative discipline
• Demonstrated understanding of the financial and economic levers that impact WSECU’s business performance
• Strong technical, analytical, and problem-solving skills and the ability to effectively utilize techniques to derive insights
• Demonstrated ability to communicate operational and technical issues to a wide variety of audiences at all organizational levels – must have strong data storytelling abilities
• Expertise in one of the following: econometric modeling; statistical and predictive modeling; machine-learning approaches such as clustering and classification techniques, recommendation and optimization algorithms
• Well-developed oral and written communication skills including the writing of executive and board-level reports
• Ability to communicate effectively to many levels of staff internally as well as outside individuals and vendors, presenting ideas in business-friendly and user-friendly language

Qualifications

• Experience with programming and/or scripting languages (Python strongly preferred)
• Postgraduate school experience delivering world-class data science outcomes (2+ years preferred)

Pay

Competitive base pay: $113,119.47 - $169,679.21 annually, dependent on relevant qualifications, plus an annual discretionary incentive plan. The target starting pay for this position is $113,119.47 - $141,399.34 annually, typically within the first half of the range. Actual offers will be based on individual qualifications relevant to the role.

Schedule

• Monday through Friday, 8:30 am to 5:30 pm
• Full-time, minimum 40 hours per week
• Hybrid position blending in-office and remote work (onsite two occasions per week)
• Exempt position with scheduling flexibility to meet service needs

Working from home/hybrid requirements:

• Reliable, high-speed home internet connection
• Private, confidential workspace, away from distractions and other people
• Suitable desk/surface and desk chair

Benefits

• Medical, Dental, Vision, and Life Insurance with premiums options covered by WSECU
• General leave and sick leave accrual for full-time regular employees (monthly basis)
• General leave accrual for part-time employees (monthly basis)
• 11 Paid Holidays
• Employer-paid Long Term Disability & Long-Term Care plan for full-time employees
• Employer-paid Long Term Care plan for part-time employees
• 401(K) with 8.5% contribution by WSECU (begins 1st quarter after 1 year of service)
• Paid Volunteer Leave
• Tuition Assistance
• Employee Assistance Program & Employee Discounts