Corporate Strategy - Data Scientist - Business Analytics

About the position

The Data Scientist provides analytical support to our business partners. You will work closely with credit union personnel and business partners to transform data into insights that improve and advance our products, services and/or business processes. Also, you will help guide strategic development with leadership by gathering, preparing, and analyzing information to identify trends, predict future patterns, and provide data driven recommendations. This is a senior level professional with Golden 1 Credit Union, and you will work with leadership or other analysts on highly complex analysis that impact corporate strategy using our data. As a thought leader in the analytics space, you will function as a subject matter and technical expert amongst the team and business partners. Projects will require the use of critical thinking and communication to complete, along with technical skills including Python, SQL, and PowerBI to manipulate, model, and present data.

Responsibilities

• Serve as a senior data and analytics professional to identify, integrate, and create new data science pipelines and work closely with data engineering team in the development of new data products
• Maintain a repeatable and scalable analytics solution framework that enables operationalization of complex data science models
• Apply machine learning techniques to solve relevant business problems in domains such as segmentation, next best product, and targeted campaigning
• Partner with stakeholders such as product managers, data engineers, and analysts to design experiments and minimum viable products using business defined use-cases
• Create data stories from disparate and raw data sources that enable data driven decision making
• Mentor junior analysts on technical problem solving and analytics best practices
• Develop robust executive level data visualizations
• Proactively review business needs and suggest research projects that will add value to the Credit Union
• Manage required ad hoc report preparation, analysis, and presentation to management as reference for strategic decisions, committee review and other information requests
• Ensure compliance with applicable standards, rules, regulations, and systems of internal control
• Review and maintain an understanding of current and future economic landscape and internal and external influence

Requirements

• Requires a bachelor's degree in area of specialty (Computer Science, Mathematics, Statistics, Business Analytics, Data Science, or similarly quantitative/analytical degrees)
• Equivalent work experience with required knowledge/skills may be substituted for degree
• Master’s degree in area of specialty (Computer Science, Mathematics, Business Analytics, Data Science, or similarly quantitative/analytical degrees) preferred
• 7+ years of analytical and data management experience including: 3+ years of data engineering/ELT/ETL experience in tools such as (dbt, Fivetran, Matillion, etc.) with modern data tools and architectures such as (Snowflake, databricks, Big Query, Redshift, etc.)
• 3+ years of experience programming in Python, or R
• 3+ years of professional experience applying quantitative research in optimizing human decisions and supporting production ML models
• 3+ years of experience using major machine learning frameworks (e.g. Scikit-learn, Pytorch, TensorFlow, and Keras), algorithms (e.g., CNN, GAN, LSTM, RNN, etc.) and techniques (classification, regression, clustering, etc.)
• 3+ years of experience developing data visualizations in tools such as (Power BI, Tableau, Looker, etc.)
• Demonstrated proficiency in data architecture, data warehousing, and database design
• Knowledge of commonly used concepts, practices, and procedures within credit union operations
• Financial Institution experience preferred

Nice-to-haves

• Data Analytics Certification like: Certified Analytics Professional (CAP), IBM Data Science Professional Certificate, Datacamp Analyst Certification, Microsoft Data Analyst Associate Certification, SQL Certification, or other graduate work in the fields of finance, business intelligence or data analytics.

Benefits

• 401k
• health_insurance
• dental_insurance
• vision_insurance
• paid_holidays
• tuition_reimbursement
• flexible_scheduling
• professional_development