Data Scientist

About the Role:

Responsibilities:

• Develops data science solutions that utilize machine learning, artificial intelligence, statistical and quantitative modeling to develop predictive and prescriptive analytics.
• Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex data from a variety of sources.
• Creates visualizations, including dashboards, to display data-backed insights and predictive results.
• Works across a wide range of related areas including data extraction and cleansing, feature engineering, machine learning, exploratory analysis, data quality analysis, experimental analysis.
• Partners with other teams to create and deploy Data Products that create member and/or business value.
• Executes data science and analytics projects, including, but not limited to enterprise projects, run-the-business, and other special projects.
• Participates in and communicates the status of projects with respect to milestones and schedule commitments.
• Leads data discovery sessions and documents needs in a way that can translate into work requirements for other team members.
• Elicits requirements using interviews, document analysis, requirements sessions, data descriptions and definition, use cases, scenarios, and data analysis.
• Validate hypotheses, identify growth opportunities, and influence direction for process improvement with analyses, experimentation or other scientific methods.
• Develops quality assurance test plans and direct quality assurance testing.
• Adheres to data science best practices, documentation requirements, and BT standards and guidelines.
• Prepares and delivers reports, recommendations, or alternatives that address existing and potential trouble areas across the organization.
• Adheres to data science policies and procedures.
• Works closely with data engineers, analysts, and team members to support data-driven projects.
• Mentors data analysts.
• Fosters business and IT relationships to understand key needs and form collaborative strategic partnerships.
• Seeks opportunities to improve department efficiency and reduce expenses by streamlining operations.
• Comply with all Federal Regulations as they pertain to your job duties including Bank Secrecy Act.
• Position Requirements:
• This position is Remote.
• Bachelor’s degree in data science, applied mathematics, statistics, or machine learning is Required.
• 5+ years of prior experience in data scientist role is Required.
• 1 + year of data science roles or equivalent experience including working with stakeholders is Required
• Experience applying statistical modeling, machine learning (ML/AI) algorithms for supervised & unsupervised learning, and natural-language processing (NLP) to business problems and goals is Required.
• Proficient in SnowFlake, Python, R, SQL, and basic machine learning is Required.
• Proficient in using data visualization tools. Excellent communications skills, including the ability to simplify recommended action plans from complex data science project is Required.
• Must be able to understand and analyze data and rapidly generate actionable results.
• Ability to influence and communicate complex analysis & insights to a non-technical audience.
• Connexus Credit Union's Employer Recognitions:
• 2026 Best Place to Work in IT, Computer World
• Equal Opportunity Employer/Disabled/Veterans/41 CFR 60–1.4, 41 CFR 60-1.35

Qualifications

• Bachelor’s degree in data science, applied mathematics, statistics, or machine learning is Required.