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Data Scientist
Connexus Credit Union. Develop data science solutions using machine learning, artificial intelligence, statistical and quantitative modeling for predictive and prescriptive analytics .
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Develop data science solutions using machine learning, artificial intelligence, statistical and quantitative modeling for predictive and prescriptive analytics
- Apply statistical, mathematical, predictive modeling, and business analysis skills to complex data from varied sources
- Create visualizations and dashboards displaying data-backed insights and predictive results
- Perform data extraction and cleansing, feature engineering, machine learning, exploratory analysis, data quality analysis, and experimental analysis
- Partner with teams to create and deploy Data Products that deliver member or business value
- Execute enterprise, run-the-business, and special data science and analytics projects
- Communicate project status regarding milestones and schedule commitments
- Lead data discovery sessions and document needs as work requirements
- Elicit requirements through interviews, document analysis, requirements sessions, data descriptions, use cases, scenarios, and data analysis
- Validate hypotheses, identify growth opportunities, and influence process improvement through analyses, experimentation, and scientific methods
- Develop quality assurance test plans and direct quality assurance testing
- Follow data science best practices, documentation requirements, policies, procedures, and BT standards
- Prepare and deliver reports, recommendations, or alternatives addressing organizational trouble areas
- Collaborate with data engineers, analysts, and team members on data-driven projects
- Mentor data analysts
- Build collaborative strategic partnerships across business and IT
- Improve department efficiency and reduce expenses by streamlining operations
- Comply with applicable Federal Regulations, including the Bank Secrecy Act
Requirements
What you’ll need- 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 and 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 communication skills, including the ability to simplify recommended action plans from complex data science projects
- Ability to understand and analyze data and rapidly generate actionable results
- Ability to influence and communicate complex analysis and insights to a non-technical audience
- Ability to comply with Federal Regulations, including the Bank Secrecy Act
Benefits
Comp & perks- 25 days of paid time off and 10 paid holidays
- 16 hours of paid Volunteer Time Off
- 401K Retirement with up to 6% employer match
- Excellent Health, Dental, Vision insurance, including multiple plan options
- Health Savings Account with generous employer contributions
- Employer paid Life insurance, Short-Term and Long-Term Disability
- Tuition Reimbursement from $4,000 - $7,000 per calendar year
- Robust Learning and Development program
- Annual professional development stipend
- Remote-first work arrangement