Data Scientist - Remote
About The Company Connexus Credit Union is a member-focused cooperative serving individuals across all 50 states. As a trusted financial institution, we prioritize returning profits to our member-owners through high-yield checking accounts, deposit products, and competitive loan rates. Our organization adopts a remote-first approach, with the majority of our employees residing in the upper Midwest, fostering a flexible and inclusive work environment. We are committed to collaboration and high performance to achieve excellence in service delivery. Our holistic approach to employee development emphasizes personal and professional growth, ensuring our team members thrive both inside and outside of work. Recognized as a leading employer, Connexus offers an extensive benefits package, including paid time off, retirement plans, comprehensive health coverage, tuition reimbursement, and ongoing learning opportunities. We take pride in sharing our success with our employees and the communities we serve. About The Role We are seeking a highly skilled Data Scientist to join our dynamic team. This role involves leveraging data to solve complex business problems and support strategic decision-making. The successful candidate will collaborate with various departments to identify opportunities, develop predictive and prescriptive models, and translate data from Snowflake and other sources into actionable insights. A significant aspect of this role includes expanding our conversational analytics capabilities and integrating AI solutions to enhance member and employee experiences. The ideal candidate is curious, detail-oriented, and motivated by making a tangible impact on the organization. You will play a pivotal role in building innovative data products, conducting exploratory analysis, and communicating findings effectively to both technical and non-technical stakeholders.
Qualifications
Bachelor's degree in data science, applied mathematics, statistics, or related field Minimum of 5+ years of experience in a data scientist role At least 1+ year of experience working with stakeholders and cross-functional teams Proficiency in Snowflake, Python, R, SQL, and basic machine learning techniques Experience applying statistical modeling, machine learning algorithms (supervised & unsupervised), and natural-language processing (NLP) to business problems Strong data visualization skills using tools such as Tableau, Power BI, or similar Excellent communication skills with the ability to explain complex concepts to non-technical audiences Ability to analyze data rapidly and generate actionable insights Experience mentoring data analysts and collaborating with data engineers and analysts Knowledge of data quality management, feature engineering, and experimental analysis Understanding of data governance policies and compliance standards such as the Bank Secrecy Act
Responsibilities
Develop and implement data science solutions utilizing machine learning, AI, statistical, and quantitative modeling techniques to deliver predictive and prescriptive analytics Manage complex data from diverse sources, applying statistical, mathematical, and business analysis skills Create visualizations and dashboards to effectively communicate data insights and predictive outcomes Participate in data extraction, cleansing, feature engineering, exploratory analysis, and data quality assessments Collaborate with cross-functional teams to design and deploy data products that create value for members and the organization Lead and execute data science projects, including enterprise initiatives, operational projects, and special studies Communicate project status, milestones, and results to stakeholders clearly and effectively Facilitate data discovery sessions, gather requirements, and translate needs into technical work plans Validate hypotheses, identify growth opportunities, and recommend process improvements through scientific analyses and experimentation Develop quality assurance plans and oversee testing procedures to ensure data integrity and model performance Adhere to data science best practices, documentation standards, and organizational policies Prepare comprehensive reports and presentations to inform strategic decisions and address organizational challenges Support data engineering and analysis teams, providing mentorship and technical guidance Foster strong relationships with business and IT stakeholders to align data initiatives with organizational goals Identify opportunities to enhance department efficiency and reduce operational costs through process improvements Ensure compliance with all relevant federal regulations, including the Bank Secrecy Act Benefits 25 days of paid time off and 10 paid holidays 16 hours of paid Volunteer Time Off annually 401K retirement plan with up to 6% employer match Comprehensive health, dental, and vision insurance with multiple plan options Health Savings Account with generous employer contributions Employer-paid life insurance, short-term, and long-term disability coverage Tuition reimbursement ranging from $4,000 to $7,000 per year Robust learning and development programs, including an annual professional development stipend Equal Opportunity Connexus Credit Union is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. We adhere to all applicable federal, state, and local laws regarding equal employment opportunity and affirmative action.