Data Scientist

Schedule: Mon–Fri (in-office and Work@Home options available). Must reside in one of the following states: AZ, CA, HI, ID, IA, MI, NV, NH, NJ, NM, OR, TN, TX, UT, VT, VA, or WA.

About the role

This position is responsible for aiding operational areas of the organization by leveraging both internal and external data assets to achieve business insights, gain deeper understanding of member needs, and enhance tactical and strategic decision making.

Responsibilities

• Collaborate with business segments to extract analytical, behavioral, and predictive insights from ever-increasing data resources.
• Apply progressive statistical, programmatic, and analytical approaches to business hypotheses to gain deeper understanding of available data.
• Aid business owners in the interpretation of the results of models and analysis.
• Understand both the technical and business aspects of Data Science and business analytics; translate analytical needs into actionable resources.
• Perform full Data Science life-cycle development within various analytical architectures, including piloting models, A/B testing, underlying data design, and model operationalization using agile methodologies.
• Design, develop, and maintain analytical models that will be placed into operation.
• Explore internal and external data sources to identify useful structures within the data previously unknown to the business.
• Utilize relational and dimensional modeling to facilitate data wrangling, model operationalization, and data exploration.
• Adhere to corporate reporting policy and controls to ensure accuracy, timeliness, and confidentiality of corporate data and reports.
• Work with users from all levels of management to develop and implement operational and strategic analytics.
• Perform data mining, statistical analysis, and operationalization of analytical models to drive real business value.

Duties

• Uncover and operationalize underlying structure within the data into tangible business value utilizing machine learning.
• Develop models, processes, and structures necessary to support analytic needs using machine learning in 4th and 3rd generation computer languages.
• Implement various analytical models, such as churn, future value, or recommender systems, in collaboration with the analytics information manager and other staff.
• Build a small reporting layer on top of analytical models to ensure accountability and insight into model outcomes and impact.
• Pilot and build proof-of-concepts to demonstrate and test business value of models.
• Extract operational, performance, statistical, and other data from various information systems.
• Educate and demystify analytical models for business users.
• Develop presentations and trainings for business users to increase understanding of statistics and model implementation.
• Maintain the department as the competency center for analytics within America First Credit Union.
• Interpret report results in collaboration with the analytics information manager.
• Analyze, interpret, and summarize analytical model results.
• Participate in the interpretation and context of complex business reports.
• Run what-if simulations based on varying factors and assumptions.
• Identify exceptions, positive and negative trends, and measures that are out of tolerance with established limits and ranges.
• Identify potential concerns based on projections of current trends.
• Perform statistical and financial analysis of data.

Requirements

• Prior experience developing business analytical solutions in large or midsize companies.
• Ability to manage multiple tasks simultaneously and react to problems quickly.
• Ability to translate concepts and directions into practical solutions.
• Experience in reporting on business analytical solutions.
• Strong presentation skills.
• Programming experience with 4th generation and 3rd generation computer languages such as Python and R.
• Experience with Linux.
• Experience with data mining models (e.g., Linear Regression, Random Forest, Support Vector Machines).
• Development experience with relational database structures, multi-dimensional databases, and data warehouse design architecture.
• Strong SQL abilities; experience with both Oracle and Microsoft desired.
• Ability to develop, maintain, review, and explain data models.
• Excellent verbal and written communication skills.
• Team player with a sense of humor and an understanding of nerdy references.
• Understanding of the financial services industry desired.
• Experience with dashboard design and delivery.

Qualifications

• Three or more years of experience in designing, developing, and implementing Data Science solutions.
• Master of Science in information technology, computer science, statistics, or related degree.
• Bachelor of Science degree in information technology, computer science, statistics, or related business degree with equivalent experience of 3 years.