CO-OP Financial Services is bringing digital transformation to the credit union movement. We?re creating innovative technology solutions that help not-for-profit credit unions best serve their members and compete with the big banks. As a result, our world-class team is growing faster than ever! If you?re passionate about technology and want to be part of a purpose-driven organization, this is an exciting opportunity to provide real value and help shape the future of human-centered financial services.
We are seeking a talented Data Scientist Lead to work within a team environment, help advance skills of other Data Scientist and BI Developers, and provide guidance to the business through informational insights taken from vast amounts of data. These insights will then further enable the business to make smarter decisions. The Data Scientist Lead applies data mining techniques, mathematical and statistical analysis, and machine learning algorithms to large data sets in order to provide solutions for product and process optimization and further, tests the effectiveness of different scenarios to help determine the best course of action.
What You Can Look Forward to
Collaborates with stakeholders throughout the business to understand existing processes and identify opportunities for leveraging data to drive solutions.
Communicates with CO-OP stakeholders at all levels including senior level executives and clients regarding CO-OP?s reporting strategy, solutions and roadmap.
Provides oversight and guidance when required to other business intelligence and data science team members. Recommends training opportunities to further advance individuals and the CO-OP business intelligence platform.
Performs data mining and analysis from a variety of databases to help build solutions for optimizing product development, client card portfolios, and business and operational strategies.
Designs and builds custom AI driven data models and algorithms applied to data sets to further optimize products and processes.
Performs exploratory data analysis to determine effectiveness and accuracy of data to be applied to models and algorithms as well as accuracy of new data sources.
Develops and performs A/B testing framework to determine model quality and validity.
Interprets data analysis, model and algorithm results to business and technical teams to facilitate decisions.
Coordinates with business and technical teams to implement models and provide monitoring and feedback to business of results.
Designs and builds predictive modeling to increase and optimize credit union card portfolios, generate revenue opportunities, prevent client attrition, optimize portfolio segmentations for right-time offers, and other business outcomes.
Develops processes and tools to monitor and analyze model performance and data accuracy.
Follows industry standards and advances on data driven technologies and tools and further recommend those that will help further advance CO-OPs data science practice.
Adhere to Agile principles and philosophies (Scrum or Kanban, as applicable) in fulfillment of the role.
Collaborate within the direct team in accordance with Team Agreement, Definition of Ready, and Definition of Done.
Work as a cross-functional team member in an Agile setting to help complete and deliver the team commitments.
Collaborate across teams and across business areas in the spirit of an Agile mindset.
Fulfill the role in the spirit of the Agile Manifesto, with emphasis on delivery of incremental value with frequent iterations and feedback loops.
Responsible for reporting risks that are identified to the appropriate team and/or management. Additionally, responsible for managing, monitoring and reporting risks within the scope of your work area, to include, but not limited to Information Security risks.
Actively supports our CO-OP culture and embraces our core values of Work as Partners, Communicate Openly and Honestly, Demonstrate Excellence and Champion Change in all interactions.
What You?ll Need to Succeed
MBA or PhD in Statistics, Mathematics, Computer Science, Advanced Analytics, or Data Mining. Specific data science or advanced analytics certificates combined with experience may be substituted.
7+ years? experience as a Data Scientist.
As a lead position, this person will have strong experience and exceptional skills in data mining, data analysis, data tools, design, build and implementation of models, algorithms as well as creating, running and interpretation of simulations.
Experience using web services for data science such as Azure, AWS, Google or Redshift.
Expert knowledge and strong experience using statistical computer languages to manipulate data, develop insights from large data sets and make recommendations on actions. Languages such as R, Python and SQL are essential.
Expertise and versatility in procedural languages such as C, C++, Java, and MATLAB.
Advanced knowledge of different machine learning techniques such as clustering, decision tree learning, Na ve Bayes, artificial neural networks, supervised classification and knowing when to apply each, their advantages and drawbacks.
Advanced knowledge of advanced statistical techniques such as various regression modeling (linear, logistic, polynomial, etc.), various forecasting methods, distribution properties and experience with applications.
Expert knowledge of various data mining techniques such as tracking patterns, classification, association, outlier, clustering, regression and prediction for examples.
Strong knowledge and experience with data visualization tools such as Power BI, Tableau, GGPlot and presenting for stakeholders.
Strong knowledge of distributed/computing data tools such as Map/Reduce, Hadoop, Hive and Spark.
Proficient in working with various types of NoSQL databases (document, column, graph, key-value stores, etc.).
Advance knowledge and experience of analyzing data from 3rd party providers and further combining with other data sources to draw inferences, correlations, clusters and or scenario analysis.
General knowledge of PCI standards and regulations.
General knowledge and experience working within an agile environment.
General knowledge of MS office tools Word, Excel, PowerPoint, Visio and Outlook.
Strong problem solving skills with an emphasis on consumer back-office tools and product development.
Excellent with verbal, written and graphic communication skills. Ability to tell a story with data and data visualizations.
Excellent understanding of machine learning techniques and algorithms.
Highly skilled with R and other data science toolkits and supporting MPP data engines such as GreenPlum.
Highly detailed-oriented in data validation, A/B testing, and monitoring of model or algorithm results.
Ability to be skeptical of findings, correlations, assumptions and overall conclusions to ensure proper analysis and evaluation is done prior to submission to stakeholders.
Highly innovative with the ability to leverage data to produce offerings that solve for inefficiencies and distinguish product offerings.
Ability and passion to consult with business stakeholders as well as lead and help team members grow in knowledge and skill sets.
Ability to troubleshoot more complex data integrity issues involving multiple data sources including 3rd party data, and further analyze data for validity and completeness.
Why Join CO-OP?
CO-OP is committed to fostering a workplace where every employee feels valued, respected, and connected. We are dedicated to understanding, attracting and engaging a diverse workforce where every employee can live up to their value; ensuring that our employee base reflects the consumers we serve. The result of this effort is an inclusive environment where diverse talent thrives. You will be part of an organization that focuses on a strong culture and embodies the credit union movement philosophy of People Helping People. CO-OP?s commitment to reflecting our own core values and purpose extends beyond how we serve our clients and the products that we deliver.
With more than 35 years of industry leadership, CO-OP Financial Services is the largest, most comprehensive credit union service organization in the nation. CO-OP serves as THE credit union technology engine, bringing payments solutions, engagement services and strategic counsel to help credit unions optimize member experiences to consistently provide seamless, personalized multi-channel offerings, while delivering secure, sophisticated fraud mitigation service.
CO-OP serves more than 3,000 client credit unions, with 60 million debit and credit cardholders, nearly 30,000 surcharge-free ATMs and more than 5,600 shared branches nationwide. Our vast technological ecosystem facilitates more than 6.5 billion transactions every year and equips credit unions of all sizes to deepen member engagement and prosper in the fast-paced world of fintech.
Fun, challenging and, collaborative work environment with passionate colleagues that care deeply about the intersection of technology and human-centered financial services.
Great Work/Life Benefits ? Paid Time Off (PTO), Maternity, Parental, Family Care, Adoption Leave Programs, Community Volunteer Time Off, and 10 Paid Holidays.
Health benefits ? medical, dental, & vision plus wellness programs and gym reimbursements.
401K with generous company match.
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