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Data Scientist
  • Python
  • SQL
  • Machine Learning
  • Database
  • Azure
CommunityAmerica Credit Union
Lenexa, KS 66219
149 days ago
Summary:The Data Scientist will report into a Data Analytics department. This department is the primary user of the analytical and data warehouse environments that are maintained by the Data Engineering team. By using a variety of data sources and methods, the data scientist will develop solutions to attribute, predict, and influence outcomes in current and future account holders.Duties & Responsibilities:
  • Partner with business to identify opportunities and develop data-driven solutions to improve business outcomes.
  • Partner with internal data services team to ensure proper data is captured in analytical environments, establish data pipelines, implement models, and monitor outcomes.
  • Partner with Innovation and Digital transformation team to build new digital products and analytic models for assessing the effectiveness of digital solutions to improve user experience.
  • Work in Microsoft Azure and SQL Server environments to develop models.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop and experiment with new algorithms and models to maximize long-term member value.
  • Leverage data and insights to inform decision making on some of the most critical topics around acquisition, retention, personalization, and product development.
  • Creatively synthesize internal data (bank account information, demographic information) with outside data sources to develop meaningful insights.
  • Present findings and solutions to various levels of management.
  • Stay updated with industry and data science technology trends.
  • Perform other duties as assigned.
Requirements:Education and Experience Requirements:
  • Undergraduate degree in Mathematics, Statistics, Computer Science, or a related field
  • Knowledge and experience in applying statistical and machine learning methods including regression, classification, clustering, decision trees, and neural networks
  • 3-5 years experience in developing, deploying, and managing analytical and machine learning models in a production environment
Required Knowledge, Skills and Abilities:
  • Ability to design, deploy, monitor, and optimize algorithms and models
  • Proven experience in designing and developing machine learning and AI models
  • Proficiency in a statistical programming language such as Python or R
  • Familiarity and experience working with relational databases and SQL
  • Natural sense of curiosity; being able to self-motivate and proactively find unique or actionable insights from data
  • Ability to understand business needs and become a leader in enabling data driven business decisions while also having the ability to work successfully in a team environment
  • Comfortable working in a dynamic environment with multiple concurrent projects
  • Strong communication skills
Preferred Knowledge, Skills and Abilities:
  • Familiarity with unstructured and non-relational data stores
  • Familiarity with Azure environment (DevOps, ADLS, Data Bricks)
  • Master’s degree in Mathematics, Statistics, Computer Science, or a related field
  • Data science experience in the banking sector

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