Senior Data Analyst

4 weeks ago


Leavenworth, Kansas, United States CommunityAmerica Credit Union Full time
Job Summary

We are seeking a highly skilled Senior Data Scientist to join our team at CommunityAmerica Credit Union. As a key member of our analytics team, you will play a pivotal role in shaping our data strategy and driving data-driven decision-making processes.

The ideal candidate will have a strong background in data science, excellent interpersonal skills, and a passion for innovation. You will collaborate with cross-functional teams, leverage advanced analytical techniques to solve complex business problems, and help to mentor junior members of the analytics team.

Key Responsibilities:

  • Collaborate with stakeholders to identify business challenges and opportunities that can be addressed through data science.
  • Design, develop, and implement advanced statistical models and machine learning algorithms to extract insights from large datasets.
  • Oversee the end-to-end data science project lifecycle, from data collection and preprocessing to model deployment and monitoring.
  • Communicate complex analytical concepts and results to non-technical stakeholders in a clear and concise manner.
  • Mentor junior analysts and data scientists, providing guidance and support in developing analytical models and solutions.
  • Stay abreast of the latest industry trends and advancements in data science and incorporate them into the team's work.
  • Collaborate with IT and data engineering teams to integrate data science solutions into existing systems and workflows.

Requirements:

  • Undergraduate or advanced 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.
  • 6-10 years' experience in developing, deploying, and managing analytical and machine learning models in a production environment.
  • Proven track record of successfully leading data science projects from conception to completion.

Preferred Qualifications:

  • Data science experience in the financial/banking sector.
  • Experience with development tools, including Jupyter, PyCharm, VS Code, OpenAI/ChatGPT, Azure DevOps, Jenkins, and Docker.
  • Experience with Microsoft Azure cloud environment, leveraging ADLS, SQL Server, Cosmos, Azure OpenAI, Cognitive Search, Databricks, and AKS.


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