At Associated Bank we strive to create an inclusive culture where different perspectives are valued and recognized as strengths critical to our success. If you thrive in an environment where your growth and development are encouraged and supported, then Associated Bank may be the right place for you.

This position is not eligible for Visa sponsorship.

Candidates located in WI, IL or MN are strongly preferred. 

We invite you to view the opportunity below. 

As a Senior Data Scientist, you will: 

• Be accountable for analyzing large, structured, and unstructured datasets in cloud environments, utilizing services like Snowflake, AWS S3, or Google Cloud Storage.
• Lead development of advanced predictive models to drive personalized banking experiences.  Develops and implements strategic quantitative analytic methods that obtain desired results, partnering with senior organizational leaders.
• Be involved in and oversee the building, testing, validating, and deploying of machine learning and AI models using cloud-based platforms such as AWS Azure, GCP, and Snowflake. Implements MLOps practices to streamline and automate model lifecycle management.
• Work independently, with minimal supervision, while serving as a subject matter expert in the area of Data Science and all related disciplines.
• Possess expert proficiency in contemporary visualization platforms such as Microsoft Power BI, Tableau, Google Data Studio, and Looker. Ability to create dynamic, interactive data visualizations that communicate complex findings and drive strategic business decisions. Skilled in translating technical and analytical data into clear, understandable visual formats for various audiences, including business leaders and stakeholders.
• Continuous Learning and Innovation: Stays updated with emerging technologies and methodologies in data science and machine learning, adapting quickly to a dynamic environment.  Coaches, mentors and delegates work to less experienced Data Scientists and colleagues on the Data & Enablement team.
• Responsible for managing complex projects and data science work, providing strategic guidance and implementing tactics and project plans to complete the work in established timelines.

Additional skills and competencies required:

• Advanced proficiency in establishing robust MLOps practices to automate and streamline machine learning pipelines from model development to deployment and monitoring. Familiarity with MLOps tools such as MLflow, Kubeflow, AWS SageMaker, Azure ML, or Google AI Platform to manage experiments, automate machine learning workflows, and ensure models are scalable and maintainable. Experience in version control of data and models, automated testing of machine learning models, continuous integration and deployment (CI/CD) for machine models, and monitoring model performance in production environments.
• Advanced business acumen and communication skills with strong ability to interact effectively with senior business leaders and IT stakeholders.
• Superior analytical skills with deep understanding in predictive modeling, clustering, classification, and optimization algorithms.
• Expert data processing skills with experience with SQL and NoSQL databases and demonstrated comfort navigating both relational and Hadoop-based data environments.
• Advanced proficiency with MLOps Capabilities.  Demonstrated ability to integrate and deploy AI/ML solutions into production environments using contemporary MLOps frameworks and cloud services. Highly skilled in using data and model version control systems, setting up automated model training and testing processes, and ensuring high standards of model accuracy and reliability in real-time applications.
• Highly skilled in using contemporary visualization platforms to translate complex data findings into understandable and actionable business insights.
• Capabilities in leading projects and managing teams within a data-driven, analytical environment.
• Leadership and mentorship skills with the ability to monitor and evaluate programs to ensure SLAs and business objectives are achieved.
• Excellent organizational and project management skills.

Education

• Master's Degree Quantitative, Analytical, STEM fields with minimum 6 years’ of experience. Required
• Ph.D. in Quantitative, Analytical, STEM fields with 2+ years’ of experience. Preferred

Required Experience

• 6-8 years experience Quantitative, Analytical, STEM fields.
• 6-8 years experience Machine Learning, Deep Learning, or Artificial Intelligence.
• 6-8 years experience Programming experience in Python, PySpark, R, or Scala.
• 0-2 years experience Cloud and Big Data Technologies: one (1) year of experience with major cloud platforms (AWS, Azure, GCP) and technologies such as Snowflake, BigQuery, or Redshift.

Preferred Experience

• 9+ years experience Quantitative, Analytical, STEM fields.
• 3-5 years experience in Banking/Financial Services.
• 3-5 years experience in marketing/consumer analytics.
• 3-5 years experience in designing and implementing models for next best products or customer experience enhancements in the banking or financial services sector is highly desirable.
• 3-5 years familiarity with MLOps tools and platforms, such as MLflow, Kubeflow, or AWS SageMaker. Experience with Agile software development methodologies.
• Proficiency in modern analytics and visualization tools such as Google Data Studio, Looker, or Microsoft Power BI.
• Experience with stream-processing systems like Kafka or Spark Streaming is a plus.

In addition to core traditional benefits, we take pride in offering benefits for every stage of life. 

• Retirement savings including both 401(k) and Pension plans. 

• Paid time off to volunteer in your community. 

• Opportunities to connect with others through our diversity-focused Colleague Resource Groups. 

• Competitive salaries with professional development and advancement opportunities. 

• Bonus benefits including well-being programs and incentives, parental leave, an employee stock purchase plan, military benefits and much more.  

• Personal banking, loan, investment and insurance benefits. 

Associated Bank serves more than 120 communities throughout Wisconsin, Illinois and Minnesota and we consider our colleagues critical to our continued success. See why our colleagues continually vote us a best place to work in the Midwest. Join our community on Facebook, LinkedIn and X. 

Compliance Statement

Associated Bank is an equal opportunity employer committed to creating a diverse workforce. We support a work environment where colleagues are respected and given the opportunity to perform to their fullest potential. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.

Fully complies with all applicable enterprise policies and procedures. Acts in compliance with all applicable laws and regulations as outlined in training materials, including but not limited to Bank Secrecy Act. Responsible for reporting suspicious activity to Financial Intelligence. Responsible to report all customer complaints as prescribed and procedure violations to management or HR.

Responsible to report ethical concerns as needed to Associated Bank’s anonymous Ethics Hotline.

Associated Bank provides additional assistance to individuals with disabilities throughout the application & interview process. Please contact leavesandaccommodations@associatedbank.com if you need an accommodation at any time during the interview process.

Associated Banc-Corp is an Affirmative Action and Equal Opportunity Employer. Associated Banc-Corp participates in the E-Verify Program. E-Verify Notice English or Spanish. Know Your Right to Work English or Spanish.

Associated Bank is Pay Transparency compliant.