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.

ASSOCIATED BANK REQUIRES YOU TO DIRECTLY REPRESENT YOURSELF AND YOUR OWN EXPERIENCES DURING THE RECRUITING AND HIRING PROCESS.

The Senior Data Scientist guides and influences a team of data scientists, business intelligence analysts, and data engineers contributing independently to solve highly complex business problems. The ideal candidate has expert depth of knowledge and expertise in quantitative analytic methods, data management, visualization, and programming skills suitable to drive data driven decisions. This position requires advanced research, advanced model development, models advanced implements, and validates complex algorithms (predictive and prescriptive) to analyze diverse sources of data to achieve targeted outcomes. This role actively influences timelines and expectations while designing and implementing new data modeling processes used to address complex, high-profile projects.

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.

Please refer the Job description for details