Senior Data Scientist

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.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.This position is not eligible for Visa sponsorship.Candidates located in WI, IL or MN are strongly preferred.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.Continuous Learning and Innovation: Stays updated with emerging technologies and methodologies in data science and machine learning, adapting quickly to a dynamic environment.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.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.Advanced proficiency with MLOps Capabilities.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 in Quantitative, Analytical, STEM fields with minimum 6 years’ of experience. RequiredPh.D. in Quantitative, Analytical, STEM fields with 2+ years’ of experience. PreferredRequired Experience:6-8 years experience in Quantitative, Analytical, STEM fields.6-8 years experience in Machine Learning, Deep Learning, or Artificial Intelligence.6-8 years experience in Programming experience in Python, PySpark, R, or Scala.0-2 years experience in Cloud and Big Data Technologies.Preferred Experience:9+ years experience in 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.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.

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