What are the responsibilities and job description for the Senior Data Scientist position at Associated Bank?
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.
To be considered for an interview, please make sure your application is full in line with the job specs as found below.
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 :
Education :
Required Experience :
Preferred Experience :
In addition to core traditional benefits, we take pride in offering benefits for every stage of life.
J-18808-Ljbffr
