Associated Bank National
Senior Data Scientist
Associated Bank National, Rougemont, North Carolina, United States, 27572
Associated Bank National
Senior Data Scientist
Minneapolis ,
Minnesota
Apply Now
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. 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-focusedColleague Resource Groups. Competitive salaries with professional development and advancement opportunities. Bonus benefits including well-being programs and incentives, parental leave,anemployee stock purchase plan, military benefits and much more. Personal banking, loan, investmentand 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 onFacebook,LinkedInandX. 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... For full info follow application link. The employment policy of Associated Banc-Corp, and its subsidiaries and affiliates ("Associated") provides equal opportunity to all persons. We support a diverse and inclusive work environment where colleagues are respected, treated fairly, and given equal opportunities to perform to their fullest potential. We believe it is only with a diverse and inclusive workplace that the organization can truly perform at its best, carry out its vision, and make a difference for the communities we serve.
#J-18808-Ljbffr
Senior Data Scientist
Minneapolis ,
Minnesota
Apply Now
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. 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-focusedColleague Resource Groups. Competitive salaries with professional development and advancement opportunities. Bonus benefits including well-being programs and incentives, parental leave,anemployee stock purchase plan, military benefits and much more. Personal banking, loan, investmentand 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 onFacebook,LinkedInandX. 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... For full info follow application link. The employment policy of Associated Banc-Corp, and its subsidiaries and affiliates ("Associated") provides equal opportunity to all persons. We support a diverse and inclusive work environment where colleagues are respected, treated fairly, and given equal opportunities to perform to their fullest potential. We believe it is only with a diverse and inclusive workplace that the organization can truly perform at its best, carry out its vision, and make a difference for the communities we serve.
#J-18808-Ljbffr