Data Science Manager

Ameriprise-posted 1 day ago

$107,000 - $144,000/Yr

Full-time • Manager

Minneapolis, MN

5,001-10,000 employees

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Play an integral role in supporting modeling and data analysis, budget execution, and the FinOps needs of the business. Manage the creation and/or usage of large data sets, providing information-based decision logic and predictive modeling solutions, and translates modeling/analytic output into understandable/actionable business knowledge, insight and applications. Demonstrate strong technical/problem solving skills. Support multiple projects collaboratively.

Identify, develop, and implement complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, and risk management purposes.
Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation.
May monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.
Identify and execute targeting and optimization opportunities while consulting and coordinating execution with asset owners.
Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide analytical thought leadership and support for business problems.
Identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope.
Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge.
Embed analytic programs and tools.
Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.
Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise and business unit data governance polices and leaders.
Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing.
Work cross functionally to develop standardized/automated solutions and adopt best practices.

Master degree or equivalent Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering, etc.)
5-7 years relevant experience required.
Knowledge of advanced statistical concepts and techniques; skilled in linear algebra.
Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, machine learning, clustering, or similar methodologies.
Experience with statistical programming (SAS, R, Python, SQL etc.) & data visualization software in a data-rich environment.
Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners.
Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.
Ability to work effectively in a collaborative team environment.

3+ years of experience in statistical modeling and the collating processes necessary to create modeling data.
Experience with cloud services and big data technologies FinOps.
Self-starter with the ability to work effectively in a matrix environment while (at times) working autonomously.
Proven flexibility and adaptability in effectively driving results in an environment of changing priorities.
Background in financial services.

We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.

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