Data Scientist Mgr Data Scientist Mgr …

Ameriprise Financial, Inc.
in Minneapolis, MN, United States
Permanent, Full time
Be the first to apply
Competitive
Ameriprise Financial, Inc.
in Minneapolis, MN, United States
Permanent, Full time
Be the first to apply
Competitive
Data Scientist Mgr
Job Description

Play an integral role in supporting modeling and data analysis needs for assigned line of 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.

Responsibilities

  • Identify, develop, and implement complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, measurement solutions, decision analysis and targeted marketing campaign/list services.
  • Collaborate with business leaders and/or analysts to provide analytical thought leadership and support for business problems.
  • Identify and interpret business needs, define scope, business requirements, and translate those requirements into technical requirements.
  • Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic output into understandable and actionable business knowledge/insights.
  • 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.


Required Qualifications

  • Master's degree or equivalent
  • 3-5 years work experience in analytics and decision science
  • Experience conducting hands-on analytics projects using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies.
  • Experience with statistical programming (Python,SAS, R, SQL etc.) & data visualization software (Power BI, Tableau, etc.) in a data-rich environment
  • Strong analytical thinking and problem solving skills.
  • Excellent verbal and written communication skills, including the ability to communicate complex concepts to a non-technical audience in a way that facilitates decision making & drives outcomes.
  • Proven ability to collaborate with multiple global teams, work cross financially and build new business partner relationships.
  • Well-organized and capable of handling multiple critical projects simultaneously while meeting deadlines.
  • Proven flexibility and adaptability in a fast-paced and rapidly changing environment.
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