Awesome opportunity to bring together business accumen and data science sophistication. Supporting a $5B+ sales organization, this position will be critical in taking the data structure, analytics, and tools to the next level. This position works closely with sales leaders and build will need to develop relationships across Ameriprise.
Key to this position is the ability to collect, clean, analyze, and interpret data as well as communicate findings. Drive deployment of data visualization tools.
Play an integral role in supporting modeling and data analysis and database needs for Insurance and Annuities. 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 and analytic thought leadership.
Responsibilities
- Ability to analyze and map current data systems and sources in preparation to specify and prioritize data lake hydration; assist in identifying key data fields and eliminate those no longer used or propose alternate sources.
- Identify, develop and implement complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques simulation, optimization solutions, etc.
- 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.
- Enhance data collection procedures to include information that is relevant for building analytic systems
- 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. May directly lead projects/manage business partner relationships with mid- senior level leaders.
- Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.
- Experience with data visualization tools (Tableau, Tableau CRM+, Power BI, Dash).
- 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 degree Required in related field
- 3-5 years experience in related field
- 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, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies.
- Experience with statistical programming (SQL, R, Python, etc.) & data visualization applications (Tableau, PowerBI, TableauCRM+) 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 is critical.
- Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.
- Ability to work effectively in a collaborative team environment.
- Machine learning/intelligent automation.
Preferred Qualifications
- PHD Preferred
- Experience with big data technologies which may include Hadoop, Cloud Computing Environments (including container creation, management & deployment), Spark, etc.
About Our Company
Riversource Annuities and Insurance is a part of the Ameriprise family of brands that provides our clients access to solutions that create a road map for their future. At Riversource we embrace an inclusive and collaborative culture that allows us to help others achieve their goals by providing compelling product solutions. This includes insurance to prepare for and be protected during the unexpected, as well as annuities that will provide support through every stage of retirement planning such as asset accumulation, generating income, and leaving a legacy to loved ones or charity. We celebrate the unique qualities and reward the contributions of our talented, passionate employees. If you're motivated and want to work for a strong, ethical company that cares about you and your community, take the next step with Riversource.
Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law. |
