At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference.
The Sr. Data Scientist will apply and integrate sophisticated statistical, mathematical, data mining, predictive modeling and business analysis skills to discover and identify new insights! This resource will predict and prescribe outcomes, advise on turning new insights into significant opportunities and provide the tracking and measurement of results.
Developing solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of sophisticated data sets for productization and monetization are also part of this role. Models need constant refitting as data changes over time.
Resource will interpret available data resources to develop and deliver information solutions, including analytical information.
Our team applies creative problem solving and inter-departmental networking to address data and information needs across the enterprise.
We also share standard methodologies with peers through coaching and mentoring around core methodologies, patterns, standards and processes.
Through a clear understanding of the assigned business area, utilizes technical skills to access and extract data from diverse sources residing on multiple platforms and implement large, sophisticated data models and information solutions by combining, synthesizing and structuring data from various data sources!
Bachelor's degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field
5+ years significant experience with a consistent record of using analytics to drive significant business impact or to develop data/algorithm-based products.
Statistical knowledge and intuition - ideally utilized in A/B testing.
Experience with distributed databases and query languages like Hive, Spark, Scala, or Pig Programming experience with scripting languages such as Python, Perl, Java, or Ruby
Proficiency with a statistical analysis tool such as R or SAS Relational, and/or columnar data experience required
Experience with SQL Machine learning experience.
Ability to tell a story with data What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening?
Ability to influence others with the story of what you're seeing in the data to make business recommendations.
Ability and desire to mentor other team members through projects independently, from start to finish, working with internal and external teams to make decisions and maintain momentum.
Excellent time and project management skills, with the ability to lead detailed work and communicate project status optimally to all levels.
Proven track record in meeting adventurous targets.
Master's degree and or PhD in related field a plus.
Cloud experience desired
Model deployment experience desired
Tuition reimbursement, commuter plans, and paid time off
Highly competitive compensation that include base salary plus bonus
Medical/Dental/Vision plans, 401(k), pension program
Grow your career with an outstanding company that puts our client’s interests at the center of all we do. Get started now!
This job is not covered by the existing Collective Bargaining Agreement.
Grow your career with a best-in-class company that puts our client’s interests at the center of all we do. Get started now!
We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law.
If you work or would be working in Colorado or outside of a Corporate location, please click here for information pertaining to compensation and benefits.
FIND YOUR FUTURE
We’re excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and commitment to diversity and inclusion.
Flexible work schedules
Employee resource groups