At Northwestern Mutual, we are strong, innovative and growing. We invest in our people. We care and make a positive difference.
At Northwestern Mutual we're changing the way people think about financial planning. We're redefining and reinventing the industry and changing people's financial lives with better experiences and better technology. We believe in building inclusive, and diverse workplaces, where every voice is heard. Come help us build for the future!
PRIMARY DUTIES & RESPONSIBILITIES:

• Applies and integrates advanced statistical, mathematical, data mining, predictive modeling and business analysis skills and techniques to discover and identify new insights, predict and prescribe outcomes, advise on turning new insights into actionable opportunities and outcomes, and provide the tracking and measurement of results.
• Develop solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets for productization and monetization.
• Interprets available internal and external data resources to develop and deliver information solutions, including analytical information.
• Applies creative problem solving and inter-departmental networking to address data and information needs across the enterprise.
• Shares best practices 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, complex data models and information solutions by combining, synthesizing and structuring data from various data sources.
• Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes

KNOWLEDGE, SKILLS, ABILITIES:

• Advanced Python skills needed!
• Preference for individual with hands-on experience manipulating/modeling time-series data
• Bachelor's degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field
• 4-5 years of professional experience
• At least 4 years experience working in software or analytics related field
• At least 3 years of hands-on experience doing data science work
• At least 2 years experience with Python performing statistical analysis
• Ability to write moderately complex SQL queries
• Statistical knowledge and intuition
• Machine learning experience
• Experience with distributed databases and query languages like Hive or Spark
• Ability to tell a story with data
• 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
• Proven track record in meeting aggressive deadlines; strong time and project management skills with the ability to manage detail work and communicate project status effectively to all levels
• Identifying data requirements for analytical needs
• Experience working with financial/ economic data preferred
• Master's or PhD degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field preferred

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This job is not covered by the existing Collective Bargaining Agreement.
Required Certifications:
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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.
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