Data Scientist Principal | Hybrid

Job Level:  Professional
Location: 

Minneapolis, MN, US, 55416

Area of Expertise:  Data & Analytics
Unit:  Allianz US Life
Employing Entity:  Allianz Life Insurance Company
Job Type:  Full-Time
Remote Job:  Not applicable
Employment Type:  Permanent
ID:  51096
Position Cluster:  Non-Executive

At Allianz Life, we are guided by our mission – we secure your future – and by our common goal of caring for tomorrow. We care for our employees by promoting an inclusive culture where everyone has the opportunity to grow and be rewarded for their success. We care for our customers by creating new products that help them protect their families and pursue their retirement goals. We care for our community by giving time, resources, and donations. And we care for the future by supporting sustainability, protecting the local environment, and promoting societal equity.

 

The Principal Data Scientist is a member of the Data Science team within the Data & Analytics Center of Excellence. You will be responsible for leading the design, development, and implementation of machine learning and other advanced analytics solutions to meet business needs of partners across the company. You will report to the Data Science Sr Manager

 

What you do:

 

  • Independently design and develop machine learning models and/or advanced analytics solutions that will address important business needs
  • Query and wrangle data for analysis and models, including performing exploratory data analysis and feature engineering
  • Lead meetings with partners to understand our needs, iterating through solutions, make recommendations, and identify new opportunities for analytical solutions
  • Effectively communicate findings, insights and ideas, including through data visualizations
  • Lead collaborative efforts with other data scientists and Data & Analytics COE team members to implement high-quality code and participate in regular code reviews
  • Provide expertise to improving team's coding and process standards
  • Investigate new methodologies and contribute to the technical expertise of the team

 

What you bring:

 

  • 6+ years of experience required, 5+ years of experience with Master's degree
  • Proficiency writing clean and reproducible code in R or Python
  • Proficiency in SQL, including subqueries/CTEs and joins
  • Experience developing and implementing machine learning models in production
  • Experience with machine learning algorithms and common statistical concepts (e.g. hypothesis testing)
  • Experience with version control using git

 

What we offer:

 

At Allianz Life, we're proud to provide a benefits package that supports the True Balance of our employees and their families. We offer a choice of comprehensive medical and dental plan options, a g time off plan and an outstanding 401(k) company match. Plus, our employees enjoy an award-winning campus with an array of discounted amenities, including an onsite health center, child development center, fitness facility, convenience store and two cafeterias. Our employees and leaders take an active role in shaping our culture through our Employee Resource Groups, whose activities and advocacy contribute to an environment that celebrates diversity. Our great benefits, campus amenities and inclusive, engaged culture are among the many reasons we're recognized as a top workplace employer.

 

51096 | Data & Analytics | Professional | Non-Executive | Allianz US Life | Full-Time | Permanent

 

At Allianz Life, we’re proud to provide a benefits package that supports the True Balance of our employees and their families. We offer a choice of comprehensive medical and dental plan options, a g time off plan and an outstanding 401(k) company match. Plus, our employees enjoy an award-winning campus with an array of discounted amenities, including an onsite health center, child development center, fitness facility, convenience store and two cafeterias. Our employees and leaders take an active role in shaping our culture through our Employee Resource Groups, whose activities and advocacy contribute to an environment that celebrates diversity. Our great benefits, campus amenities and inclusive, engaged culture are among the many reasons we’re recognized as a top workplace employer.   #LI-BK1#


Nearest Major Market: Minneapolis