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

What you do:

  • 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 business stakeholders to understand company 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 thought leadership to improving team's coding and process standards
  • Investigate new methodologies and contribute to the technical expertise of the team

What you bring:

  • 4 + years of experience required, 3 + 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
  • Solid understanding of 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.  

48121 | Data & Analytics | Professional | Non-Executive | Allianz US Life | Full-Time | Permanent

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.

Great to have you on board.  We care for tomorrow.

Location

Minneapolis, MN, US, 55416

Job Overview
Job Posted:
7 months ago
Job Expires:
Job Type
Full Time

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