Data Scientist Senior | Hybrid (Minneapolis, MN, US, 55416) en None

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, development, and implementation of machine learning, generative AI, and other advanced analytics solutions to meet the needs of business partners  across compliance, operations, sales/distribution, and marketing. You will report to the Data Science Manager.  

What you do:

• Drive the creation of advanced machine learning and generative AI solutions that solve complex business challenges and deliver measurable results
• Serve as technical lead on data science projects, shaping solution architecture and strategic direction, while providing guidance and mentorship to junior team members
• Query and wrangle data for analysis and modeling, including performing exploratory data analysis and feature engineering
• Lead meetings with business stakeholders to understand company needs, iterate through solutions, make recommendations, and identify new opportunities
• Effectively communicate findings, insights, and ideas, to both technical and non-technical stakeholders
• 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 by exploring new methodologies, enhancing team coding practices, and elevating overall data science standards and processes
• Utilization of artificial intelligence tools and resources (e.g. generative AI)

What you bring:

• 4+ years of experience required, 3+ years with a graduate degree
• Strong proficiency in writing clean and reproducible code in Python. Streamlit experience preferred.
• Proficiency in SQL, including subqueries/CTEs and complex joins
• Proven experience developing and implementing machine learning models in production
• Solid understanding of machine learning algorithms and core statistical concepts (e.g., hypothesis testing), with the ability to design robust measurement frameworks that quantify the impact of AI solutions
• Previous experience leading data-driven projects from concept to execution, translating complex insights into actionable strategies and confidently presenting findings to stakeholders and senior leadership
• Experience with version control using Git / Github
• Demonstrated experience working with LLMs and / or designing generative AI solutions
• Excellent organizational and project management skills
• You must be legally authorized to work in the U.S. without requiring immigration sponsorship now or in the future. This includes holders of H-1B, H4, L-1, L-2, TN, OPT, CPT, and other nonimmigrant visas.

Job posting range: $107,001 - $147,500

86090 | Data & AI | 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 race, ethnicity or cultural background, age, gender, nationality, religion, disability, sexual orientation, or any other characteristics protected under applicable laws and regulations.

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