Data Scientist Senior | Hybrid

Allianz; Minneapolis (MN); On-site; USD 107,001 - 147,500; Full time

Benefits offered by this job

Annual incentive program

Mentorship opportunities

Job summary

Allianz US Life seeks an experienced data scientist to lead advanced ML and generative AI initiatives. You will guide architecture, mentor junior team members, and collaborate with stakeholders to translate complex insights into strategic actions.

You will cleanly craft data pipelines, perform exploration, and deploy models in production while advancing the COE's standards and practices. A strong documentation and governance mindset is required.

Qualifications

• 4 years of experience required, 3 years with a graduate degree.
• Proficiency in writing clean and reproducible Python code; Streamlit preferred.
• Proficiency in SQL including subqueries/CTEs and complex joins.
• Experience developing and deploying ML models in production.
• Strong understanding of ML algorithms and statistics with measurement frameworks.
• Experience leading data-driven projects and presenting to stakeholders.
• Experience with version control using Git/GitHub.
• Experience with LLMs and generative AI solutions.
• Excellent organizational and project management skills.
• Must be legally authorized to work in the U.S. without sponsorship.

Responsibilities

• Drive creation of advanced ML and generative AI solutions to solve business challenges.
• Serve as technical lead on data science projects, shaping architecture and direction.
• Query and wrangle data for analysis and modeling; perform EDA and feature engineering.
• Lead meetings with business stakeholders to understand needs and iterate on solutions.
• Communicate findings clearly to technical and non-technical stakeholders.
• Lead collaboration with data scientists and COE team for high-quality code and reviews.
• Provide thought leadership by exploring new methodologies and improving practices.
• Utilize AI tools and resources (e.g., generative AI) in projects.

Skills

Python

SQL

ML in production

LLMs

Streamlit

Git

Code reviews

Data wrangling

Stakeholder presentation

Leadership

Tools

GitHub

Job description

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

Note the job posting range is exclusive of company benefits or other compensation. This role is also eligible for an annual incentive program. If you are hired, your final base salary will be determined based on factors such as geographic location, experience, skills, competencies, and/or education. In addition to those factors, we will also consider internal equity of our current employees. Please keep in mind that the range provided is the full base salary range for the role. Hiring at or near the maximum of the range would not be typical to allow for future and continued salary growth.

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.