Sr Data Scientist AI Focus

What You'll Do

The Data Science team is seeking a Sr. Data Scientist I to create AI and Data Science solutions which can include Generative AI, Agentic AI, traditional machine learning, and other branches of AI. You will support the development, deployment, and maintenance of machine learning models, including the integration of foundational generative models into pipeline solutions.

This role requires a multi-disciplinary approach, combining machine learning, algorithm development, data inference, financial and quantitative modeling, and optimization to address complex business challenges.

Responsibilities include researching and applying current and emerging data science principles, theories, and techniques to inform strategic decision-making. Participation in scientific research projects aimed at advancing data analytics capabilities is also a key aspect of the position.

• Responsible for answering business questions using machine learning techniques, algorithms and statistical models.
• Capturing and integrating large volumes of data, performing analysis, interpreting results, and developing actionable insights and recommendations.
• Responsible for evaluating statistical/machine learning models to determine validity of analyses, testing models, and developing visualizations to help clients make business decisions.
• Collaborate & Partner closely with business and data teams and deliver data science solutions to identify business problems.
• Coaching, mentoring, reviewing work of junior data scientists.

• Bachelor's Degree required (quantitative discipline preferred)
• MS/PhD strongly preferred
• Experience applying AI techniques such as Agentic AI or Generative AI.
• 6+ years of professional experience building machine learning and predictive models (advanced degrees may substitute for some experience).
• Deep knowledge of Statistics, Mathematics, Optimization, Machine Learning theory and quantitative techniques.
• Proven experience working with Large Language Models (LLMs) in applied use cases (e.g., prompt design, model integration, or deployment).
• Advanced programming skills in Python, R, SAS, or SQL.
• Proficiency with ML frameworks (e.g., Tensor Flow, PyTorch, Scikit-learn, Keras) and scientific computing libraries.
• Ability to lead projects from model design to deployment
• Expertise in evaluating and making decisions around the use of new or existing machine learning, data analysis, optimization techniques/tools for a project.
• Expertise in model evaluation, tuning and performance, operationalization and scalability of scientific techniques and establishing decision strategies.
• Passion for picking up new techniques/technologies.
• Self‑motivated attitude and desire to work on applied problems.
• Hands on experience with large datasets, including both structured and unstructured data, and familiarity with big data tools (e.g., Spark) and cloud platforms (e.g., AWS, Azure).

• AWS Sage Maker or Databricks
• Agentic AI
• Generative AI
• Snowflake
• Git Hub
• SAS

• Salary range: $127,000 - $150,000 per year (non‑exempt expressed as hourly; exempt expressed as yearly)
• Non‑sales positions may participate in a bonus program.
• Flexible Time Off (FTO) is provided to salaried (exempt) employees.
• Pension eligible:
  Yes

This role offers in‑office, hybrid (blending at least three office days in a typical workweek), and remote work arrangements (only if residing more than 30 miles from Des Moines, IA, Raleigh, NC, or Charlotte, NC). You’ll work with your leader to figure out which option may align best based on several factors.

At this time, we are not considering candidates that need any type of immigration sponsorship now or in the future or those needing work authorization for this role.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.