Data Scientist II

Our Mission

Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of remarkable.

Overview

How you can make a difference  

This position is responsible for leveraging advanced analytics and data science techniques to extract actionable insights and drive data-informed decision-making at HealthEquity. This role will design, develop, and deploy ML, Gen‑AI, and Agentic AI solutions to solve business problems at scale. Work across data processing, modeling, evaluation, and productionization with a focus on responsible AI and measurable impact. 

 

What you’ll be doing 

• Build and tune ML models (classification, regression, clustering, recommenders).  
• Develop LLM workflows: prompt engineering, RAG, fine‑tuning, multi‑modal models.  
• Stay up-to-date with the latest trends, advancements, and best practices in data science, machine learning, and related fields.  
• Provide strategic recommendations based on data analysis and model outputs to inform business strategy, drive decision-making, and optimize performance across various business functions.  
• Implement agentic AI solutions leveraging LangGraph for orchestration and tool‑use.  
• Apply embeddings and vector search for NLP and retrieval pipelines.  
• Process large datasets using Python (pandas, scikit‑learn, PySpark) and SQL.  
• Apply MLOps practices: CI/CD, monitoring, reproducibility.  
• Communicate insights clearly to technical and non‑technical audiences.  

  

What you will need to be successful

• Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or related fields
• 4 to 5+ years of related experience in data science, preferably in a fast‑paced environment
• Advanced developer in Python with expertise in pandas, scikit‑learn, and PySpark.  
• SQL for large‑scale data processing.  
• Building, tuning, and evaluating ML models; strong understanding of evaluation metrics.  
• Vectorization/embeddings and vector search algorithms for NLP.  
• Bias testing and fairness considerations.  
• Expertise in prompt engineering and agentic AI concepts (LangGraph experience preferred).  
• Translating business needs into modeling tasks; clear communication across audiences.  
• Cross‑functional collaboration and Agile project experience with proper documentation.  
• Model deployment concepts and MLOps practices (CI/CD, monitoring, reproducibility).  
• Recommendation systems and evaluation of LLMs in production, including incremental evaluation.
• OpenAI API/SDK usage, multi‑modal LLMs, and LLM fine‑tuning.

 

#LI-Remote

This is a remote position.

Salary Range

$99500.00 To $129500.00 / year

Benefits & Perks

The actual compensation offer is determined based on job-related knowledge, education, skills, experience, and work location. This position will be eligible for performance-based incentives as part of the total compensation package, in addition to a full range of benefits including:  

• Medical, dental, and vision 

• HSA contribution and match 

• Dependent care FSA match 

• Uncapped paid time off 

• Paid parental leave 

• 401(k) match 

• Personal and healthcare financial literacy programs 

• Ongoing education & tuition assistance 

• Gym and fitness reimbursement 

• Wellness program incentives 

 

Onboarding & Travel

This is a remote role, with an in-person onboarding training component. New team members must participate in Trailhead, HealthEquity’s immersive onboarding experience Trailhead is designed to foster meaningful connections, support your integration into the organization, and equip you with a strong understanding of our business. Trailhead participation is a key expectation of this role. Trailhead is held onsite at our headquarters once per quarter. HealthEquity covers all required travel and accommodations. 

 

This role may begin with a virtual, self-paced onboarding experience, followed by a mandatory onsite Trailhead session at a later date.

 

HealthEquity is committed to providing reasonable accommodations to team members with qualifying disabilities. Should you be selected for this role and require an accommodation, we will put you in touch with our Benefits Team so you can begin the accommodation request process.

Why work with HealthEquity 

HealthEquity has a vision that