Senior Data Scientist - Member Experience
LaddersAbout the role
For our client, we are seeking a Senior Data Scientist - Member Experience to join the team of a leader in the Healthcare space.
This role will focus on building analytics and machine learning solutions that improve support operations and the overall member experience. You will partner closely with operations and member experience stakeholders to turn fragmented data into practical insights, scalable reporting, and production-ready systems. The position blends NLP, forecasting, and data engineering to strengthen support quality, capacity planning, and decision-making across the organization.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $172,550 – $203,000 annually
Responsibilities
Build and maintain quality scoring classifiers for support interactions using NLP and LLM approaches
Design new support performance metrics that extend beyond traditional reporting
Enhance forecasting models for support capacity and staffing demand
Create a data layer linking support interactions to member lifecycle data
Collaborate with member experience and operational stakeholders to define problems and data solutions
Develop dashboards and reporting tools to visualize support quality and performance
Transform fragmented operational data into actionable insights and production-ready systems
Qualifications
6+ years of experience in data science, machine learning, or advanced analytics
Strong proficiency in SQL and Python for analytical model building
Experience with NLP or LLM-based model evaluation and monitoring
Familiarity with forecasting and time series modeling for operational planning
Strong data engineering intuition for transforming data across systems
Experience with cloud platforms like Databricks, AWS, or Snowflake
Proven ability to communicate complex analytics to non-technical partners
Benefits
Competitive salary and equity packages
Health, dental, and vision insurance with mental health resources
A consumer product benefit plus discounts for employees and their friends & family
20 days of paid time off, 13 paid holidays, and 8 wellness days
Paid sick leave and parental leave
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- Build and maintain quality scoring classifiers for support interactions using NLP and LLM approaches
- Design new support performance metrics that extend beyond traditional reporting
- Enhance forecasting models for support capacity and staffing demand
- Create a data layer linking support interactions to member lifecycle data
- Collaborate with member experience and operational stakeholders to define problems and data solutions
- Develop dashboards and reporting tools to visualize support quality and performance
- Transform fragmented operational data into actionable insights and production-ready systems
Qualifications
- 6+ years of experience in data science, machine learning, or advanced analytics
- Strong proficiency in SQL and Python for analytical model building
- Experience with NLP or LLM-based model evaluation and monitoring
- Familiarity with forecasting and time series modeling for operational planning
- Strong data engineering intuition for transforming data across systems
- Experience with cloud platforms like Databricks, AWS, or Snowflake
- Proven ability to communicate complex analytics to non-technical partners
Benefits
- Competitive salary and equity packages
- Health, dental, and vision insurance with mental health resources
- A consumer product benefit plus discounts for employees and their friends & family
- 20 days of paid time off, 13 paid holidays, and 8 wellness days
- Paid sick leave and parental leave
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.