Principal Data Scientist: Generative AI Leader (Remote)

Ladders; United States; Remote; USD 144,000 - 288,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Bonus eligibility

Job summary

Ladders is seeking a Principal Data Scientist to lead advanced machine learning and Generative AI efforts across the organization. You will architect scalable data products, analytics tools, and production solutions while partnering with business stakeholders and technical teams.

The role includes mentoring data professionals and helping define the technical direction for modern AI capabilities, with a remote US-based work setup and a strong impact on decision-making.

Qualifications

• 10+ years in Data Science, ML, or AI with production experience.
• 6+ years Python, SQL, Spark for production-quality solutions.
• 4+ years building scalable data pipelines on cloud architectures, Databricks preferred.
• 2+ years designing and deploying Generative AI apps incl. LLMs.
• 3+ years leading or mentoring data teams translating business needs into AI solutions.

Responsibilities

• Design, develop, and monitor advanced ML and Generative AI solutions.
• Build and maintain scalable data products and pipelines using Databricks.
• Architect self-service analytics and reporting tools for data-driven decisions.
• Write production-quality code and establish best practices.
• Drive the team's technical roadmap and ML architecture.
• Collaborate with stakeholders to align solutions with business needs.
• Mentor and develop a high-performing data team.

Skills

Data Science

Machine Learning

Generative AI

Python

SQL

Spark

Mentoring

Leadership

Tools

Databricks

Job description

Ladders is seeking a Principal Data Scientist to lead advanced machine learning and Generative AI efforts across the organization. You will architect scalable data products, analytics tools, and production solutions while partnering with business stakeholders and technical teams.

The role includes mentoring data professionals and helping define the technical direction for modern AI capabilities, with a remote US-based work setup and a strong impact on decision-making.