Principal Data Scientist - R01568403

Ladders; United States; Remote; USD 180,000 - 190,000; Full time

Benefits offered by this job

Career growth opportunities

Access to cutting-edge AI tools

Collaborative culture

Exposure to large-scale data projects

Job summary

Ladders is seeking a Principal Data Scientist to lead advanced data science initiatives in a remote US-based setting. You will own end-to-end model development, from hypothesis testing and forecasting to deployment and validation, mentoring junior team members and partnering with cross-functional stakeholders.

The role emphasizes building scalable analytical solutions, improving data pipelines, and applying probabilistic graph models and modern ML frameworks to solve complex business questions

Qualifications

• 15–18 years of experience in advanced data science roles.
• Extensive leadership experience in deployment of statistical and ML solutions.
• Expertise in hypothesis testing, regression techniques, and advanced statistics.

Responsibilities

• Design and implement robust statistical models and ML algorithms.
• Lead end-to-end development of data science projects from hypothesis testing to forecasting.
• Collaborate with cross-functional teams to translate business needs into analytical solutions.
• Optimize and automate data pipelines for efficient processing.
• Develop, validate, and maintain probabilistic graph models and advanced statistical frameworks.
• Utilize leading ML frameworks for model building and deployment.
• Mentor and guide junior data scientists on the team.

Skills

Leadership

Statistical methods

Hypothesis testing

Python

PySpark

R

Education

Master's or PhD in Data Science/Statistics/CS

Tools

Probabilistic graph models

ML frameworks

Job description

For our client, we are seeking a Principal Data Scientist - R01568403 to join the team of a leader in the Technical Services space.

This role will lead advanced data science efforts that turn complex business questions into scalable analytical and machine learning solutions. The Principal Data Scientist will own the full lifecycle of model development, from hypothesis testing and forecasting through deployment and validation. This person will also partner closely with cross-functional stakeholders, mentor junior team members, and help improve the efficiency of data pipelines and modeling workflows in a remote environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $180,000 – $190,000 annually

Responsibilities

• Design and implement robust statistical models and machine learning algorithms
• Lead end-to-end development of data science projects from hypothesis testing to forecasting
• Collaborate with cross-functional teams to translate business needs into analytical solutions
• Optimize and automate data pipelines for efficient processing
• Develop, validate, and maintain probabilistic graph models and advanced statistical frameworks
• Utilize leading ML frameworks for model building and deployment
• Mentor and guide junior data scientists on the team

Qualifications

• 15-18 years of experience in advanced data science roles
• Extensive leadership experience in statistical and machine learning solution deployment
• Expertise in hypothesis testing, regression techniques, and advanced statistical methods
• Strong programming skills in Python, PySpark, and R
• Knowledge of probabilistic graph models and various machine learning frameworks
• Master's or PhD in Data Science, Statistics, Computer Science, or a related field

Benefits

• Opportunities for career growth and development
• Access to cutting-edge tools and technologies in AI and data analytics
• Collaborative and innovative work culture
• Exposure to large-scale data initiatives and impactful projects
• Engagement with a diverse team of experts in the field

Our client is an equal opportunity employer.