Sr. Data Scientist

Ladders; United States; Remote; USD 120,000 - 145,000; Full time

Benefits offered by this job

Competitive pay

Bonus incentives

Medical, dental, vision

401(k) with match

Disability coverage

Job summary

Ladders is seeking a Sr. Data Scientist to build and operationalize predictive analytics in a regulated financial services environment.

You will own the full model development lifecycle from framing and feature engineering to deployment, monitoring, and refinement, partnering with stakeholders to translate data into actionable business insights. The role emphasizes performance, governance, and decision support, with remote work and competitive compensation.

Qualifications

• Bachelor's or Master’s degree in a quantitative field required; PhD preferred
• Minimum one year of hands‑on experience in predictive modeling or advanced analytics in financial services
• Strong programming skills in Python, R, and SQL
• Expertise in statistical modeling methodologies and machine learning algorithms
• Ability to communicate complex technical concepts to business and executive audiences

Responsibilities

• Develop and maintain predictive models for credit risk, marketing, and other business domains
• Manage the end-to‑end model development lifecycle from problem framing to deployment
• Implement machine learning solutions using advanced techniques
• Create model monitoring frameworks to ensure performance and compliance
• Communicate model performance and insights to technical and non‑technical audiences

Skills

Python

R

SQL

Predictive modeling

Machine learning

Education

Bachelor's degree

Master's degree

PhD

Tools

None

Job description

For our client, we are seeking a Sr. Data Scientist to join the team of a leader in the Finance & Insurance space.

This role will focus on building and operationalizing predictive analytics solutions that support credit risk, marketing, and other key business decisions in a regulated financial services environment. The position owns the full model development lifecycle, from problem framing and feature engineering through deployment, monitoring, and ongoing refinement. You will partner closely with technical and business stakeholders to translate complex data into actionable insights that improve performance, governance, and decision-making.

Location: Remote

Compensation: $120,000 – $145,000 annually

Responsibilities

• Develop and maintain predictive models for credit risk, marketing, and other business domains
• Manage the end-to‑end model development lifecycle from problem framing to deployment
• Implement machine learning solutions using advanced techniques
• Create model monitoring frameworks to ensure performance and compliance
• Communicate model performance and insights to technical and non‑technical audiences

Qualifications

• Bachelor's or Master’s degree in a quantitative field required; PhD preferred
• Minimum one year of hands‑on experience in predictive modeling or advanced analytics in financial services
• Strong programming skills in Python, R, and SQL
• Expertise in statistical modeling methodologies and machine learning algorithms
• Ability to communicate complex technical concepts to business and executive audiences

Benefits

• Competitive pay, including bonuses and variable pay incentives
• Comprehensive medical, dental, and vision plans
• 401(k) plan with company match
• Short- and long-term disability coverage
• Wellness programs and employee engagement activities

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.