Manager, Data Science - Consumer and Developer Experience (Remote-Eligible)

Ladders; United States; Remote; USD 179,000 - 205,000; Full time

Job summary

Ladders is seeking a Manager, Data Science - Consumer and Developer Experience (Remote-Eligible) to lead data science initiatives that improve consumer and developer experiences through insights, modeling, and experimentation. You will partner with product and engineering teams to turn complex data into practical solutions that support business objectives and innovation.

This hands-on leadership role covers analytics, machine learning, and large-scale data processing in a remote US-based

Qualifications

• Bachelor's, Master's, or PhD in a quantitative field with relevant experience in data analytics.
• 1+ year of experience with open-source programming languages for large-scale data analysis.
• 1+ year of experience in machine learning.
• 1+ year of experience utilizing relational databases.
• Preferred: PhD in STEM with 3+ years in data analytics, experience with AWS, Python, Scala, or R for large-scale data analysis, and SQL.

Responsibilities

• Partner with cross-functional teams to deliver impactful products.
• Leverage technologies like Python, AWS, and Spark to extract insights from data.
• Build machine learning models from design to implementation.
• Translate complex data findings into actionable business goals.
• Drive innovation by developing prototypes and collaborating with product and engineering teams.

Skills

Data analytics

Machine learning

Relational databases

Education

Bachelor's/Master's/PhD in quantitative field

PhD in STEM (preferred)

Tools

Python

AWS

Spark

Scala

R

SQL

Job description

For our client, we are seeking a Manager, Data Science - Consumer and Developer Experience (Remote-Eligible) to join the team of a leader in the Finance & Insurance space.

This role will shape data science efforts that improve consumer and developer experiences through better insights, modeling, and experimentation. You will partner closely with product and engineering teams to turn complex data into practical solutions that support business objectives and innovation. The position also calls for hands‑on technical leadership across analytics, machine learning, and large‑scale data processing in a remote environment.

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

Compensation: $179,400 – $204,700 annually

Responsibilities

• Partner with cross‑functional teams to deliver impactful products
• Leverage technologies like Python, AWS, and Spark to extract insights from data
• Build machine learning models from design to implementation
• Translate complex data findings into actionable business goals
• Drive innovation by developing prototypes and collaborating with product and engineering teams

Qualifications

• Bachelor's, Master's, or PhD in a quantitative field with relevant experience in data analytics
• 1+ year of experience with open‑source programming languages for large‑scale data analysis
• 1+ year of experience in machine learning
• 1+ year of experience utilizing relational databases
• Preferred: PhD in STEM with 3+ years in data analytics, experience with AWS, Python, Scala, or R for large‑scale data analysis, and SQL

Benefits

• Comprehensive health benefits
• Financial wellness programs
• Inclusive workplace culture
• Performance‑based incentives
• Remote work eligibility

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.