Remote Data Science Manager Consumer & Developer Experience

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

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