rdccareers

Data Science Manager

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At a Glance

Location
United States
Employment
employment_optional
Experience
6+ years
Posted
2026-02-09T18:25:33-05:00

Key Requirements

Required Skills

AWSData ScienceETLPythonSQLSnowflakeTableau

Domain Knowledge

  • Engineering

Requirements

We are looking for a player-coach leader who’s intellectually curious, passionate about solving complex business problems using data and analytics, and is able to move fast while maintaining focus on high-impact projects.

Bachelor’s degree, ideally in a quantitative field (

e.g.

, Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science, Computer Science).

6+ years of professional experience in data science and analytics, with 2+ years experience managing people.

Responsibilities

Realtor.com

is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Customer Data Science & Analytics team at

Realtor.com

provides trusted data and insights to optimize every aspect of our customer experience and to drive the company’s commercial performance.We are looking for a hands-on, experienced manager to lead a team of data scientists and business analysts, acting as a trusted partner to our sales, marketing, and product stakeholders helping them answer the most critical business questions. Reporting to the Director of Commercial Data Science & Analytics, this role manages multiple areas of work and plays a critical part in driving key strategies and decisions on how to improve sales, customer acquisition, retention, and growth.This is a job for a full-stack data scientist with leadership skills and significant experience in stakeholder management and project management. You are expected to not just react to needs/asks but also actively identify opportunities to move the needle in meaningful ways, in collaboration with a diverse set of cross-functional partners across product, sales, B2B Marketing, engineering, finance, and others.

Lead and mentor a team of data scientists and business analysts, providing technical guidance and career coaching, establishing the frameworks for managing and executing work, ensuring quality of work and on-time completion, and fostering a culture of collaboration and innovation.