At Compass, our mission is to help everyone find their place in the world. Founded in 2012, we’re revolutionizing the real estate industry with our end-to-end platform that empowers residential real estate agents to deliver exceptional service to seller and buyer clients.
About the Role:
We are seeking an exceptional Senior Lead Data Scientist to lead large-scale, cross-functional initiatives that are critical to Compass. In this role, you will have mastery over major organizational problems and solution spaces, delivering with complete independence and maintaining accountability for strategic intent and results. You will facilitate cross-organizational collaboration, orchestrate efforts across multiple teams, and advise management on complex technical and strategic decisions.
Responsibilities:
- Lead the execution of large, cross-functional initiatives where both the problem and solution approach are not well-defined.
- Orchestrate efforts across multiple teams, managing dependencies and setting realistic timelines for high-impact projects.
- Foster a culture of shared ownership across teams and translate cutting-edge industry research into practical, scalable solutions for the company.
- Define and roll out new processes, methodologies, and best practices across the entire Data organization.
- Mentor senior-level data scientists across the organization and act as a trusted advisor to executive leadership.
Qualifications:
- Master's degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) with 8+ years of professional data science experience.
- Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP.
- Proven experience as a technical lead, defining and driving strategic initiatives for multiple teams simultaneously.
- Mastery of advanced Python and SQL for large-scale data manipulation, analysis, and architectural design.
- Expertise in evaluating and selecting cutting-edge methodologies to solve highly ambiguous business problems.
- Demonstrated experience designing and implementing robust MLOps pipelines for large-scale model deployment and monitoring.
- Proven ability to define and enforce clean code standards and software engineering best practices across teams.
- Experience mentoring and developing senior-level data scientists to foster growth and technical excellence.
- Exceptional communication skills with a track record of serving as a trusted advisor to organizational leadership.
Compensation: The base pay range for this position is $204,000-$226,700 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.
Perks that You Need to Know About:
Participation in our incentive programs (which may include eligible cash, equity, or commissions). Plus paid vacation, holidays, sick time, parental leave, and recharge leave; medical, tele-health, dental and vision benefits; 401(k) plan; flexible spending accounts (FSAs); commuter program; life and disability insurance; Maven (a support system for new parents); Carrot (fertility benefits); UrbanSitter (caregiver referral network); Employee Assistance Program; and pet insurance.
Notice for California Applicants
Los Angeles County Fair Chance Notice
Skills Required
- Master's degree or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or Economics
- 8+ years of professional data science experience
- Deep expertise in multiple complex data science areas, including XGBoost, deep learning, and NLP
- Experience as a technical lead defining and driving strategic initiatives for multiple teams simultaneously
- Advanced Python and SQL skills for large-scale data manipulation, analysis, and architectural design
- Expertise evaluating and selecting cutting-edge methodologies for ambiguous business problems
- Experience designing and implementing robust MLOps pipelines for large-scale model deployment and monitoring
- Experience defining and enforcing clean code standards and software engineering best practices across teams
- Experience mentoring and developing senior-level data scientists
- Exceptional communication skills and experience advising organizational leadership
Compass Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Compass and has not been reviewed or approved by Compass.
-
Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, with some noting fully paid dependent coverage and solid plan options. Wellness resources and assistance programs further support overall health needs.
-
Parental & Family Support — Paid parental leave is characterized as generous for both birthing and non-birthing parents, supporting time at home. Company policies also reference family medical leave.
-
Retirement Support — A 401(k) with company match alongside an employee stock purchase plan and equity grants adds long-term financial value. These elements broaden total rewards beyond base pay.
Compass Insights
What We Do
A real estate company with a purpose; we are building the first modern real estate platform, pairing the industry’s top talent with technology to make the search and sell experience intelligent and seamless.
Why Work With Us
We are a tech company reinventing the space. To lead the industry requires the smartest tools built by the brightest minds across engineering, design, and strategy. Through our proprietary platform, Compass is changing how agents and clients navigate the process of finding or selling a home. Join our team today!
