Compass

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 a highly skilled and motivated Senior Data Scientist to join our data science team. In this role, you will leverage your deep expertise in machine learning, statistical modeling, and data analysis to solve complex problems and drive strategic decisions across the organization. You will work closely with business stakeholders and engineers to uncover insights and develop cutting-edge data-driven solutions that directly influence strategic planning, resource allocation, and product development.

Responsibilities:

• Design and execute rigorous data-driven research to analyze the impact of various factors on business outcomes.
• Develop, validate, and deploy advanced Machine Learning models to predict market trends and inform strategic business decisions
• Collaborate with business stakeholders to define key questions, translate them into analytical problems, and deliver actionable insights.
• Communicate complex methodologies and findings clearly to technical and non-technical audiences.
• Stay abreast of industry best practices and state-of-the-art methodology in data science.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Economics, or a related quantitative field.
• 5+ years of experience in data science with a proven track record of delivering successful, end-to-end data science projects.
• Deep expertise in a key data science domain (e.g., classification, prediction, NLP)
• Practical experience applying a range of data science methodologies (e.g., causal inference, time series analysis, advanced machine learning techniques).
• Strong proficiency in Python (e.g., pandas, scikit-learn, statsmodels, causal inference libraries).
• Expert-level SQL and experience with large datasets and distributed computing frameworks (e.g., Spark, Hadoop).
• Strong adherence to clean code principles and engineering best practices.
• Proven ability to translate complex analytical findings into actionable business insights for diverse audiences.
• Exceptional communication and collaboration skills, with a proven ability to work effectively in a fast-paced, cross-functional environment.
• Experience in the Real Estate industry or other market-driven domains is a plus.

Compensation: The base pay range for this position is $120,000-$170,000 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.

Do your best work, be your authentic self.

At Compass, we believe that everyone deserves to find their place in the world — a place where they feel like they belong, where they can be their authentic selves, where they can thrive. Our collaborative, energetic culture is grounded in our Compass Entrepreneurship Principles and our commitment to diversity, equity, inclusion, growth and mobility. As an equal opportunity employer, we offer competitive compensation packages, robust benefits and professional growth opportunities aimed at helping to improve our employees' lives and careers.

Notice for California Applicants

Los Angeles County Fair Chance Notice