Senior Machine Learning Engineer - Homes.com

Job Description

At CoStar Group (NASDAQ: CSGP), a leading global provider of commercial and residential real estate information, analytics, and online marketplaces, we're on a mission to digitize the world’s real estate. Included in the S&P 500 Index and the NASDAQ 100, we empower everyone to discover properties, insights, and connections that enhance their businesses and lives.

Homes.com, a CoStar Group company, is one of the fastest-growing real estate portals in the industry. With over 20 years of expertise, we are committed to continually improving, innovating, and setting the standard for property search and marketing experiences. Our ambition is to be the top real estate marketplace, and we're searching for visionary thinkers, bold leaders, and creative minds to help redefine homebuying.

Learn more about Homes.com.

At CoStar, our real-time, verified real estate data aids clients in identifying lucrative opportunities and making informed decisions confidently. Combining the power of our independent research organization – the industry’s largest – with global data delivery, software, and application solutions, clients can act robustly on opportunities.

Machine Learning Engineers at CoStar are pivotal, delving into data from billions of page views, millions of images, extensive geographic data, and in-depth property content. We refine our vast property database, tailor customer experiences on our platforms, and develop innovative datasets and forecasts that set industry standards.

Responsibilities

• Design, build, test, and launch scalable machine learning and statistical models to process large data volumes.
• Conduct extensive statistical analyses, transforming results into actionable business insights for decision-makers.
• Collaborate with engineers, product owners, and leadership teams to address business queries using big data.
• Automate data processing and manage data pipelines for efficient data handling.
• Relay complex technical concepts to non-technical stakeholders and understand CoStar business deeply to pinpoint improvement opportunities.

Basic Qualifications

• Master’s Degree in Computer Science, Statistics, Data Science, or a related field from an accredited university. A PhD is highly preferred.
• Consistent track record of commitment to previous employers.
• At least 2+ years of professional experience as a Machine Learning Engineer or Data Scientist for PhD holders, or 5+ years for Master’s degree holders.
• Proficient in Python and adept with machine learning libraries such as scikit-learn, statsmodels, pandas, and matplotlib.
• Strong mathematical and analytical skills.
• Exceptional ability to derive actionable business insights from data analysis.
• Excellent communication skills for presenting complex technical concepts to non-technical stakeholders.

Preferred Qualifications

• Experience with data platforms and analytics technologies like Snowflake and Databricks.
• Background working in cross-functional teams.
• Proficiency with version control systems such as Git.
• Experience with shell scripting for automation and data pipeline tasks.

Benefits of Joining CoStar Group

At CoStar Group, you will experience a collaborative and innovative culture. We offer generous compensation, performance-based incentives, and invest in your professional and academic growth through internal training, tuition reimbursement, and an inter-office exchange program.

Our comprehensive benefits package includes:

• Comprehensive healthcare coverage: Medical, Vision, Dental, Prescription Drug
• Life, legal, and supplementary insurance
• Virtual and in-person mental health counseling services for individuals and families
• Commuter and parking benefits
• 401(K) retirement plan with matching contributions
• Employee stock purchase plan
• Paid time off
• Tuition reimbursement
• On-site fitness center and/or reimbursed fitness center memberships, including yoga studio, Peloton bikes, personal training, and group classes (location-dependent)
• Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups
• Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and healthy snacks

We welcome all qualified candidates eligible to work full-time in the