Hybrid Senior Data Scientist at Bright MLS

Senior Data Scientist

Home. It’s a word that holds a special place at Bright MLS. At its core, it’s shelter. But it’s also so much more. Family. Community. Safety. A place where you can be your fullest, truest self. That’s the word that inspires all of us at Bright to do the work that we do -- Ensuring an open, clear, and competitive housing market for ALL.

Our company –and our brand –are reflective of the diverse communities that make up our market. Our employees represent a diverse mix of backgrounds, cultures and experiences, so much so that Bright’s been named as one of the most diverse employers in the area by the Washington Business Journal –2 years in a row. 

Bright MLS is the engine that powers the real estate market in the Mid-Atlantic U.S. - supporting over $100B in transactions yearly. It is the single source for all data on Mid-Atlantic residential real estate - anywhere. As a Multiple Listing Service (MLS), our technology solutions connect real estate professionals with other real estate professionals and their clients, providing an open and accessible marketplace for buying and selling real estate. 

We’re redefining what it means to be an MLS, and we’d love to have YOU here with us helping tell a Brighter story to the world.  To learn more, please visit www.brightmls.com. 

Overview: As a Senior Data Scientist, you will lead the development of advanced data-driven models and applications to drive insights and innovation within our organization. Your expertise will be instrumental in refining existing models and creating new ones to solve complex business challenges.

Responsibilities: 

• Work with large and complex real estate data sets to extract meaningful insights and patterns and solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply predictive and quantitative analysis, experimentation, data mining, and data visualizations to develop strategies for our product, reporting and research teams.
• Innovate, define, understand, design, and build prototypes of AI/ML models to drive our product roadmap.
• Hands-on development of MLOps, including creating training and testing data sets, model training, testing, and deployment.
• Continuously refine and optimize ML models to improve accuracy and performance.
• Develop methodologies for evaluating model performance, including A/B testing and cross-validation.
• Identify and measure success of product features through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Partner with Product, Engineering, Research and other cross functional teams to understand business needs and translate them into data-driven solutions and drive business decisions.
• Stay up-to-date with cutting edge MLOps and AI technologies.

Required Skills/Education:

• Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science or a related quantitative field.
• 5+ years of hands-on experience in data science, analytics, AI, and MLOps
• Expert in SQL and advance SQL
• Proficient in Python or R
• Proficient in ML frameworks, tools, and libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, Jupyter Notebook
• Strong data manipulation, data wrangling, and data mining skills for analysis
• Experience with predictive modeling, ML, data wrangling, data cleaning
• Expert in Databricks, AWS Sagemaker, Rekognition, Redshift, Comprehend, Lex
• Excellent problem-solving skills with a creative and analytical mindset
• Strong communication skills to convey complex technical concepts effectively to technical and non-technical stakeholders

Preferred Skills/Education: 

• Master’s degree or a Ph.D. in a quantitative field is a plus
• Experience with AWS Lambda or Glue jobs
• AWS Architect Certification is a plus

The salary range for this position is $140,000 to $170,000, based on experience, skills, and qualifications. This position is also eligible for annual performance-based bonuses. Our comprehensive benefits package includes individual and family health, vision, and dental coverage, 401(k) plan with employer-matching, and Paid Time Off (PTO) and holidays.

It is the company's policy to recruit, hire, train and promote individuals, as well as to administer any and all personnel actions, without regard to race, color, religion, age, sex (including gender identity, sexual orientation, and pregnancy), marital status, national origin, disability, genetic information, ancestry, military status or any other unlawfully prohibited characteristic in accordance with applicable laws