Senior Data Scientist

Bright MLS, Inc•North Bethesda, MD

3h•$140,000 - $170,000

About The Position

As a leading data technology company and the largest multiple listing service (MLS) in the United States, Bright MLS sits at the heart of some of the most powerful real estate markets in the country. Our platform powers more than 430,000 listings annually, supports over 100,000 real estate professionals, and touches the lives of more than half a million buyers and sellers every month across the Mid Atlantic six states and the District of Columbia. But we’re more than numbers. We’re innovators, technologists, researchers, and storytellers working together to redefine what it means to be an MLS. With real-time data, deep market intelligence, and industry-leading tools, we’re shaping the future of real estate—and we’re just getting started. At Bright, you’ll find a place where your voice matters, your work has purpose, and your ideas help move the industry forward. We’re collaborative, mission-driven, and passionate about using technology to make the housing market better for everyone. If you're ready to do meaningful work at a company that values innovation and impact—we’d love to meet you. Learn more about BrightMLS.com [http://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.

Requirements

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

Nice To Haves

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

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.