Senior Data Scientist
Bright MLS, Inc•North Bethesda, MD
•$140,000 - $170,000
About The Position
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.
Benefits
- individual and family health, vision, and dental coverage
- 401(k) plan with employer-matching
- Paid Time Off (PTO) and holidays
- annual performance-based bonuses
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
