Senior Software Engineer, Machine Learning - Remote Eligible

Employer Industry: Real Estate Technology

• Salary up to $203,900
• Competitive compensation packages including bonuses and restricted stock grants
• Generous benefits, including paid vacation, medical, dental, and vision insurance, and fully paid family leave
• Opportunities for continued professional development and career growth within a high‑growth company
• Hybrid work model with flexibility for remote work outside of required in‑office days

• Design and implement advanced statistical models and machine learning algorithms to address complex real estate challenges
• Perform comprehensive Exploratory Data Analysis (EDA) to understand data structure and optimize model performance
• Co‑create data‑driven insights for automated valuation and recommender systems
• Identify and implement improvements to machine learning models that enhance customer‑facing experiences
• Assist engineers and stakeholders in understanding and utilizing data science methodologies and findings

• 5+ years of experience in data science, statistical modeling, and software engineering
• Required skills:
  
  4+ years of experience with Python (Scikit‑learn, PyTorch, Tensor Flow/Keras, Num Py, Pandas, XGBoost), SQL, A/B testing, statistical modeling, and data visualization
• Experience developing large‑scale data applications backed by relational and non‑relational databases
• Bachelor's degree in Computer Science, Statistics, Mathematics, or equivalent work experience
• Strong communication skills to clearly convey complex problems and findings to the team

• Experience with Recommender Systems
• Familiarity with Spark, Apache Airflow, and AWS (S3, Dynamo
  
  DB, Lambda, Kinesis, Sage Maker)
• Passion for inventing and applying advanced analytical and machine learning techniques to solve business problems
• Ability to take data science projects from inception through to deployment

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