Data Scientist II

🔥 4 minutes ago

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Radian

1001 - 5000 employees

Founded 1992

💸 Finance

🏠 Real Estate

Finance • Real Estate • Insurance

Radian is a company specializing in providing a wide range of financial services tailored to the real estate and mortgage industries. It offers mortgage insurance, title services, real estate services, and correspondent lending. The company aims to help clients transform risk into opportunity through advanced analytics and tailored risk management. Radian supports clients in effectively managing market fluctuations and enhancing liquidity options while ensuring efficient residential property valuations and transactions. With a focus on leveraging technology, Radian provides tools and platforms to streamline processes for its clients, empowering them to act with confidence in the complex housing and capital markets.

📋 Description

• Analyze data to support or disprove a thesis • Select and implement the right tools for the job • Build, train, test, and validate models • Engineer models into production • Document your work clearly • Monitor and improve models in production • Explore agentic and reasoning systems • Perform other duties as assigned

🎯 Requirements

• Bachelor's Degree or equivalent experience • 2+ years of prior work-related experience in AI • Hands-on AI experience working with LLMs via API/SDK and deploying ML or DL models • Strong foundation in linear algebra, calculus, probability, and statistical inference • Understanding of prompt engineering, RAG architectures, fine-tuning approaches • Strong command of supervised and unsupervised learning techniques • Evaluate LLM outputs critically • Familiarity with tokenization, context windows, and inference optimization • Deep learning expertise including CNNs, RNNs/LSTMs, transformers • Practical experience implementing Reinforcement Learning algorithms • Experience with model testing frameworks, model evaluation strategies • Strong Snowflake/SQL skills • Proficiency with pandas, NumPy, and data manipulation • Experience with data quality assessment, cleaning, and validation • Proficiency writing clean production-quality Python code • Familiarity with ML pipelines and feature engineering • Understanding of model serving patterns • Experience deploying and maintaining models over time • Working experience with AWS services • Familiarity with containerization and orchestration • Git version control and collaborative development practices • Experience with JIRA, Confluence, Slack, Jupyter notebooks, and Python packages • Knowledge of MLflow, Weights & Biases, or similar

🏖️ Benefits

• 25 days of paid time off annually • 9 paid holidays + 2 floating holidays • Parental leave for new parents • Multiple medical plan choices, including HSA and FSA options • Dental, vision, and basic life insurance • 401(k) with a top of market company match • Employee Stock Purchase Plan (ESPP)

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