Data Scientist II

Radian

Data Scientist II role at Radian focusing on computer vision and machine learning in real estate. Taking ownership of data science projects and collaborating with teams for innovative solutions.

Posted 6/5/2026full-timeRemote • Maryland • 🇺🇸 United StatesJuniorMid-Level💰 $98,000 - $148,000 per yearWebsite

Tech Stack

Tools & technologies

AWSNumpyPandasPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AILLMsML modelsDL modelslinear algebracalculusprobabilitystatistical inferencedeep learningReinforcement Learning

Soft Skills

analytical skillsdocumentationcritical evaluationproblem-solvingcommunication

Certifications

Bachelor's Degree