Lead Data Scientist – Software Engineering

🔥 16 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

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FICO

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1956

💼 Consulting

🛡️ Insurance

🏥 Healthcare

Consulting • Insurance • Healthcare

FICO is a leading analytics and software company renowned for its FICO® Score, a tool widely used by lenders to assess credit risk. The company offers a comprehensive platform that leverages data, AI, and machine learning to power intelligent decision-making and customer engagement across various industries. FICO's solutions span fraud detection, credit scoring, and customer lifecycle management, making it vital to sectors such as finance and telecommunications. Its innovative products help businesses optimize outcomes through real-time analytics, business composability, and scenario management.

📋 Description

• Build and maintain Python data pipelines that ingest, clean, and transform large datasets into reliable, analysis-ready data and ML features • Profile and validate data and implement quality checks • Develop machine learning models for propensity, churn, segmentation, and forecasting from problem framing through evaluation • Deploy models to AWS for batch and real-time scoring • Monitor model performance and drift and automate retraining • Design, evaluate, and improve LLM prompts • Integrate Generative AI capabilities into existing consumer applications • Design and analyze A/B tests to measure business impact • Explain results to product and marketing partners • Lead design discussions and code reviews • Mentor engineers and analysts and establish ML engineering best practices • Partner with database engineering, product management, and InfoSec to build secure, compliant solutions for sensitive consumer data • Use AI coding assistants and agentic workflows, including Claude Code, Cursor, and GitHub Copilot, while reviewing and refining their output

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field • Demonstrated experience in data science, machine learning engineering, or applied AI, including models running in production • Strong Python for data engineering and ML, including pandas, NumPy, scikit-learn, and PySpark • Comfort working in Jupyter notebooks • Experience building data pipelines and processing large datasets with Spark, Redshift, or similar technologies • Expert SQL skills for complex queries on large datasets • Hands-on experience with XGBoost, TensorFlow, or PyTorch • Experience operationalizing ML models, including deployment, monitoring, retraining, and CI/CD • Experience with SageMaker, MLflow, Docker, or similar tools • Experience running data and ML workloads in AWS, including S3, Glue, Lambda, and Bedrock or similar services • Experience with LLMs such as Claude or OpenAI GPT, including prompt design, evaluation, and deploying Generative AI solutions in production • Strong grounding in statistics, experimental design, and hypothesis testing • Production ownership, including code review, release management, and mentoring • Ability to explain technical results to non-technical partners • Experience with RAG workflows, vector stores, MCP server integrations, LLM fine-tuning, workflow orchestration, or regulated consumer data is a plus

🏖️ Benefits

• Highly competitive compensation, benefits and rewards programs • Work/life balance • Employee resource groups • Social events • Valuable learning experiences • Professional development opportunities • Inclusive, people-first work environment

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