Senior Analyst, Analytics Development – Model Governance

🕒 Yesterday

🇺🇸 United States – Remote

💵 $89.9k - $155.8k / year

⏰ Full Time

🟠 Senior

🎲 Risk

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Develop, validate, and optimize statistical and machine learning models, including regression and XGBoost, to detect and prevent fraud. • Design and implement features to improve model performance and stability. • Build tools and frameworks to support scalable model development, evaluation, and monitoring. • Evaluate model performance and conduct comparative analyses across approaches. • Perform exploratory data analysis and assess data quality across diverse datasets. • Enrich and integrate data from internal and external sources. • Package, deploy, and support models in production environments. • Conduct model governance activities, including validation, documentation, and ongoing monitoring. • Produce reports, visualizations, and summaries to support decision-making.

🎯 Requirements

• 2+ years of experience in data science, analytics, or a related field. • Degree (undergraduate or graduate) in Statistics, Applied Mathematics, Econometrics, or another quantitative discipline, or an equivalent combination of education and experience. • Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas. • Solid foundation in statistics and machine learning best practices. • Experience with regression, XGBoost, and other core ML algorithms. • Hands-on experience across the full model lifecycle: data ingestion, EDA, modeling, validation, and deployment. • Experience building or supporting model development tools or pipelines. • Familiarity with model governance frameworks covering validation, monitoring, and documentation. • Experience communicating analytical concepts to diverse audiences. • Experience working with large-scale data processing frameworks such as Spark. • Proficiency in UNIX/Linux environments and scripting, including Bash. • Familiarity with object-oriented programming principles. • Exposure to cloud platforms (AWS preferred). • Experience debugging or supporting production systems; bonus: Java familiarity.

🏖️ Benefits

• Great compensation package and bonus plan. • Core benefits including medical, dental, vision, and matching 401K. • Flexible work environment, ability to work remote, hybrid or in-office. • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.