Equifax
Senior Data Scientist - Fraud
USA - Georgia - Alpharetta - 30005 · Senior · Full-time
No sponsorshipDetected 1 day ago
PythonData StructuresAlgorithmsCode ReviewSQLBigQuerySnowflakeAWSGCPCloud PlatformsMachine LearningTensorFlowPyTorchscikit-learnPandasNumPySparkData ScienceData VisualizationNLPLLMsRAGMLOpsAI Orchestration
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odds of building a lasting career here
34Risky
Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Equifax is where you can power your possible.
- Qualified candidates will have a passion for data science, mathematics, statistics, AI/Machine learning, data gathering, and experience in financial modeling.
- The ideal candidate will come from a fraud background, deeply understanding the importance of fraud in the credit data space.
Responsibilities
- Design and deploy advanced fraud and credit risk models to mitigate threats across the enterprise.
- Develop and productionize innovative GenAI and LLM-driven solutions for complex fraud detection.
- Develop customer fraud models with exposure to various fraud types (e.g., account takeover, identity theft, payment fraud).
- Design and build novel algorithms to enhance our data governance, quality, and metadata management capabilities, creating new ways to automatically know and manage our data assets.
- Act as a senior technical consultant and partner to global teams, helping them frame their business problems, identify data-driven solutions, and overcome their most complex analytical challenges.
- Lead the development or projects with multiple deliverables, leveraging business and technical expertise.
- Lead the analytical strategy on critical technical capabilities for global company solutions.
- Work with key stakeholders to support development of proprietary analytical products and custom scores, effectively communicating the "so what" of the analysis using strong data visualizations and business language.
- Proficient skills building models using packages including scikit learn, XGBoost, Tensorflow, PyTorch, Transformers, etc.
- Excellent verbal and written communication skills, with a proven ability to collaborate effectively with cross-functional teams and present complex topics to non-technical audiences
Requirements
- 4+ years of experience in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)
- Experience with development and deployment of models in a cloud-based environment such as AWS or GCP.
Nice to have
- 4+ years of experience to work with massive (petabyte-scale) datasets using strong SQL and big data technologies (e.g., Spark, Dataflow, BigQuery, Snowflake) within a cloud environment (AWS, GCP-Preferred).
Compensation
- We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Benefits
- End-to-end design, development, and deployment of advanced machine learning, AI, and Generative AI models to power new product initiatives across the enterprise.
- Deep knowledge of classical machine learning, statistical modeling, and NLP.
- You should have a strong command of supervised and unsupervised learning, time-series analysis, and model validation techniques
- 2+ years' experience developing and leading the technical vision of an organization and working independently and closely with senior leadership to lead data science to continued success into the future
Company info
- What could set you apart
Visa & Work Authorization
- This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
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This listing is sourced directly from Equifax's careers page and normalized into a canonical job model.