Equifax · 1 day ago
Senior Data Scientist
United States
Full-time
Remote
Senior Level
7+ years expEquifax is seeking an innovative and experienced Senior Data Scientist to join their Data Innovations & Solutions team. In this role, you will be responsible for researching, building, and deploying cutting-edge AI and machine learning solutions to tackle complex challenges and create new data-driven products.
AnalyticsConsultingDatabase
Responsibilities
End-to-end design, development, and deployment of advanced machine learning, AI, and Generative AI models to power new product initiatives across the enterprise
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
Proactively collect, analyze, and interpret existing internal data and evaluate new, external data sources to identify and propose new product opportunities for our business units
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
Serve as a technical leader and mentor for junior data scientists and analysts, conducting code reviews, sharing best practices, and fostering a culture of innovation and excellence
Translate complex analytical findings and research outputs into clear, compelling presentations and strategic recommendations for diverse stakeholders, including senior leadership
Lead the development or projects with multiple deliverables, leveraging business and technical expertise
Qualification
Required
A Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field
7-10 years of hands-on experience building and deploying production-level data science solutions using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks
Experience with Agentic AI and writing algorithms
Proficient skills building models using packages including scikit learn, XGBoost, Tensorflow, PyTorch, Transformers
4+ years of experience in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow)
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)
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
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
Preferred
Demonstrable, hands-on experience building and fine-tuning LLMs, developing Retrieval-Augmented Generation (RAG) systems, and understanding the MLOps lifecycle for GenAI
1-3 years of Leadership/Team management experience
Prior experience working in the financial services industry (e.g., risk modeling, algorithmic trading, fraud detection, or compliance)
A portfolio or past experience building models specifically for data management (e.g., data quality anomaly detection, PII identification, automated data cataloging)
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
A history of publishing research in relevant AI/ML conferences or contributing to major open-source data science projects
Knowledge in graph mining and graph data model
Innate talent and passion for trying new technologies and quickly assessing value and implement ability within organizations
Company
Equifax
Equifax is a data, analytics, and technology company for automotive, healthcare, and insurance industries.
10001+ employees
H1B Sponsorship
Equifax has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (236)
2024 (296)
2023 (209)
2022 (301)
2021 (213)
2020 (179)
Funding
Current Stage
Public CompanyTotal Funding
$1M2009-09-04Post Ipo Equity· $1M
1971-05-11IPO
Leadership Team
John Gamble
Corporate Vice President, Chief Financial Officer
Trevor Burns
SVP Corporate Investor Relations
Recent News
2026-01-06
2025-12-20
MarketScreener
2025-12-18
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