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SeniorFull-timeMachine LearningAI
Salary Range
$47,239 - $63,911 /year
This salary is estimated based on similar roles. The actual salary may vary.
We are seeking a Data Scientist to join our Data Enrichment team focused on improving data quality, operational efficiency, and business decision-making within a large-scale commercial data repository. This role blends hands-on modeling, technical leadership, and cross-functional collaboration to drive measurable improvements in data assets and business processes.
Reporting to the Manager of Data Analytics, you will play a key leadership role in designing, developing, and deploying machine learning and GenAI-driven solutions that enhance data quality, automation, and insight generation across commercial financial services data domains.
Responsibilities:
• Design and deploy scalable machine learning solutions to improve data quality, matching, classification, and automation.
• Apply advanced analytics and generative AI to enhance data enrichment and ongoing data maintenance.
• Drive analytical projects from problem definition through deployment and ongoing monitoring, in partnership with cross‑functional teams.
• Establish and follow best practices for model governance, testing, documentation, and performance tracking.
• Build and maintain reliable data pipelines and feature workflows using distributed data technologies.
• Develop production‑ready SQL to integrate and transform structured and semi‑structured data.
• Create reusable tools and components to streamline data processing, scoring, and monitoring.
• Define and track key metrics to measure model effectiveness and operational improvement.
• Partner across Data Governance, Technology, Product, and Operations to address data quality and process opportunities.
• Communicate insights through clear storytelling, visuals, and executive‑ready presentations.
• Maintain strong standards for code quality, experimentation, and documentation, with a focus on collaboration and continuous improvement.
• Stay informed on advances in machine learning, generative AI, and cloud technologies.
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About Experian
Experian is a global information services company that specializes in providing data and analytics solutions to businesses and consumers. Headquartered in Dublin, Ireland, with a presence in over 44 countries, Experian has been a leader in the information services industry since its inception in 1996. The company leverages advanced technology and extensive data resources to help organizations make informed decisions, mitigate risk, and identify growth opportunities. Its services are integral to sectors such as finance, retail, telecommunications, and healthcare, where accurate data is critical for operational efficiency and strategic planning. Experian offers a comprehensive suite of products and services, including credit reporting, fraud detection, marketing analytics, and decision automation. Key features of their solutions include real-time data processing, predictive analytics, and customizable reporting tools that enable clients to gain actionable insights. The company primarily targets financial institutions, retailers, and telecommunications providers, helping them manage credit risk, combat fraud, and enhance customer engagement. Additionally, Experian provides consumer credit reports and identity protection services, catering to individuals seeking financial transparency and security. Experian has established itself as a market leader, recognized for its innovative use of data and technology to solve complex business challenges. The company holds a significant market share in the information services industry, supported by its robust global infrastructure and commitment to data accuracy and compliance. Experian’s unique value proposition lies in its ability to integrate vast datasets with cutting-edge analytics, providing clients with unparalleled insights that drive business success and regulatory compliance. Its dedication to data privacy and ethical practices further reinforces its reputation as a trusted partner in the information services sector.
