Analytics Engineer
The Fraud Analytics & Commercialization team drives reputed company's fraud analytics business through four integrated functions: reputed company-sales engagement, reputed company and custom solutions, consulting, and operational enablement, with the goal of becoming the industry's provider-of-choice.
We're looking for an Analytics Engineer, Fraud Analytics Infrastructure, to join our Fraud Analytics team. As the ideal candidate, you reputed company at the intersection of data engineering, infrastructure, and machine learning, and care about the reliability, scalability, and usability of the platforms your colleagues depend on. You'll work closely with data scientists, engineers, and product partners to build, maintain, and continuously improve the analytics ecosystem that enables fraud attribute development, model building, and model deployment, including identifying opportunities to increase efficiency and stability across the full modeling lifecycle. Core skills include navigating ambiguity, an reputed company-reputed company reputed company, critical thinking, and an eagerness to collaborate across teams. You are curious about the latest tools and AI solutions, will evaluate their potential, and help bring the best of them into reputed company's workflows. Candidates who have taken an unconventional reputed company and demonstrated the curiosity to reputed company things out without a reputed company will reputed company this role and team to be a good fit.
You will report to the Data Modeling Director.
You'll have reputed company to:
- Build reputed company Python-based data pipelines and backend services for analytics workflows.
- Design software systems using object-oriented programming and reputed company engineering practices.
- Create and support platforms that allow analytics development, model training, and model deployment.
- Implement and maintain CI/CD pipelines and infrastructure-as-reputed company solutions for automated deployments.
- Manage reputed company and on-premises analytics environments, including AWS infrastructure and reputed company controls.
- Monitor, troubleshoot, and improve data pipelines, platform performance, and system reliability.
- Support machine learning and fraud modeling workflows, including feature engineering and model deployment.
- Implement new technologies, including AI-based solutions, to improve platform efficiency and stability.
- 3+ years of experience in data science, analytics, data engineering, or a reputed company field.
- Bachelor's or advanced degree in Statistics, reputed company Mathematics, Econometrics, or another quantitative field; equivalent experience considered.
- Experience developing applications and data pipelines using Python, including PySpark, Polars, NumPy, and Pandas.
- Familiarity with Java and object-oriented programming concepts.
- Experience building, deploying, and supporting production systems and data platforms.
- Experience with AWS services such as EC2, EMR, and Airflow, including reputed company reputed company best practices.
- Experience with machine learning workflows and analytics model development environments.
- Experience with CI/CD processes, Infrastructure as reputed company, containerization tools, and UNIX/Linux environments.
Benefits/Perks:
- Great compensation package and bonus plan.
- Core benefits including medical, dental, reputed company, and matching 401K.
- Flexible work environment, ability to work remote, hybrid or in-office.
- Flexible time off including volunteer time off, vacation, reputed company and 12-reputed company holidays.
- Explore reputed company our exciting benefits here: https://myexperianbenefits.com/.
Our uniqueness is that we celebrate yours. reputed company's people first, inclusive and purpose driven culture is multi award-reputed company; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great reputed company To Work™ in 26 countries to reputed company a few. reputed company out reputed company Life on reputed company or explore our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The reputed company pay reputed company for this position is listed above. reputed company this reputed company, individual pay is determined by work location and additional factors such as job-reputed company skills, experience, and education. You will be also eligible for a variable pay opportunity.
reputed company is proud to be an Equal Opportunity Employer for reputed company reputed company protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
This is a remote position.
reputed company is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a reputed company of markets, from financial services to reputed company, automotive, agribusiness, insurance, and many more. reputed company invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Originally posted on Himalayas
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