Senior Data Scientist at Experian - Remote USA — Columbus
Traveler-Friendly Insight
Remote-Friendly with US Restrictions: This role is tagged #LI-Remote and explicitly offers remote, hybrid, or in-office work. However, Experian's compensation is pegged to U.S. geographic markets, strongly implying this position is limited to U.S.-based workers. Non-US digital nomads are unlikely to qualify.
Timezone & Schedule Flexibility: No fixed hours or specific timezone requirements are stated, which is a positive signal for async-friendly work. As part of an R&D Innovation Lab, the role likely involves deep-focus, project-based work that can accommodate flexible scheduling — though collaboration with U.S.-based teams may anchor some synchronous hours to U.S. time zones (ET/PT overlap).
Visa Considerations for US-Based Nomads: If you're a U.S. citizen or permanent resident, this role is well-suited to a location-independent lifestyle. You could base yourself in lower cost-of-living U.S. cities and retain full benefits eligibility.
- Lisbon, Portugal: Monthly cost ~$2,200–$2,800; senior data scientist salaries in the US far exceed local rates, making this a strong arbitrage — but you'd need to confirm Experian's policy on working from abroad.
- Bangkok, Thailand: Monthly cost ~$1,500–$2,000; similarly excellent value, but US employment tax obligations remain regardless of location.
- Medellín, Colombia: Monthly cost ~$1,200–$1,800; favorable for savings, though again, US employer restrictions may limit international stays.
Travel Perks: No explicit coworking stipend or travel budget is mentioned. The flexible PTO and 12 paid holidays do support extended travel periods for US-domiciled remote workers.
Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian 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.
Job Description
Experian Innovation Lab is a research and development unit at Experian formed with the desire to work in collaboration with Experian's departments to enhance relationships with clients and acquire strategic datasets. Experian® is a global leader in providing information, analytical tools and marketing services to organizations and consumers to help manage the risk and reward of commercial and financial decisions.
As a Senior Data Scientist at the Experian Innovation Lab, your role will be to research and develop analytical solutions, prototype new products, and evaluate data assets. You must bring experience in predictive modeling, machine learning, and deep learning to this position. You will report to the Sr. Principal Data Scientist.
You'll have the opportunity to:
- Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
- Unearth data value by selecting and applying the right machine learning, deep learning, and processing techniques.
- Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
- Innovate with tools designed for data processing and information retrieval.
- Dissect and document vast datasets, analyzing them to highlight patterns and insights.
- Solve complex challenges by developing impactful algorithms.
- Ensure model excellence by validating performance scores and analyzing return on investment and benefits.
Qualifications
- PhD degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
- 2+ years of experience in AI, data science, or predictive modeling.
- Proficiency in multiple programming languages, including Python.
- Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
- Experience with open-source tools for deep learning and machine learning such as PyTorch, Keras, TensorFlow, scikit-learn, and pandas.
- Experience with large data analysis using PySpark.
- Experience with LLMs and relevant tools in the Generative AI domain.
- Experience with Hadoop and NoSQL-related technologies such as MapReduce, Hive, HBase, MongoDB, and Cassandra.
- Experience modifying and applying advanced algorithms to address practical problems.
- Experience with online and mobile marketing analytics.
- Experience with GPU programming.
Benefits & Perks
- Great compensation package and bonus plan.
- Core benefits including medical, dental, vision, and matching 401(k).
- Flexible work environment — ability to work remote, hybrid, or in-office.
- Flexible time off including volunteer time off, vacation, sick days, and 12 paid holidays.
- Explore all benefits here: https://yourexperianbenefits.com/cand-index.html
Our uniqueness is that we celebrate yours. Experian's people-first, inclusive, and purpose-driven culture is multi-award-winning: World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries, and more.
Our compensation reflects the cost of labor across several U.S. geographic markets. Within the listed range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups 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.
Recruitment Fraud Awareness — Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
Frequently Asked Questions
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