Experian Automotive is looking to hire a Data Scientist to shape the future of data-driven decision-making by designing and implementing advanced analytics solutions, standardizing and automating data processes, and developing statistical, machine learning, and forecasting models.
Requirements
- Proficiency in Python and experience with machine learning frameworks such as scikit-learn, XGBoost, or PyTorch
- Familiarity with SQL and statistical tools (e.g., R, SAS, or MATLAB)
- Hands-on experience with generative AI tools, large language models (LLMs), and advanced machine learning techniques including supervised, unsupervised, and time-series modeling
- Ability to deploy and scale models in production using cloud platforms (AWS, GCP, Azure) and tools like Databricks
- Experience with AWS services such as S3, Redshift, SageMaker, EMR, Kinesis, Lambda, or EC2
- Experienced in analyzing complex datasets and developing predictive models, experimental designs, and analytic plans to uncover insights and determine causal relationships
- Understanding of statistical modeling, forecasting, and performance optimization for machine learning algorithms
Responsibilities
- Design and implement advanced analytics solutions
- Standardize and automate data processes
- Develop statistical, machine learning, and forecasting models that power business intelligence and client insights
- Create next-generation algorithms
- Build intuitive data visualization tools
- Use new technologies—including generative AI and advanced modeling techniques—to solve challenges
- Guide automation, optimize analytical workflows, and deliver relevant insights that influence strategic decisions
Other
- Collaborating across Finance, Product, Operations, and Technology teams
- Report to Experian Automotive's Vice President of Product Management
- Ability to translate complex technical concepts into clear, relevant insights for diverse team members
- Experience managing projects end-to-end, delivering impactful solutions
- Fully remote environment
