Experian is looking to solve the problem of data-driven decision-making in the automotive industry 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, MATLAB).
- Experience 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.
- Experience with cloud platforms (e.g., AWS, Databricks)
- Experience with data visualization tools (e.g., Tableau)
- Experience with deep learning, graph-based models, and reinforcement learning
Responsibilities
- Build scalable data ecosystems to power advanced analytics, predictive modeling, and thoughtful decision-making.
- Aid in the development of forecasting and scenario modeling by integrating dynamic inputs, validating assumptions, and delivering forward-looking insights that anticipate risks and opportunities.
- Automate analytical workflows to accelerate speed-to-insight and reduce manual intervention.
- Use large-scale structured and unstructured data to uncover patterns, create applicable insights, and develop predictive and prescriptive models.
- Deploy advanced machine learning solutions—including deep learning, graph-based models, and reinforcement learning—to solve complex business and customer challenges.
- Maintain model development pipelines while driving proof-of-concept projects and rapid experimentation.
- Use modern analytics and cloud platforms (e.g., Python, AWS, Databricks, or Tableau) to create cutting-edge solutions.
Other
- Bachelor's in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Experience managing projects end-to-end, delivering impactful solutions, and meeting deadlines in fast-paced environments.
- Experience translating complex technical concepts into clear, relevant insights for team members.
- Ability to work in a fully remote environment
- Must be eligible to work in the U.S.
