In this role, the selected candidate will be responsible for providing the data support for enterprise data integration tasks, including ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications.
The Analytics Research and Development team within the clients Global Data, Insight and Analytics (GDIA) organization is looking for a highly skilled quantitative analyst / data scientist to assist in all levels of model development, evaluation, and deployment.
In this role, the selected candidate will be responsible for the evaluation of data accuracy, completeness, timeliness and stability and establishing repeatable, sustainable processes to maintain data including the understanding of all preprocesses prior to ingestion into Hadoop.
The analyst will have significant autonomy in conducting research and selecting modeling methodologies. Research and apply the latest quantitative techniques toward the solution of important business problems.
As a Data Scientist youll be responsible for creating and designing new reports independently based on anticipated future needs. Experience in predictive analysis and modeling is required. Will utilize advanced statistical, mathematical and predictive modeling as well as business strategy skills to build algorithms.
In this role, the selected candidate will develop the analytics for the enterprise software application in collaboration with software developers, translating theory and prototype methods and software into commercial grade software meeting client requirements.
In this role, you will develop models to support forecasts and scenario analyses for demand, pricing, volume, and product and technology development with considering the macroeconomic and automotive environment.
The Data Scientist is responsible for litigation analysis, benchmarking of product liability claims, plaintiffs attorneys, and defense attorneys, and identifying emerging vehicle issues within the privileged legal database.