At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. Join us and build an exceptional experience for yourself, and a better working world for all. This role is responsible for applying expertise and best practices in full-stack data science capabilities to develop data-driven solutions to enable business insights.
Requirements
- Apply strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services.
- Develop customer-centric solutions with recommended data model and business intelligence (BI) technologies.
- Create repeatable, interpretable, dynamic, and scalable statistical models that are seamlessly incorporated into analytic data products, ability to discover correlations between variables and generate predictions/forecasts of data-driven decisions.
- Extract, transform, and load data from one data source (e.g., Databricks) into a single, consistent data source for data modelling and workflow orchestration purposes (i.e., representations of data flows and relationships).
- Advocate and educate on the value of data-driven decision making with focus on “how and why” of solving problems.
- Oversee forecasting models that process and analyze large quantities of data to identify key trends and business insights.
- Review and refine data visualizations that are detailed, clear, multi-faceted, and user-focused to effectively communicate data insights throughout a narrative.
- Collaborate with business partners to identify analytical improvement opportunities based on defined pain points, problem statements, scope, and analytics business case.
- Strategize with IT Development Teams to develop a standard process to collect, ingest, and deliver data along with proper data models.
- Lead team members in defining business requirements, facilitating workshops and/or prototyping sessions focused on enhancing analytics product functionality.
- Collaborate with internal and external partners to develop analytics that advance end-to-end Data Science solutions and practices.
- Coordinate with DevOps, Database Teams to ensure proper design of system databases and integration with enterprise applications.
- Design data visualization solutions, with Enterprise Data and Analytics Team, that synthesize complex data for data mining, discovery.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance
