Leads proliferation of machine learning and artificial intelligence throughout the enterprise. Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining.
Requirements
- Ability to leverage a wide variety of data science tools and frameworks.
- Ability to support data exploration and data analysis tasks in support of analytics objectives.
- Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques.
- Proficiency in statistical modeling applications.
- Proficiency in advanced SQL in multiple syntaxes.
Responsibilities
- Leads all data mining and extraction activities and applies algorithms to derive insights.
- Synthesizes analytical findings for consumption by the teams and senior executives.
- Leads proliferation of machine learning and artificial intelligence solutions.
- Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.
- Mentors and develops junior data scientists for advanced data analysis.
- Translates business priorities and creates data science deliverables.
- Leads implementation of ML/AI/DS best practices for new data products and builds robust and scalable software.
Other
- Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models.
- Leads interactions between analytics, business units and other departments.
- Ability to communicate effectively and document objectives and procedures.
- Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence.
- Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.
- Must be eligible to work in the U.S. without Sponsorship
