Sr. Director Data Sciences
| Company | Early Warning |
|---|---|
| Location | San Francisco, CA, USA, Chicago, IL, USA, Scottsdale, AZ, USA, New York, NY, USA |
| Salary | $220000 – $270000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Expert or higher |
Requirements
- Bachelor’s Degree in Mathematics, Statistics, Computer Science, or related field
- 15 or more years data analytics experience (or equivalent combination of education and experience)
- 10 or more years efficient programming enabling manipulation and analysis of large data sets ideally with SQL, Python, R, or Scala
- 10 or more years of professional experience, including the development of large-scale analytic solutions, leading high-performing analytics, or data science project teams
- Demonstrated leadership experience and cross functional collaboration experience
- Excellent interpersonal, oral, and written communication skills.
- Excellent listening and execution skills
- Background and drug screen
Responsibilities
- Lead, grow and inspire a team of skilled analysts and data scientists ensuring they are successfully executing projects with the highest business impact
- Lead the design, development, deployment, and maintenance of analytically derived models
- Provide thought leadership internally within the enterprise and externally with financial institutions, partners, and industry associations by assessing industry trends and analytic technologies.
- Drive collaboration and exercise influence cross-functionally across analytics teams, product management, engineering, and technology organizations to deliver high-quality products and capabilities
- Lead budgeting and planning for team and resources as required
- Present clear and actionable insights to stakeholders across varying levels, areas of expertise, and degrees of technical knowledge
- Establish and maintain industry standard best practices and processes through all phases of the analytic development life cycle
- Oversee documentation of analytic solutions, standard analytical procedures, and methodologies
- Develop and present recommendations and POV on analytic environments and data strategy
- Protect the integrity and confidentiality of systems and data
- Convey responsiveness and competence when dealing with internal and external stakeholders
- Partner with various functional areas to develop an understanding of fields to which statistical techniques can be applied effectively
- Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data
Preferred Qualifications
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No preferred qualifications provided.