Early Warning Servicesposted 2 months ago
$220,000 - $270,000/Yr
Full-time • Senior
Hybrid • San Francisco, CA
Credit Intermediation and Related Activities

About the position

The Sr Director of Data Sciences is responsible for building and developing a high performing team while supporting product delivery with insights and innovation. This position involves leading a team of skilled analysts and data scientists, ensuring successful project execution with high business impact, and driving collaboration across various teams to deliver high-quality products and capabilities.

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
  • 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

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

Benefits

  • Healthcare Coverage - Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses
  • 401(k) Retirement Plan - Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility
  • Paid Time Off - Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day
  • 12 weeks of Paid Parental Leave
  • Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service