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- Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
- Generate and test hypotheses and analyse and interpret the results of product experiments
- Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation
- Provide Business Intelligence (BI) and data visualization support, which includes, but is limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support
- Support the ‘must do’ compliance initiatives e.g. update Privacy Policies / Terms of Service and send related notifications
- Establish metrics to monitor and improve safeguards to ease future compliance
- Support experimentation and exploratory analysis to help the team evolve its compliance positions
- Support Privacy Area level initiatives to increase speed and scalability of Privacy work, e.g. developing tooling so that teams can self-serve regulatory work
- Privacy continues to be a company priority and the Privacy Areas DS team drives analytical work that influences company-wide product strategy across different areas of privacy work.
- Own a critical area providing enough room for growth and development. o If you are looking for challenging technical problems that are at the intersection of infra, regulation, and measurement, privacy areas is the place to be.
- Fun and energetic team that values the experience of working well together. We organize fun get-togethers so the team feels a sense of belonging while working on privacy problems as a team sport.
- 8+ years’ experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
- 8+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experimenting, designing, and communicating actionable insights]
- Experience in Risk Analytics or Compliance
- Experience in similar Tech organizations (Google, Amazon, Microsoft)
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
