Senior Data Scientist Risk - Prevalence
Senior Data Scientist Risk - Prevalence
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Job Description
Block is one company built from many blocks all united by the same purpose of economic empowerment. The blocks that form our foundational teams People Finance Counsel Hardware Information Security Platform Infrastructure Engineering and more provide support and guidance at the corporate level. They work across business groups and around the globe spanning time zones and disciplines to develop inclusive People policies forecast finances give legal counsel safeguard systems nurture new initiatives and more. Every challenge creates possibilities and we need different perspectives to see them all. Bring yours to Block.
The Role
This role will operate in the Compliance Data Science & Analytics team chartered to put data at the center of the organizations decisions. As we build out a bad activity prevalence sampling function we need a data scientist with a strong academic background in statistics fluency in the practical application of sampling methodologies and the ability to enact organizational change through their findings. They will partner with compliance risk and product teams to identify and measure new and existing areas of unwanted behavior in order to inform controls and compliance monitoring.
You Will
- Spearhead the design implementation and analysis of bad activity prevalence sampling studies
- Leverage appropriate sampling methodologies tailored to measuring risk of money laundering and terms of service violations ensuring studies provide an accurate picture of platform health
- Identify and mitigate potential biases and sampling errors to enhance the accuracy and reliability of findings
- Perform deep dive analysis into different customer segments and/or products to identify pockets of compliance risk and measure the effectiveness & impact of product controls
- Design and analyze experiments to assess the impact of compliance programs leveraging A/B testing and causal inference methods to drive actionable insights
- Own executivelevel reporting and metrics to measure risk and bad activity on the platform over time
- Collaborate with crossfunctional teams to translate insights into strategic actions and program recommendations
- Communicate complex statistical concepts and results to both technical and nontechnical audiences and influence teams to take action based on your recommendations
Were Targeting
- A Level 6 hire typical experience for L6 would be something like BSc 710 years; MSc 58 years; or a PhD 35 years
- A background in Statistics Mathematics Biostatistics Economics or related quantitative field
- Expertlevel knowledge of sampling methodologies with a proven ability to apply them in realworld scenarios and to identify and quantify sources of bias
- Expertlevel abilities in SQL and data analysis/visualization tools (i.e. Tableau Looker Mode Python libraries)
- Proficiency in scripting and data analysis programming languages such as Python or R
- Deep experience using data to solve complex ambiguous problems
- Vision to define problems and manage projects in a fastpaced evolving organization
- Track record of bringing data to life for any audience through written and verbal communication and data visualization
- Excellent communication and leadership abilities
Technologies We Use and Teach
- SQL
- Python
- Looker/Tableau
Required Experience:
Senior IC
Employment Type
Full Time
