Anduril Industries is seeking a Data Scientist (Contract) to build machine learning models that directly drive customer acquisition and lending decisions. You will work across the full modeling lifecycle in a high-impact role where statistical rigor translates directly into business results.
What You'll Do
- Build machine learning models for prescreen direct mail campaign targeting; your models will directly impact customer acquisition and lending decisions.
- Perform rigorous model calibration to ensure predicted probabilities accurately reflect actual outcomes and drive reliable business decisions.
- Design, implement, and deploy innovative data science solutions to bring data-driven prescreen strategies to life at scale.
- Collaborate cross-functionally with Marketing, Risk Analytics, Product, and Engineering teams to translate analytical insights into executable strategies.
- Monitor and optimize campaign performance metrics (response rates, conversion rates, approval rates, ROI) with continuous improvement.
What We're Looking For
- 4+ years of business experience working with and analyzing large datasets to solve marketing or risk problems.
- Demonstrated success in a similar role (prescreen campaigns, direct marketing analytics, or customer acquisition modeling).
- Advanced formal training in statistics — MS or PhD in a quantitative field (Statistics, Physics, Mathematics, Economics, Engineering, Natural Sciences, Operations Research) with rigorous statistical foundations.
- Proven experience with model calibration techniques.
- Expert knowledge of Python/R and SQL for data manipulation, statistical analysis, and machine learning.
- Experience with AWS technical stack and data infrastructure (Spark, Hive, Hadoop, EMR, or similar distributed computing frameworks).
- Deep knowledge of statistics, machine learning (logistic regression, ensemble methods, clustering), and optimization techniques.
- Ability to communicate complex quantitative analyses in a clear, precise, and actionable manner to both technical and non-technical stakeholders.
Technical Stack
- Python, R, SQL
- AWS
- Spark, Hive, Hadoop, EMR
Team & Environment
You will report to the Director of Data Science.
Benefits & Compensation
- Potential to convert to a full-time, salaried employee status (with full benefits) based on performance and business needs.
- Compensation: $75 - $80/hour.
Work Mode
This is a local-country position open to candidates in: AL, AZ, DE, FL, GA, IL, IA, KS, MI, MN, NV, NC, OH, PA, SC, TN, TX, UT, VA, WI.
