Applyπ United States
π§ Full-Time
π Advertising Technology
π’ Company: StackAdaptπ₯ 1001-5000π° $711.6k Series A on 2016-01-28Digital MarketingAdvertisingVideo AdvertisingAdvertising PlatformsAd TargetingMobile AdvertisingMachine LearningMarketingAd Retargeting
- Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
- Have the ability to take an ambiguously defined task, and break it down into actionable steps.
- Have a comprehensive understanding of statistics, optimization and machine learning.
- At least 4 years experience in Finance Data Science.
- Bring an analytical mind to the work blending data science and internal business operations and analytics.
- Are proficient in coding, data structures, and algorithms.
- Enjoy working in a friendly, collaborative environment with others.
- Build predictive and optimization models to guide company resourcing decisions.
- Build credit limit and collection decisioning models to support company financial health.
- Make Data Science modeling accessible to non-experts through usage of the right tools for typical prediction tasks.
- Support in the modeling of annual and long range revenue planning.
- Implement time series forecasting to predict revenue from clients, especially when it is likely to grow or decrease.
- Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights.
- Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms in production.
PythonData AnalysisMachine LearningNumpyC (Programming language)AlgorithmsData analysisData scienceData StructuresGoPandasAnalytical SkillsCollaborationMicrosoft Excel
Posted 2024-08-30
Apply