- Target (Placerville, CA)
- …events. They protect profitable sales by mitigating shortage risks, preventing, theft and fraud to ensure product is available for our guest. They also build ... your team + Identifyingand developing strategic resolutions of external theft and fraud and apprehending individuals attempting to cause a loss consistent with… more
- Cardinal Health (Sacramento, CA)
- …to pharmaceutical distribution and services and group purchasing organizations, specifically AKS/ Fraud & Abuse + Identify opportunities for process improvements and ... firm or in-house healthcare experience preferred, including commercial transactions and fraud and abuse compliance expertise + Experience working with Group… more
- Meta (Menlo Park, CA)
- …of ranking, classification, recommendation, and optimization problems, eg payment fraud , click-through or conversion rate prediction, click- fraud detection, ... ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. 3. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and… more
- Meta (Menlo Park, CA)
- …on a range of classification and optimization problems, eg payment fraud , click-through or conversion rate prediction, click- fraud detection, ads/feed/search ... ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. 3. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based… more
- Meta (Sunnyvale, CA)
- …on a range of classification and optimization problems, eg payment fraud , click-through or conversion rate prediction, click- fraud detection, ads/feed/search ... ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. 3. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based… more
- Meta (Menlo Park, CA)
- …on a range of classification and optimization problems, eg payment fraud , click-through or conversion rate prediction, click- fraud detection, ads/feed/search ... ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. 3. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based… more
- Meta (Menlo Park, CA)
- …of ranking, classification, recommendation, and optimization problems, eg payment fraud , click-through or conversion rate prediction, click- fraud detection, ... ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. 3. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and… more
- Meta (Sunnyvale, CA)
- …on a range of classification and optimization problems like payment fraud , click-through rate prediction, click- fraud detection, search ranking, text/sentiment ... classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web. **Required Skills:**… more
- Meta (Menlo Park, CA)
- …on a range of classification and optimization problems, eg payment fraud , click-through or conversion rate prediction, click- fraud detection, ads/feed/search ... ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. 3. Working on problems of diverse scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.… more
- Meta (Menlo Park, CA)
- …on a range of classification and optimization problems, eg payment fraud , click-through or conversion rate prediction, click- fraud detection, ads/feed/search ... ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. 3. Working on problems of diverse scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.… more