
51 - 200 employees
Founded 2011
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
💰 Private Equity Round on 2021-01
Healthcare Insurance • Artificial Intelligence • Fraud Prevention
Healthcare Fraud Shield is a company specializing in Payment Integrity and Cost Containment solutions for healthcare insurers. They offer a comprehensive, AI-driven platform that incorporates advanced anomaly detection and a proprietary data fusion library to combat fraud, waste, abuse, and errors in healthcare claims. Their robust end-to-end solution optimizes the auditing process, utilizing both pre- and post-payment data to maximize savings and improve accuracy in claim processing. By providing actionable insights and expert support, Healthcare Fraud Shield helps organizations achieve significant annual savings and enhance operational efficiency.
🕒 May 12
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2011
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
💰 Private Equity Round on 2021-01
Healthcare Insurance • Artificial Intelligence • Fraud Prevention
Healthcare Fraud Shield is a company specializing in Payment Integrity and Cost Containment solutions for healthcare insurers. They offer a comprehensive, AI-driven platform that incorporates advanced anomaly detection and a proprietary data fusion library to combat fraud, waste, abuse, and errors in healthcare claims. Their robust end-to-end solution optimizes the auditing process, utilizing both pre- and post-payment data to maximize savings and improve accuracy in claim processing. By providing actionable insights and expert support, Healthcare Fraud Shield helps organizations achieve significant annual savings and enhance operational efficiency.
• - Provide technical contributions in a fast-paced R&D team environment to accelerate our efforts on building new analytics. • - Utilize advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions. • - Analyze data sets and develop models to predict fraud, waste, and abuse. • - Document and present results to internal team members for development and inclusion in company products and analysis. • - Satisfies all applicable requirements imposed by applicable Company customers, clients, or business partners, with respect to the relationship and role. • - Understands and complies with all company Privacy and Security standards. • - This job requires access to confidential and sensitive information, requiring ongoing discretion and secure information management.
• - Strong in mathematics and statistics • - Experience coding and modeling using Python • - Experience with SQL • - Strong language skills, with the ability to develop and implement natural language prompts for prompt engineering applications • - Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the subject matter with team members
• - Medical, Dental & Vision insurance • - 401(k) retirement savings with employer match vesting immediately • - Vacation and sick paid time off • - 7 paid holidays & 2 floating holidays • - Paid maternity/paternity leave • - Disability & Life insurance • - Flexible Spending Account (FSA) • - Employee Assistance Program (EAP) • - Free on-site fitness center • - Professional and career development initiatives • - Remote work eligible
Apply Now🕒 May 12
Senior Data Scientist at Wikimedia Foundation bridging complex datasets and strategic action. Analyzing search trends and user behavior to inform strategic decision-making.
🇺🇸 United States – Remote
💵 $106.2k - $167.9k / year
💰 $2.5M Grant on 2019-09
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
🕒 May 12
Data Scientist responsible for implementing advanced fraud detection models at Oscilar, enhancing AI-driven decision-making. Collaborate with diverse teams to protect businesses from fraud.
🕒 May 12
Senior Data Science Manager leading analytics and machine learning for marketing growth at PrizePicks. Collaborating across departments and mentoring data science professionals.
🕒 May 11
Data Science Manager overseeing pricing strategy for fantasy markets at PrizePicks. Leading a team of analysts and driving initiatives for optimal pricing and risk management.
🕒 May 11
Data Science Manager at PrizePicks overseeing a team for fantasy sports markets. Focusing on line setting strategy, projection accuracy, and cross-functional collaboration.