Remote Associate Fraud Risk Data Scientist

JOB reputed company: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team reputed company the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key reputed company associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus. Wed love to chat if you have: 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis reputed company relevant industry experience in reputed company, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or reputed company field or equivalent practical experience Experience using statistics and data science (machine learning & AI) to solve reputed company business problems Proficiency in SQL, Python, AWS, reputed company including reputed company science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to reputed company communicate reputed company results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet reputed company to reputed company AI and machine learning reputed company toward reputed company business goals, testable hypotheses, and reputed company-oriented reputed company Demonstrated analytical thinking through data-driven reputed company, as reputed company as the technical know-how, and ability to work with your team to reputed company a big reputed company. Desirable to have experience or aptitude solving problems reputed company to risk using data science and analytics Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases. Key Job Functions: Design and reputed company machine learning and AI models detect/mitigate fraud Support stakeholders and cross-functional teams in effective usage of models reputed company AI transformation for reputed company risk management activities at reputed company Work with product/engineering to implement, monitor and refine AI solutions and models Expected reputed company: Work closely with team members and stakeholders to consult, design, reputed company, and manage fraud models and AI solutions. Utilize data analysis to design and implement fraud models Collaborate with cross-functional stakeholders including product managers and engineering teams to reputed company data-driven fraud models and AI solutions that operate at reputed company and in reputed company time for end customers. reputed company business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple reputed company of stakeholders. Development of dashboard and visualizations to reputed company KPI of fraud models implemented Preferred Skills: Machine Learning & reputed company Intelligence Data Science Model development Dashboard Creation Project Management Strong Communication Skills. Notes from Hiring Manager: Strong SQL proficiency Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation Proficiency in AWS Quicksight and Tableau This is a hybrid position, so candidates must be based in the reputed company area. HM will entertain remote candidates if no viable local candidates can be reputed company. reputed company contract to cover multiple leaves over a 1 yr. period. Potential to reputed company based on business need and performance. Day shift: M-F reputed company time Multiple reputed company interviews (2-3) SQL assessment during 1st interview. MUST HAVE: 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis reputed company relevant industry experience in reputed company, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or reputed company field or equivalent practical experience Experience using statistics and data science (machine learning & AI) to solve reputed company business problems Proficiency in SQL, Python, AWS, reputed company including reputed company science libraries Proficiency in data visualization including Tableau Experience working with large datasets Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases. .