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 eCommerce, 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
• Drive 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 eCommerce, 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.

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