The Planet Group
Associate Fraud Risk Data Scientist
The Planet Group, San Jose, California, United States, 95199
Job Description
Job Title : Associate Fraud Risk Data Scientist Location : San Jose, CA Contract length : 12 months Schedule : Fulltime, M-F Pay : up to $50/hr, DOE
Associate Fraud Risk Data Scientist Overview: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects 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.
Associate Fraud Risk Data Scientist Qualifications:
2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelor's/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science (machine learning & AI) to solve complex business problems Proficiency in SQL, Python, AWS, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude in solving problems related to risk using data science and analytics Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.
Associate Fraud Risk Data Scientist Responsibilities:
Design and develop machine learning and AI models to detect/mitigate fraud Support stakeholders and cross-functional teams in effective usage of models Drive AI transformation for all risk management activities Work with product/engineering to implement, monitor and refine AI solutions and models
Expected Outcomes for the Associate Fraud Risk Data Scientist:
Work closely with team members and stakeholders to consult, design, develop, 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 deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud models implemented
The staffing industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it's from an official Planet domain (@theplanetgroup.com or @launchcg.com) - and not a domain with an alternative extension like .net, .org or .jobs.
The Planet Group and our companies are equal opportunity employers. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your recruiter, or contact us, so that we can discuss the appropriate alternatives available.
Job Title : Associate Fraud Risk Data Scientist Location : San Jose, CA Contract length : 12 months Schedule : Fulltime, M-F Pay : up to $50/hr, DOE
Associate Fraud Risk Data Scientist Overview: We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects 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.
Associate Fraud Risk Data Scientist Qualifications:
2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse. Bachelor's/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience Experience using statistics and data science (machine learning & AI) to solve complex business problems Proficiency in SQL, Python, AWS, Excel including key data science libraries Proficiency in data visualization including Tableau Experience working with large datasets Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau. Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact. Desirable to have experience or aptitude in solving problems related to risk using data science and analytics Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.
Associate Fraud Risk Data Scientist Responsibilities:
Design and develop machine learning and AI models to detect/mitigate fraud Support stakeholders and cross-functional teams in effective usage of models Drive AI transformation for all risk management activities Work with product/engineering to implement, monitor and refine AI solutions and models
Expected Outcomes for the Associate Fraud Risk Data Scientist:
Work closely with team members and stakeholders to consult, design, develop, 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 deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers. Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders. Development of dashboard and visualizations to track KPI of fraud models implemented
The staffing industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it's from an official Planet domain (@theplanetgroup.com or @launchcg.com) - and not a domain with an alternative extension like .net, .org or .jobs.
The Planet Group and our companies are equal opportunity employers. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your recruiter, or contact us, so that we can discuss the appropriate alternatives available.