Talent.com
Data Science Consultant

Data Science Consultant

OpenkyberCA, United States
job_description.job_card.variable_hours_ago
serp_jobs.job_preview.job_type
  • serp_jobs.job_card.full_time
  • serp_jobs.filters_job_card.quick_apply
job_description.job_card.job_description

Job Title : Associate Fraud Risk Data Location : San Jose, CA (Hybrid)

Job Description :

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.

We'd love to chat if you have :

  • 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 solving problems related to risk using data science and analytics
  • Bonus : Experience with development and implemenation of AI tools (e.g. LLMs) for risk use cases.

Key Job Functions :

  • Design and develop machine learning and AI models 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 :

  • 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

    • Preferred Skills :

  • Machine Learning & Artificial Intelligence
  • Data Science
  • Model development
  • Dashboard Creation
  • Project Management
  • Strong Communication Skills.
    • serp_jobs.job_alerts.create_a_job

    Data Science • CA, United States