Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Associate Fraud Risk Data Scientist.
United States Jobs Expertini

Urgent! Associate Fraud Risk Data Scientist Job Opening In San Jose California – Now Hiring Macpower Digital Assets Edge Private Limited

Associate Fraud Risk Data Scientist



Job description



  • Our client is seeking a talented, enthusiastic, and dedicated professional to join their Fraud Risk Data Science Team within our Risk Data & AI Innovation Organization.

    The incumbent will drive critical projects focused on fraud detection, risk analysis, and loss mitigation.

    We seek a strategic-minded data scientist who can make substantial, actionable impacts using AI and analytics to drive fraud risk management excellence.


  • The ideal candidate will have 2-6 years of experience in machine learning, AI, data science, and risk analytics, with a strong background in eCommerce, online payments, user trust, risk, fraud, or product abuse investigations.

    They will hold a Bachelor's or Master's degree in Data Science, Analytics, Mathematics, Statistics, Data Mining, or a related field, or possess equivalent practical experience.


  • The role demands expertise in statistics and data science methods to solve complex business challenges.

    Proficiency in SQL, Python, AWS, Excel, and key data science libraries is essential.

    Candidates must also demonstrate strong skills in data visualization, particularly Tableau, and be comfortable working with large datasets.

    Experience with LLMs and AI tools for risk use cases is considered a valuable asset.


  • Responsibilities include designing, developing, and implementing machine learning and AI models to detect and mitigate fraud.

    The Associate will collaborate with stakeholders and cross-functional teams to deploy scalable, real-time fraud solutions.

    They will monitor model performance, refine AI tools, and support AI transformation initiatives within risk management.


  • The candidate will also be responsible for creating dashboards and visualizations to track key performance indicators, clearly communicating complex analytical insights to technical experts and business leaders alike.

    Comfort with ambiguity and a results-driven approach to data science projects are key to success.


  • This hybrid role is based in the San Jose area, with remote consideration if local candidates are unavailable.

    It is a contract position covering multiple leaves over one year, with potential for extension based on business needs and performance.

    Work hours are Monday to Friday, Pacific Time.


  • Candidates will undergo multiple Zoom interviews, including an SQL assessment in the first round.

    Strong SQL proficiency and prior experience applying data science to fraud mitigation remain critical selection criteria.





Required Skill Profession

Other General



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Associate Fraud Potential: Insight & Career Growth Guide


  • Real-time Associate Fraud Jobs Trends in San Jose, California, United States (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Associate Fraud in San Jose, California, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 200298 jobs in United States and 4874 jobs in San Jose, California. This comprehensive analysis highlights market share and opportunities for professionals in Associate Fraud roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Associate Fraud Risk Data Scientist Job?

    Great news! is currently hiring and seeking a Associate Fraud Risk Data Scientist to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Macpower Digital Assets Edge Private Limited adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying United States laws and regulations
  • What Is the Average Salary Range for Associate Fraud Risk Data Scientist Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in San Jose California. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for Associate Fraud Risk Data Scientist?

    Key qualifications for Associate Fraud Risk Data Scientist typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Associate Fraud Risk Data Scientist?

    To improve your chances of getting hired for Associate Fraud Risk Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Associate Fraud Risk Data Scientist Job Success
    Macpower Digital Assets Edge Private Limited interview tips for Associate Fraud Risk Data Scientist

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the Macpower Digital Assets Edge Private Limited's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your Associate Fraud Risk Data Scientist interview at Macpower Digital Assets Edge Private Limited, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Macpower Digital Assets Edge Private Limited's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for Associate Fraud Risk Data Scientist Positions

    Setting up job alerts for Associate Fraud Risk Data Scientist is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!