Address: San Jose, CA 95002
Telephone: 901-207-8038
Email Address: smithassociates1725@gmail.com
Hours: Office Hours – 3:30 PM – 8:00 PM CST
Fraud Strategy Data Scientist, Risk Data Scientist w/Fraud, Risk Analytics, Data Analysis, Data Science, Fraud Mitigation, Industry: eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse, SQL, Tableau, Data Science Libraries.
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Position Title : Associate Fraud Strategy Data Scientist
ATTENTION : ” $TOP PAY “( Interviewing Now )
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Location : San Jose, CA
– Experience level: Mid-senior
– Experience required: 3 Years
– Education level: Bachelor’s degree
– Job function: Finance
– Industry: Financial Services
– Pay rate : $50 pay rate hourly
– Total position: 1
– Relocation assistance: No
– Visa sponsorship eligibility: No
Note: This is a hybrid position, so candidates must be based in the San
Jose area.
JOB DESCRIPTION :
We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain.
We’d love to chat if you have:
– Maximum 2 years of experience in risk analytics, data analysis, and data
science within relevant industry experience in eCommerce, online
payments, user trust/risk/fraud, or investigation/product abuse.
– Bachelor’s degree in Data Analytics, Data Science, Mathematics,
Statistics, Data Mining or related field or equivalent practical experience
– Experience using statistics and data science to solve complex business
problems
– Proficiency in SQL, Python, 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 analytics 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 AWS, knowledge of fraud investigations,
payment rule systems, working with ML teams, fraud typologies
Key Job Functions
– Design rules to detect/mitigate fraud
– Develop python scripts and models that support strategies
– Investigate novel/large cases
– Identify root cause
– Set strategy for different risk types
– Work with product/engineering to improvement control capabilities
– Develop and present strategies and guide execution
MUST HAVE:
1. Maximum 2 years of experience in risk analytics, data analysis, and
data science within relevant industry experience in eCommerce, online
payments, user trust/risk/fraud, or investigation/product abuse.
2. Bachelor’s degree in Data Analytics, Data Science, Mathematics,
Statistics, Data Mining or related field or equivalent practical experience.
3. Experience using statistics and data science to solve complex
business problems.
4. Experience in SQL, Python, Excel including key data science libraries.
5. Experience applying statistics and data science to tackle intricate
business challenges especially in Fraud mitigation.
6. Experience in data visualization including Tableau.
7. Experience working with large datasets.
For consideration you must act now, send resume to
smithassociates1725@gmail.com. Sincerely,
Gerald Smith
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