Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Data Scientist
Job Details
Role: Data Scientist III
Duration: 18 months
Location: San jose, CA
Job Description:
What You ll Do
- Analyze and interpret complex data sets to derive actionable insights and inform decision-making.
- Perform the statistical analysis on the feature transformation and business impact analytics
- Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.
- Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally
Team: Will work with Core Automation team s Tech leads/managers closely
- Rebuild together with Engineer teams on our next generation risk platform (NGRP)
- You will be part of our pioneer working team to launch our NGRP
- Reason for Posting: Building a next generation risk platform. Enterprise supporting business function with is supporting all the business functions. have a tight timeline to meet decision engine adoption plan
Daily Responsibilities:
Test and evaluation; Processing and governance, monitoring; Data analysis, decision engine serving 80+ checkpoint lots of data sending through and we want to make sure all the rules within that checkpoint perform with a high quality and if something goes wrong, we need to do some analysis and automation.
- Tasks will be distributed via our Jira board/sprint planning/grooming cycle.
- Team will have a regular standup on each task (at least twice a week but open
- for daily if needed or any blockers)
- During the onboarding, it would require more interactions with Engg/Product/US
- Risk core teams but once onboarded, it would be 50/50.
- Team work mostly within Jira board from tasks assignments and tracking.
- Code would be in our centralized github repo.
- Updates/documentation would be either in wiki page or our sharepoint/share drive
Top 3 skills:
- BigQuery, Python
- Understand the production systems architect and offline data overview
- Machine Learning experience
Thanks & Regards,
Rahul.B
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