Fraud Detection & Anomaly ML Scientist

Compunnel, Inc.; Sunnyvale (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

A prominent tech firm in Sunnyvale is seeking a highly skilled Data Scientist to design and implement predictive models for fraud detection and abuse. The ideal candidate will excel in data storytelling and have a strong technical background in machine learning, specifically in production environments. Responsibilities include building models, visualizing data insights, and contributing to research initiatives. Candidates should hold a relevant degree and possess experience with large datasets.

Qualifications

• Expertise in machine learning and data mining techniques.
• Proficiency in Python and relevant packages.
• Experience with large datasets and distributed computing tools.

Responsibilities

• Design and build predictive models for fraud detection.
• Communicate insights via data visualization.
• Build dashboards for stakeholders.

Skills

Machine Learning

Data Storytelling

Statistical Analysis

Python

Anomaly Detection

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field

Tools

GCP

BigQuery

Job description

A prominent tech firm in Sunnyvale is seeking a highly skilled Data Scientist to design and implement predictive models for fraud detection and abuse. The ideal candidate will excel in data storytelling and have a strong technical background in machine learning, specifically in production environments. Responsibilities include building models, visualizing data insights, and contributing to research initiatives. Candidates should hold a relevant degree and possess experience with large datasets.