Frederick Fox

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Senior Data Scientist - Digital Intelligence We seek a Data Scientist or production ML engineer with a fraud/device domain specialty. What we're looking for Hard requirements :<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">6+ years applied ML with production deployment</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Python + Spark/PySpark at scale</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Real-time or near-real-time ML systems experience</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">ML frameworks: scikit-learn, XGBoost, TensorFlow (or similar)</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">SQL at a high level (large-scale databases, data modeling)</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">End-to-end ownership: concept &gt;&gt; live system &gt;&gt; iteration</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Master's Degree</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong communication skills and able to explain complex results to both technical and executive audiences</li>
</ul> Domain: fraud, device fingerprinting, behavioral signals, adversarial modeling.Adversarial dynamics experience: Fraudsters actively adapt to avoid detection, so the models have to keep up, it's not a static problem.  Strong Preferred:<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">High-cardinality feature engineering</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Browser/mobile telemetry signal processing</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Behavioral biometrics</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">
Anomaly detection</li>
</ul>

Senior Data Scientist - Digital Intelligence

We seek a Data Scientist or production ML engineer with a
fraud/device domain specialty.

What we're looking for

Hard requirements :

* 6+ years applied ML with production deployment
* Python + Spark/PySpark at scale
* Real-time or near-real-time ML systems experience
* ML frameworks: scikit-learn, XGBoost, TensorFlow (or similar)
* SQL at a high level (large-scale databases, data modeling)
* End-to-end ownership: concept >> live system >> iteration
* Master's Degree
* Strong communication skills and able to explain complex results
to both technical and executive audiences

Domain: fraud, device fingerprinting, behavioral signals,
adversarial modeling.

Adversarial dynamics experience: Fraudsters actively adapt to
avoid detection, so the models have to keep up, it's not a static
problem.

Strong Preferred:

* High-cardinality feature engineering
* Browser/mobile telemetry signal processing
* Behavioral biometrics
* Anomaly detection

Percentage

Technology

Joe Watts

Active - OPEN

$275K - Staff Data Scientist, Digital Intelligence (P-01645)

$275K - Staff Data Scientist, Digital Intelligence (P-01645)

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