Data Science Engineer
Company: Numentica LLC
Location: Seattle
Posted on: June 1, 2025
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Job Description:
Posted On 05/20/2025Job DescriptionONLY US Citizens or GCWe are
seeking a skilled and driven Data Science Engineer to join our team
focused on developing and deploying advanced fraud detection models
for credit card transactions. This role will play a critical part
in identifying fraudulent behavior in real-time, leveraging
cutting-edge data science techniques and tools within the Azure
ecosystem and Databricks environment.Key Responsibilities:Design,
develop, and deploy machine learning models to detect fraudulent
credit card transactions.Analyze large volumes of structured and
unstructured data to uncover patterns, trends, and anomalies
related to fraud.Build scalable data pipelines and model training
workflows using Databricks on Azure.Work closely with data
engineering and platform teams to productionalize models and
monitor performance.Continuously evaluate and refine models to
improve accuracy, precision, and recall over time.Collaborate with
cross-functional teams including fraud operations, engineering, and
compliance.Required Qualifications:7+ years of experience in data
science or machine learning engineering roles.Proven experience
developing fraud detection models or working with financial
transaction data.Strong programming skills in Python and
SQL.Experience with Databricks, Spark, and Azure ML or related
Azure data services.Solid understanding of machine learning
techniques including supervised/unsupervised learning, anomaly
detection, and model evaluation.Excellent analytical and
problem-solving skills with a strong attention to detail.Preferred
Qualifications:Experience in the payments or financial services
industry is a BIG plus.Experience in Microsoft Fabric is a
plus.Familiarity with real-time data processing and stream
analytics.Knowledge of model monitoring, drift detection, and model
retraining strategies.
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Keywords: Numentica LLC, Olympia , Data Science Engineer, Engineering , Seattle, Washington
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