Sr. Machine Learning Engineer/Date Scientist (12 Month Project)

Element Solutions; Washington (District of Columbia); Remote; USD 155,000 - 200,000; Full time

Job summary

A leading company is seeking an experienced Machine Learning Engineer for a temporary 12-month project in Washington, DC. The role focuses on developing and deploying ML models to prevent fraud in healthcare, emphasizing the ability to process various data types. Candidates should possess a Master's degree and extensive experience in machine learning tools and practices.

Qualifications

• 4+ years of experience in machine learning and data science.
• Strong background in anomaly detection and time-series analysis.
• Understanding of model governance and MLOps practices.

Responsibilities

• Design and implement ML-based anomaly detection algorithms.
• Develop NLP pipelines for analyzing ad content.
• Implement feedback loops for continuous model improvement.

Skills

Python

Machine Learning

Anomaly Detection

NLP

Feature Engineering

AWS ML Services

Education

Master's degree in Data Science, Statistics, Machine Learning, or related field

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Who is Element?

We serve as a partner at the intersection of innovation and our clients' needs, efficiently crafting meaningful user experiences for government and commercial customers. By breaking down complex problems to their fundamental elements, we create modern digital solutions that drive efficiencies, maximize taxpayer dollars, and deliver essential outcomes that serve the people.

Why Work at Element?

Make an impact that resonates-join our vibrant team and discover how you can improve lives through digital transformation. Our talented professionals bring unparalleled energy engagement, setting a higher standard for impactful work. Come be a part of our team and shape a better future.

Position Overview

We are looking for an experienced Machine Learning Engineer to join our team on a temporary, 12 month project. As a Machine Learning Engineer, you will develop and deploy machine learning models for anomaly detection, processing both structured data and unstructured marketing content to identify suspicious behavior patterns and anomalous activities. As a member of this project, you will help ensure the delivery of healthcare to millions of Americans by monitoring and preventing fraud, waste, and abuse.

Key Responsibilities

• Design and implement ML-based anomaly detection algorithms.
• Process and analyze unstructured marketing data from social media advertising platforms.
• Develop NLP pipelines for analyzing ad content and detecting deceptive marketing claims.
• Create and refine detection algorithms that combine multiple data signals.
• Implement feature engineering processes for time-series and behavioral data.
• Establish model monitoring and performance tracking systems.
• Collaborate with Business Analyst on rule-based detection criteria.
• Implement feedback loops for continuous model improvement.

Minimal Requirements

• Master's degree in Data Science, Statistics, Machine Learning, or related field.
• 4+ years of experience in machine learning and data science.
• Expert proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Strong background in anomaly detection and time-series analysis.
• Experience with NLP and text processing techniques.
• Knowledge of feature engineering and model deployment best practices.
• Experience with AWS ML services (SageMaker, Comprehend).
• Understanding of model governance and MLOps practices.
• US Citizenship or Permanent Residency required.
• Must reside in the Continental US.
• Depending on the government agency, specific requirements may include public trust background check or security clearance.

Preferred Qualifications

• Experience with using anomaly detection techniques for fraud detection.
• Knowledge of unsupervised learning techniques.
• Experience with real-time model serving and inference.
• Experience using graph databases.

$155,000 - $200,000 a year

The likely salary range for this position is $155,000-$200,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Location

Be in your Element. We are a remote-first company based in Washington, DC.

Element is an Equal Opportunity Employerall qualified applicants will receive consideration for employment without regard to age, ancestry, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, marital status, protected veteran status, or any other legally protected class.

We believe in a world where solutions we build improve the lives of those who use them.