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.
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What We Do
We are your human-centric innovation partner, crafting impactful user experiences for government and commercial sectors with an unwavering commitment to efficiency and excellence.
Our Core Capabilities:
CMS Data Experience
Our team has established deep domain experience in insurance, claims, and quality data throughout the CMS ecosystem. We equip healthcare stakeholders with insights to make informed policy decisions through strategic data management, integrating diverse data sources, and conducting analysis.
Enabling Interoperability in Healthcare
We build functionality using standards such as FHIR to allow for data interoperability between government agencies, providers, and patients. Guided by our long-time partnership with CMS and healthcare stakeholders, we advocate for patient data accessibility, striving to enhance the quality of care delivered.
Leaders in DevSecOps
As some of the earliest practitioners of DevSecOps within CMS, we exemplify the significance of a carefully engineered CI/CD pipeline. Amidst unprecedented HealthCare.gov registrations, our team safeguards its stability and reliability.
Consulting to Innovate
At Element, we act as consultative partners at the crossroads of innovation and our clients' needs. No matter the challenge, we identify and prioritize the appropriate methods, ensuring tailored solutions and using modern technologies.
We believe in a world where solutions we build improve the lives of those who use them, and the elements of Innovation, Collaboration, Integrity, Equity, Creativity are the foundation
