Staff Data Scientist

🕒 October 9

🇺🇸 United States – Remote

💵 $160.6k - $175k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 0%

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eSimplicity

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

💼 Consulting

🏥 Healthcare

⚕️ Healthcare Insurance

Consulting • Healthcare • Healthcare Insurance

eSimplicity is a company comprised of designers, engineers, and strategists that excels in creating digital services and healthcare IT solutions. They simplify complexity to deliver award-winning products and services that enhance customer experiences, improve public health, and secure the nation. Specializing in areas such as healthcare IT, telecommunications, identity management, and fraud prevention, they work with organizations like the Centers for Medicare & Medicaid Services (CMS) to improve healthcare access and quality. eSimplicity is recognized for their innovative approaches in spectrum management, data analytics, and machine learning, aiming to broaden healthcare coverage and simplify processes for healthcare providers and beneficiaries.

📋 Description

• Design, develop, test, and maintain advanced statistical, machine learning, and AI models • Develop supervised and unsupervised models, including regression, classification, clustering, and anomaly detection • Analyze large structured and unstructured datasets using Python, Pandas, and SQL • Support development and implementation of semantic layer architectures • Develop analytical methods, indicators, and models to identify patterns, anomalies, relationships, and potential risk • Work directly with investigative and business stakeholders to translate questions into analytical approaches and actionable findings • Develop and scale natural language processing solutions, including semantic analysis, OCR, and large language models • Develop dashboards, visualizations, and analytical products to communicate methods, findings, and recommendations • Document analytical methodologies, model testing, assumptions, and results • Collaborate with data engineers and technical teams to support analytics and machine learning in cloud environments

🎯 Requirements

• U.S. citizenship is required • Ability to obtain and maintain a Public Trust clearance • Master’s degree, Ph.D., or equivalent advanced degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field • 10+ years of applied experience in Data Science, Machine Learning, Computer Science, Mathematics, or a related field • Hands-on experience developing advanced AI, machine learning, predictive, and statistical models • Experience with supervised and unsupervised approaches • Hands-on Python experience, including Pandas • Experience supporting semantic layer development or implementation • Experience in a modern cloud environment such as Azure, AWS, or GCP • SQL experience, including SQL Server and PostgreSQL • Experience developing and scaling natural language processing solutions • Experience presenting analytical methods and findings through written products, presentations, dashboards, or visualizations • Excellent command of written and spoken English • Position is contingent upon contract award

🏖️ Benefits

• Medical, dental, and vision coverage • 401(k) retirement benefits • Paid time off • Paid holidays • Life and disability insurance • Wellness and employee support programs • Remote work environment • Occasional travel for training and project meetings (less than 5% per year)

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