Staff Data Scientist

🔥 20 minutes ago

🦀 Maryland – Remote

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💵 $160.6k - $175k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 2%

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Logo of eSimplicity

eSimplicity

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 • Work with government clients during Eastern time zone business hours • Travel occasionally for training and project meetings

🎯 Requirements

• All candidates must pass public trust clearance through the U.S. Federal Government • Candidates must either be U.S. citizens or pass clearance through the Foreign National Government System • Foreign National Government System candidates must have lived within the United States for at least 3 out of the previous 5 years • Valid and non-expired passport from country of birth and appropriate VISA/work permit documentation required for Foreign National Government System clearance • 10+ years working in AI/ML, DevOps, development, IT consulting, or other technology-related fields • Master’s degree, Ph.D., or equivalent advanced degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field; OR 10+ years of applied experience in a related field • Hands-on experience developing advanced AI, machine learning, predictive, and statistical models, including supervised and unsupervised approaches • Hands-on Python experience, including Pandas • Hands-on experience supporting semantic layer development or implementation • Experience working 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 to technical and non-technical stakeholders through written products, presentations, dashboards, or visualizations • Excellent command of written and spoken English • Expected availability from 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • 401(k) retirement benefits • Paid time off • Paid holidays • Life insurance • Disability insurance • Wellness and employee support programs • Remote work environment • Occasional travel estimated at less than 5% per year

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