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Dice is the leading career destination for tech experts at every stage of their careers. Our client, ADDSOURCE, is seeking the following. Apply via Dice today!
Data Scientist
Responsibilities:
• Design and develop machine learning and statistical models using R and Python, alongside other data analysis techniques, to collect, explore, and extract insights from structured and unstructured electronic health record data.• Build and advocate for data-driven solutions that help customers improve clinical outcomes and processes.• Design and build scalable, production-ready analytics solutions using a wide array of techniques and methodologies in statistical modeling, machine learning, and AI technologies to meet the needs of client engagements.Requirements:• A minimum of a master's degree in Computer Science, Statistics, Engineering, Physics, or another highly quantitative and technically oriented field, with 3+ years of professional experience as a quantitative analyst or applied analytics technical leader (healthcare experience preferred).• Mastery of statistical software, scripting languages, and packages, with a preference for R, Python, and SQL.• Strong knowledge and experience working with SQL and relational databases, including query authoring and familiarity with various other databases and data sources.• Solid understanding of supervised and unsupervised machine learning techniques.• Strong grasp of data structures, software design, and architecture.• Ability to work independently, take initiative, and function effectively as a cooperative team player.• Proficient in interpreting business questions and applying data concepts to address them.• Excellent communication and presentation skills, with proficiency in data interpretation.