DLS Solutions, Inc.
Data Scientist
DLS Solutions, Inc., Exton, Pennsylvania, United States, 19341
Can be Remote or partial on-site in the Philadelphia SuburbsPermanent, Contract or Contract-to-hireSalary: 200-250K + 10-15% BonusHourly Rate: OpenIndividuals Need To Have Experience With Healthcare DataAnalyze the value of data, where to grow etcLooking for an individual to Lead & set the visionThe
Data Scientist
will apply statistical theory and methods to collect, interpret, and summarize data, as well as make predictions and recommendations based on complex data sets including solutions for process improvement and new product development. Responsibilities include data extraction, evaluation and use of machine learning tools, analysis of proprietary data for patterns, and development of predictive models. A successful candidate will be versed in effective data visualization techniques with 10 years of relevant experience in the life sciences industries.Key Responsibilities
Identifies new, strategic requirements for data and leads process of acquisition and productizationDevelops and implements statistical models and algorithms to analyze complex data setsPerforms statistical analysis of data to identify trends and patterns and to build reports for stakeholdersWorks with cross-functional teams to identify and define business problems and develop analytical solutionsDefines and steers implementation of processes and standards for Machine Learning tools, code, testing, and product deploymentTrains and mentors others with respect to advanced Data Science/AI/Machine Learning techniques and tools, mathematical and statistical understanding of Machine Learning, and industry best practices for Data Science development and solutionsEvaluates new technologies to drive best practicesIndustry and Academic Awareness: Stays up-to-date with the latest developments in AI and associated technologies in both academia and industry, integrating relevant advancements into our strategyEducation & Experience
Bachelor's degree in computer science, statistics, applied math or related field requiredExtensive background in data mining and statistical analysisExperience with SQL and statistical software packages (Python, R, SAS) requiredExperience using business intelligence tools and data frameworks, working with AI and on product innovationExperience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analyticsExperience with data de-identification and synthetic data generation/upscalingExperience with large-scale healthcare data sets, including electronic health records, claims data, and patient-generated data10+ years experience as data scientist
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Data Scientist
will apply statistical theory and methods to collect, interpret, and summarize data, as well as make predictions and recommendations based on complex data sets including solutions for process improvement and new product development. Responsibilities include data extraction, evaluation and use of machine learning tools, analysis of proprietary data for patterns, and development of predictive models. A successful candidate will be versed in effective data visualization techniques with 10 years of relevant experience in the life sciences industries.Key Responsibilities
Identifies new, strategic requirements for data and leads process of acquisition and productizationDevelops and implements statistical models and algorithms to analyze complex data setsPerforms statistical analysis of data to identify trends and patterns and to build reports for stakeholdersWorks with cross-functional teams to identify and define business problems and develop analytical solutionsDefines and steers implementation of processes and standards for Machine Learning tools, code, testing, and product deploymentTrains and mentors others with respect to advanced Data Science/AI/Machine Learning techniques and tools, mathematical and statistical understanding of Machine Learning, and industry best practices for Data Science development and solutionsEvaluates new technologies to drive best practicesIndustry and Academic Awareness: Stays up-to-date with the latest developments in AI and associated technologies in both academia and industry, integrating relevant advancements into our strategyEducation & Experience
Bachelor's degree in computer science, statistics, applied math or related field requiredExtensive background in data mining and statistical analysisExperience with SQL and statistical software packages (Python, R, SAS) requiredExperience using business intelligence tools and data frameworks, working with AI and on product innovationExperience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analyticsExperience with data de-identification and synthetic data generation/upscalingExperience with large-scale healthcare data sets, including electronic health records, claims data, and patient-generated data10+ years experience as data scientist
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