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Master's degree from an accredited college or university in health economics and outcomes research (with strong analytical skills), statistics, mathematics, psychometrics/psychology, epidemiology, computer science or related fields.
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Work closely with our data engineering and data science teams to design and optimize data pipelines and ensure efficient and reliable data processing. Collaborating with data engineering and data science teams to understand data requirements and design optimal data pipelines.
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Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Qualitative skills: Independent contributor/Self starter Good communication and presentation skills to present work to Executive Leadership team Able to commute to client location - 25% Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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Collaborate with Architecture, Infrastructure and Data Science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning deployment architectures for batch, real-time streaming deployments.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Data Processing/Analytics/Science, Computer and Information Science, Statistics.
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Evaluates clinical and biomarker data sets from biostatistics and data science, contributes to data analysis, data reviews and interpretation, authors and ensures the quality of study reports and other relevant documents, presents results and insights to internal core teams accompanied by specific, decision making, recommendations.
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Purpose of Role: Join our dynamic Supply Chain team as a Power BI Developer where you will harness data from our data lake, integrating inputs from our ERP and third-party vendors to create compelling, informative visualizations that drive business decisions.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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To thrive in this career as a Principal Data Scientist (Generative AI) for the Innovation Labs team, you will apply your knowledge of Python and other object-oriented programming languages to ADP projects.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$107,659 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting.
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The Business Systems Analyst is a critical member of our IT team, leaning forward into manufacturing automation, decision science and process optimization technology, as a member of a highly capable and knowledgeable team deeply vested in our shared achievement and success as the IT organization continues to make advances toward modernizing aerospace manufacturing systems and processes in the US and abroad.
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Performing data review, including development of data quality indicators (DQIs) and eQAPPs, use of electronic data validation programs, and assessment of usability. BS in Chemistry or environmental science and chemistry minor.
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Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others.
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Primarily in civil design; including complex earthworks, mining (tailings, heap leach pad, waste rock stockpile design, reclamation), stormwater and surface-water controls, groundwater science, landfill design and remediation, and civil infrastructure in the power sector and water treatment facilities, as directed by the Team Leader, team members, and/or project engineer.
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data science jobs Title: research associate in Parsippany, NJ
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