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The candidate needs to be an advanced practitioner of SQL, R, Python and be familiar with working with data in an Azure Cloud environment using DataBricks and other cloud analytics tools.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Master Degree in Microbiology, Genomics, Bioinformatics, Computational Biology, Data Analytics, Data Engineering or life science and agricultural related quantitative disciplines. Fully proficiency with Python, R, SQL, Linux and shell programming, AWS, Azure and GCP with 3+ years' experience.
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BI Reporting Design/Development: Design and Develop creative BI components for the delivery of dashboards, scorecards, delivered reports, ad hoc queries, extracts and analytics, using visualization tools and techniques like Tableau, R, QlikView, EnvisionBI Use data science / analytics concepts to create intuitive & dynamic dashboards and reports.
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Helps you master on Excel, VBA, SQL, R, Python, SQL, Alteryx and Power BI. Learn from the eminent IIT/NIT Faculty & become a global certified Data Analyst. Power BI, SPSS and R Master class: Learn Power BI, SPSS and R from Basics to Advanced · Statistics & Mathematics for Data Science & Data Analytics.
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Proven experience as a Data Analyst with a focus on people analytics, learning and development, or HR analytics. - Strong proficiency in data analysis tools and languages (e.g., SQL, Python, R) and data visualization tools (e.g., Tableau, Power BI, Qualtrics.
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Build predictive models and forecasting: Utilize statistical modeling and predictive analytics to forecast customer demand, churn rates, revenue projections, and other relevant business metrics.
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Experience in statistical detection of potential healthcare fraud and abuse, using tools, such as predictive modeling, development of mathematical models, neural networks, healthcare data analytics, and data mining.
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Programming languages (C, MATLAB, R, Python) and visualization tools (PowerBI, Tableau). Use of advanced analytics technologies, including machine learning and predictive modeling.
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Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 5 or more years experience in predictive analytics or equivalent.
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The purpose of the Analyst, Predictive Modeling position is to analyze data to drive better business decisions, including: Pricing and credit risk, loan servicing strategies, business policies, processes, and performance, and champion/challenger tests.
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Experienced with computer languages (R, Python, SQL, etc.) BS in a quantitative or scientific discipline (e.g. engineering, mathematics, statistics, computer science) with 2-4+ years of relevant data science/analytics experience in the pharmaceutical industry or MS with 0-2+ years relevant experience.
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Using and understanding coding languages such as R, Python, Visual Basic (VB), and C. Data wrangling, statistical methods and hypothesis testing, predictive modeling, supervised and unsupervised machine learning, regressions, simulations, scenario analysis, clustering, decision trees, deep learning, and neural networks.
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A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
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science predictive analytics analyst python r jobs Company: Cvs Pharmacy
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