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Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau and Power BI. Data science and cloud certifications are a plus (Certified Data Scientist (CDS), AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure Data Scientist Associate, IBM Data Science Professional.
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Enhance/Develop/Sustain current decision support tools or replacements along with internal and external portals using data/ tools such as Army VANTAGE, ADVANA, Microsoft Power Automate, data visualization tools (Tableau, Qlik, PowerBI), Python with data libraries of (PySpark, Pandas, NumPy), Structured Query Language (SQL), Statistical Analysis System (SAS), Oracle, Microsoft Azure, Microsoft Suite of products, machine learning methods, and other data analytics tools, as necessary.
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5+ years in a Data Analyst and/or Data Scientist capacity. 5 years of experience with Clarity PPM reporting, developing data dashboards, charts and datasets in Clarity. Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SAS, R, SPSS, etc.
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Operational Researcher Level 4 – GDIT is seeking an operational researcher / data analysist to support ATR’s R&D of UAS when applied to improve the safety and efficiency of airport operations.
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Located at the Redstone Arsenal in Huntsville, AL. In your role as a Data Scientist, you will use statistical techniques to plan tests and analyze and interpret data. Deep knowledge of common programming languages (Python, R, Julia), data science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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The position will work across the Pharmaceutical's Global Supply (PGS) organization in conjunction with the Bioprocess R&D organization to develop multivariate data analyses, machine learning models, mechanistic models, and simulations for the characterization of bioprocesses and operations at multiple scales.
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Proficiency in data analysis tools (Python, R), machine learning frameworks (TensorFlow, PyTorch), and data visualization tools (Tableau, Power BI). As a Healthcare IT Data Scientist, you will play a vital role in leveraging data analytics and machine learning to drive actionable insights and innovations that enhance patient care, improve healthcare operations, and support strategic decision-making.
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The primary purpose of the Associate Data Scientist is to leverage the capabilities of next-generation sequencing data to drive forward the discovery and development of novel therapeutics for cancer patients.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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Expertise in Python, R, SQL, statistics, data mining. Significant experience as a Data Scientist or advanced analytical role. Visualize insights using Microsoft Office, Tableau, Python, R.
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Python and/or R Programming – Machine learning/statistical methods, quantitative analysis and data modeling. Corporate Strategy - Data Scientist - Business Analytics. The Data Scientist provides analytical support to our business partners.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a Senior Data Scientist, you will play a crucial role in our People Analytics department, utilizing your expertise in building causal inference machine learning models to drive data-driven decision-making.
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