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Dual degrees/certification or relevant experience as an alternative to a degree/certification in (a) Computer Science, Mathematics, Statistics, or related fields and (b) Industrial-Organizational Psychology, Educational Measurement, Psychometrics, or related fields.
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Reasonable familiarity with some statistical tools (SAS, R, Python) and data analytic/visualization tools such as SQL, Tableau, Excel and PowerPoint. Bachelor’s Degree in a quantitative subject, such as Econometrics, Mathematics, Operations Research, Statistics, Economics or Finance.
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Uses statistical tools such as mathematics, statistics, performance measurement, and will assist the team or Senior Data Scientist with to advanced analytics such as artificial intelligence, machine learning and natural language processing for cloud computing and analyzing data sets.
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PhD in Industrial and Organizational Psychology, Organizational Behavior, or other technical or quantitative discipline, including but not limited to Cognitive Science, Neuroscience, Economics, Behavioral Economics, Mathematics, Physics, Biology, Chemistry or Statistics.
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Fundamental knowledge of machine learning, data mining, statistical predictive modeling programming, simulation, and advanced mathematics. Experience using many of the following technologies: Python (Pandas, NumPy, SciPy), R (tidyverse), SQL, Tableau, Power BI, advanced Microsoft Excel, machine learning, statistical analysis.
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Evaluate the reliability, stability, and robustness of models using both quantitative (statistical) and qualitative techniques, such as sensitivity analysis, back-testing and benchmarking model performance using programming languages, such as SAS, R, and Python, and VBA. Provide insight regarding model performance and soundness of results.
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Strong experience with open-source statistical programming tools (Python/R) for analysis and data visualization. A 4-year college degree in a quantitative field (Statistics, Mathematics, Economics, Data Analytics, Data Science, etc.
$80,000 - $154,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.
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Education: Minimum Master's degree in in economics, political science, psychology, public policy, applied mathematics, statistics, data science or history., PhD preferred. Dexterity with R, Python, STAT, SPSS or other statistical software or analytical tools.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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Bachelors Degree in in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science or related fields if accompanied by a Certificate in Data Science from an accredited college/university.
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Devise modeling and measuring techniques; utilize mathematics, statistical methods, engineering methods, operational mathematics techniques (linear programming, game theory, probability theory, symbolic language, etc.
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A Master's degree or PhD in a quantitative field (e.g., statistics, computer science, mathematics physical/biological sciences, or GIS). What You’ll Do: As a Data Scientist, you will be responsible for driving, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings.
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Excellent understanding of ML, NLP, and statistical methodologies. Perform statistical (and machine learned) analyses on data to serve business purposes. Researching and identifying Artificial Intelligence (AI) methods – including Machine Learning (ML) and Natural Language Processing (NLP) methods.
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MS degree or higher degree in statistics, mathematics or related quantitative field with at least 3 years of industry related experience for Sr. statistical analyst and 5 years of industry related experience for Manager, statistical analyst.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
mathematics statistical jobs in Washington, DC
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