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This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Fluency in a modeling language such as Python or R.
$107,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with programming, scripting or statistical packages (e.g. Python, R, Matlab, SQL) is a plus. Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Serve as primary point of contact for vendors of off-the-shelf analytic applications, as well as represent the open source analytics community (Python/Spark, R, etc.) Analytica is seeking a Senior Data Scientist to remotely support a high-profile financial regulatory client with analytical expertise across all stages of the data science lifecycle.
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Proficiency in data analysis and statistical techniques, including experience with software such as R, Python, or MATLAB , to effectively analyze experimental results and draw meaningful conclusions.
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Excel, Python, R, SPSS, STATA, and STATAR. Navanti is looking for an experienced, part-time, on-demand Statistics Consultant with demonstrative experience and skills in advanced statistical theory and application to aid in developing statistical data imputation methods and crash projections models, applying geospatial techniques, and developing statistical applications.
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You have experience with statistical software packages and/or programming skills, such as R, Python, SQL, SPSS, and/or STATA. You have 1-2 years of work experience, including 1 cycle working in survey research, data science, and/or analytics for a research supplier, market research organization, or media outlet.
$60,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Must have experience using computer programming for data processing, analysis, and data visualization with a language such as R or Python. PhD in a STEM field (such as Physics, Astronomy, Chemistry, Applied Mathematics, Engineering, Statistics, Biology, Computer Science) or Operations Research, Data Science, or any other data-intensive research field; OR.
$263,335 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in data analysis tools and software (e.g., SQL, R, Python, Excel, Tableau). The ideal candidate will have a strong background in data analysis, statistics, and data visualization, with a specific requirement for federal government experience.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Python, R, Ruby, or any other scripting language. Experience in building analytical tools or data engineering services. Reporting to the Head of Business Operations, you will be working closely with Product leads and the Finance team as their data partner for measurement and insights on key strategic initiatives.
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Become familiar with common data collection, cleaning, analysis, and visualization technologies including, but not limited to, Python, R, SQL, Cypher, Power BI, Tableau, etc.) Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows.
$151,600 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Understanding and analyzing data using statistical software, such as Python, SAS, R, or Stata; Employer will accept a Bachelor's degree in Statistics, Operations Research, Economics, Computer Science or related field and 2 years of experience in the job offered or in a data scientist-related occupation.
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Experience with big data manipulation and analysis using varying frameworks/tools: SQL, Python, R, SAS. Strong practical knowledge of analytical techniques and methodologies such as machine learning/supervised and unsupervised techniques, segmentation, mix and time series modeling, response modeling, lift modeling, experimental design, neural networks, data mining, Bayesian inference, and optimization techniques.
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Proficiency in programming languages such as Python, R, SQL, or similar languages used in data analysis. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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5 years or more of general experience, 2 years of experience as data scientist and advanced knowledge of statistical programming languages such as SQL, Python, R or Stata. Experience working with data visualization and dashboard building is highly desired.
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