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Develop scientific applications using R, Shiny and/or Python. Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Must have strong technical skills in areas such as statistics, programming languages like R or Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation.
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Well-versed in core advanced analytics data mining and scripting tools such as Python, R, and SQL. Familiar with digital data platforms and tools (i.e., Adobe Analytics, Google Tag Manager, Salesforce.
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Uses SQL/R/PYTHON /Power BI and/or other data tools to solve business problems. Must have 6+ years of experience in data analytics and reporting using SQL, R, Python and other tools.
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Experience using statistical computer languages (R, Python, SQL, etc.) Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
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Proficient with data science and analytics tools (e.g., Python, R, SQL, Tableau). Deep expertise in data mining, statistical analysis, machine learning, and predictive modeling.
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Experience using business intelligence tools (e.g., Tableau, PowerBi) Working experience with Artificial Intelligence (AI) and Machine Learning (ML) Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience fine-tuning, evaluating, and deploying Large Language Models (LLM) is a plus5+ years' experience working with common data science toolkits, such as R, Weka, Python/NumPy, MatLab, etc.
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Experience in statistical software (R, SAS, SPSS, Alteryx, MATLAB, STATA), databases (Terradata or similar) and scripting languages (such as Python). Multimedia Solutions is seeking a curious and skilled Data Scientist to lead the development of a data warehousing and data mining solution in order to provide marketing executives with rich insights into the overall client journey.
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Strong technical and programming skills (Big data frameworks such as Hadoop MapReduce, Java, others), and statistical modeling (such as R/Python/Enterprise Miner). 5+ year of experience with a general-purpose programming language such as Python/R (applied to big data frameworks such as Hadoop MapReduce, Spark, others.
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Proficiency in programming languages such as Python, R, or SQL, along with experience in working with large-scale databases and data manipulation. Strong expertise in advanced analytics, data mining, forecasting, and predictive analytics.
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Expanding pricing tools and improving evaluation models by utilizing quantitative analysis tools and skills such as VBA programming, data mining software, and Object or component-oriented development software to support the swaps trading desk environment.
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Proficiency in programming languages such as Python, R, or SQL. Strong background in statistics, machine learning, and data mining techniques. Experience with data visualization tools such as Tableau or Power BI.
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Exceptional programming ability in SAS, SQL, R, Python or other programming languages. Advanced skills and training in predictive modeling, data mining and other quantitative and research analytics (Non-Linear Regression Analysis, Multivariate Analysis, Bayesian Methods, Generalized Linear Models, Decision Trees, Non Parametric estimations, etc.
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Understanding and capabilities with Python, R scripting and other advanced data coding languages. Experience developing analytic techniques such as forecasting, predictive modeling, segmentation analysis, simulation modeling, and data mining.
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r python data mining jobs in Hoboken, NJ
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