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Use predictive modeling and machine-learning algorithms to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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Machine Learning (ML), Predictive Analytics, Neural Networks, Reinforcement Learning. Dice is the leading career destination for tech experts at every stage of their careers.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using our proprietary solution set, GxFource , we apply machine learning techniques and predictive analytics tools as part of a broad artificial intelligence strategy that provides effective impact and data-driven business transformation.
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By interpreting information from multiple sources using a variety of techniques, ranging from simple data aggregation to statistical and machine learning analysis and complex data mining, you'll identify and quantify business trends, problems, and opportunities and produce predictive and prescriptive reports and solutions that advise and inform executives, managers, and other decision makers.
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Function as a subject matter expert on machine learning and predictive modeling. Design, develop, test, validate, and deploy Machine Learning (ML) /Statistical models to not only learn from our vast amounts of data but to build new products.
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Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions.
$113,633.52 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In short, as the Director of Data Science you will lead a team of Data Scientists responsible for advanced analytical solutions that include predictive analytics, machine learning, simulation, and optimization techniques to that generate strategic insights and enable more effective business solutions.
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Exposure statistical modeling, machine learning algorithms, and predictive analytics. These pipelines are critical for ingesting, transforming, and serving data to machine learning models.
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Should have experience with predictive analytics and machine learning - Natural language processing. We do a lot of predictive analytics and machine learning. The Business Data Analyst-Lead performs routine business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data visualization and data mining.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Applies data mining, machine learning, and statistical analysis on data to create predictive and descriptive models. Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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We are doing this with an emphasis on the areas of machine learning and artificial intelligence, natural language processing and other approaches to unstructured data, advanced mathematical and predictive modeling, visual analytics and more.
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