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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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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. 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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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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Expertise in R or Python programming for data wrangling, statistical analysis, and machine learning applications. Experience with visualization and rapid prototyping tools (e.g., R Shiny, Python Dash, R plumber.
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Programming Languages (hands-on) - Python / R, etc. Data Scientist - In-Depth Analysis / Evaluation of Large Complex Datasets to Uncover Insights / Trends. Vaco Technology is currently seeking a Data Scientist for a 3-6M+ Contract opportunity that is 100% Remote-based.
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As an active member of the Data Science Team within R&D, Data Scientist / Data Engineer contributes to Blue Yonder’s current and upcoming SaaS solutions and services offering.
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You have proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment. Strong software development skills in languages such as Python and familiarity with machine learning libraries such as Scikit, Tensorflow, Pytorch, Keras.
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Design and implement data strategy for both short term and long term plan. Master Degree in statistics/mathematics, engineering, computer science, economics, or related field and 2~3 industrial working experience in data and modeling related position OR PhD Degree in Quantitative related field.
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Experience with tools and programming languages such as Python, R, SQL, and data visualization tools is essential. The Lead Data Scientist will develop machine learning models to provide insights and recommendations to the business to improve internal operations, to understand customers, to provide smarter products and services, to create additional revenue, and to drive decision making.
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Proven experience as a Data Scientist, Data Engineer, Machine Learning Engineer, Data Principal, Customer Intelligence Analyst, CX Analytics Analyst, Quantitative Analyst, etc., with a strong portfolio demontstrating successful outcomes and the ability to influence corporate strategy through story-telling.
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Perform advanced analytics tasks, including but not limited to predictive statistical models, customer profiling, segmentation analysis, data analysis and mining, and external data enhancement using SQL, SAS, R, Python or PySpark.
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O Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc.
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Expert in commercial and/or open source statistics and data mining packages. Identify and test hypotheses, ensuring statistical significance, and builds predictive models and data visualization to support production business.
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Solid understanding of data mining and statistics concepts and familiarity with real-world applications of these techniques. Expert in large distributed datasets using Hive SQL, Spark, Python.
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Demonstrated knowledge or experience with Machine Learning, Data Science, and Data Engineering principles and related technologies such as R, Python, SQL etc. Knowledge of data warehouse, data lakes, and cloud architecture (Teradata, GCP, AWS etc.
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data scientist python r jobs in Dallas, TX
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