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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$113,200 - $205,500 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Programming languages like R, Python, Java, Spark etc. Experience in Deep Learning frameworks. Certifications in Big Data and Machine Learning. Deriving features, building and optimizing models using machine learning techniques.
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Proficiency in relevant coding languages such as Python, R, and DAX for custom formulas. Provide subject matter expertise for relevant product suite, including applicable coding languages such as Python, R, and DAX language for custom formulas.
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Proficient in Python, R, or Scala, and familiar with SQL and NoSQL databases is preferred. Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced analytics tools.
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Python (R), Programming Language. Deep learning, NLP, REST API, Develop common components to address pain points in machine learning project, like model lifecycle management, feature store and data quality evaluation.
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Fundamental programming skills in core data science languages such as Python, R, MATLAB and SQL. Experience with Scala, Spark, SQL, MATLAB, GitHub, Probability & Statistic and Machine Learning.
$90,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong proficiency in SQL and data analysis tools (e.g., Python, R, Tableau) Develop and implement statistical models, machine learning algorithms, and data mining techniques to solve business problems.
$142,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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In addition, working knowledge of current machine learning technologies, and image processing / image analysis libraries in Python ( OpenCV, SciKit-Image ) are required. Data Scientist is an expert in at least 1 programming language (e.g. R, SAS, Python), has proficiency in statistical theory and underlying mathematical distributions, and expertise in querying relational databases with SQL.
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4+ years of experience programming in languages such as Perl, Python, R, PHP, and shell scripts. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies.
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2+ years of experience with a programming language such as Python, R, SQL, etc. Knowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field. Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
$90,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test. You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects.
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Knowledge of R, SQL, Python. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS.
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This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation.
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Highly proficient in R, Python, SQL, Spark, and other big data tools. Expertise in statistical and machine learning techniques such as Logistic Regression, Tree based ML algorithms (Random Forest, XGB), Deep Learning, and Natural Language Processing.
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Experience coding in Python, R, Matlab, Java or other modern programming language. Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training.
$105,100 - $204,300 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago
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