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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell.
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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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Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Strong experience with Python/R, forecasting methodologies, machine learning and statistics.
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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy.
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Programming:Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Data Visualization:Visualization Tools: Libraries like Matplotlib, Seaborn (Python), ggplot2 (R), or tools like Tableau, PowerBI.
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This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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The successful candidate has a scientific background in operations research, engineering or other STEM field and has expertise in one or more of the following areas: data science, data analytics, data engineering, data visualization, supply chain planning, statistics, machine learning, predictive modeling, decision analysis under uncertainty, artificial intelligence, Python and/or R, app development, and Tableau dashboard development.
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Deep understanding of Apache Spark, Delta Lake, and related big data technologies, and proficiency in modern programming languages such as Python and Scala. Delaware North Lead Data Engineer, Databricks Buffalo , New York Apply Now Delaware North is hiring a Lead Databricks Engineer to join our IT team in Buffalo, New York. As a Lead Databricks Engineer, you will be responsible for leading the development and optimization of our Databricks-based data processing and analytics platform.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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Proficiency with Stata, R, Python and other programming languages. Proficiency with urban data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
$94,900 - $142,300 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
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