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Job Summary Job Description DUTIES: Contribute to the team responsible for performing ETL (extract transform and load) and EDA (exploratory data analysis) on data sets to extract relevant insights from large amounts of data; develop machine learning models and analytics using Python, R, and SQL; use Spark with AWS EMR and Databricks, and use AWS Lambda; use Keras, TensorFlow, Scikit.
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Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git. Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R.
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Experience working with Python, R, SQL, and Spark for Big Data Analytics. Certifications in Tableau, Power BI, RStudio, Azure Data Engineering and Databricks ML. Experience building ML/NLP models in Azure Databricks and RStudio.
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Previous experience with high-level programming languages such as SAS, R Statistical Programming Language, SPSS, C/C. and SQL, TensorFlow, Keras, PyTorch, and Apache Spark and Hive. At least 5 of the following: R Statistical Programming Language, SPSS, SAS, Python, C/C.
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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)Primary Location.
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Demonstrate experience with high-level and frameworks such as R, Python, Perl, Ruby, Scala, Apache Spark, Storm. Demonstrate experience with high-level and frameworks such as R, Python, Perl, Ruby, Scala, Apache Spark, Storm.
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Understanding of advanced analytics platforms/tools such as R/SAS, Python, Hadoop, Apache Spark, and familiarity querying databases. Experience with tools like SQL, Python, Hive, GCP, Power BI, Tableau, DataBricks, etc.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica.
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Sie verfügen über Erfahrungen mit relationalen Datenbanken (on-Premise wie cloudbasiert) und über Kenntnisse in Datenanalysesprachen oder -tools (Python, R, SQL, SAS, R, Python, Spark o.
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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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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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Experience with Quantum Metrics and Akamai, Technologies and languages: Python, Spark, R, etc. Google Data Analytics Professional Certificate, Power BI Data Analyst Associate, AWS Certified Data Analytics, Enterprise Data Warehouse certifications, Palantir, Client Side performance metrics tools e.g.
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Leverage a broad set of modern technologies - including Python, R, Scala, and Spark - to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training.
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Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work.
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Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio. Big Data: Azure Stream Analytics, Azure HDInsight, Amazon E lastic Map Reduce (EMR) , AWS Athena, Apache Spark, Hadoop, Hive.
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