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Expertise in Python, R, SQL, statistics, data mining. + Visualize insights using Microsoft Office, Tableau, Python, R. + Design, develop, and test ML applications using Python, Linux, Docker.
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Experienced in Hadoop, Snowflake, Spark, HDFS, Python, R, PySpark. Work closely with members of WM Strats and Modeling team in the implementation of statistical and econometric models in Python/PySpark/R on the DataIKU and DataBricks platforms.
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Familiarity with scientific data analysis tools, such as: MATLAB, PLS, PCR, IGOR Pro, Horizon, Origin, LabVIEW, Python, etc. As a R&D (Research and development) Scientist, you will help steer the direction of strategic corporate technology by focusing on solving industrial problems through reliable research work.
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PLC - Rockwell, Siemens, Codesys (Beckhoff, B&R, Bosch). PC - LabVIEW, Python, VBA, VB, C (C, C. Industrial Robotics - Fanuc, Epson, Denso, ABB. HMI - Rockwell, Siemens, Maple Systems, Wonderware, Inductive Automation Ignition.
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Senior Python Developer needs 7+ years overall experience with 1-3 years in an ESG technology focused role within asset management or financial services industry. Experience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or Foundry.
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1-2 years of working experience with scripting languages, and/or statistical tools: Python, R, Scala, SAS. Data RDS AWS Redshit engineer Python Jenkins Ansible Data RDS AWS Redshit engineer Python Jenkins Ansible Data RDS AWS Redshit engineer Python Jenkins Ansible Data RDS AWS Redshit engineer Python Jenkins Ansible Data RDS AWS Redshit engineer Python Jenkins Ansible Data RDS AWS Redshit engineer Python Jenkins Ansible Data RDS AWS Redshit engineer Python Jenkins Ansible.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell. Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R.
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Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git. Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Data mining/programming tools (e.g. SAS, SQL, R, Python) Advanced knowledge one of language: Java, Scala, Python, C#? Advanced knowledge one of language: Java, Scala, Python, C.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Skills in programming/scripting languages, such as Python, R programming, and Matlab, or similar. , R programming, Matlab, NCAR command language, and/or numerical/visualization tools.
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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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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse.
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Extensive experience leading and performing complex data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics). Personally, performing or developing a team of analysts using Python, R, SAS or a similar language to solve complex business problems.
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