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Experience with data wrangling, data matching, and ETL techniques while programming in several languages (Python, R, SQL, and Spark) to extract and transform data from a variety of data sources (Oracle, SQL, Hadoop.
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Optimize data storage health and maintenance using MATLAB, R, Python, SAS, SPSS, etc. ● Excellent computer skills, including expertise in Microsoft Office software (e.g., Excel), R and/or Python, SPSS, and familiarity with SAS and STATA.
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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 modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Experience manipulating data using scripting languages and/or data processing software (e.g. Python, R, Pipeline Pilot, ETL applications) - Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team's established processes and methodologies.
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Advanced proficiency in SQL, Python, leveraging cloud-based data platforms (Snowflake, AWS, Azure) and machine learning frameworks, as well as statistical modeling techniques and tools like R or SAS.
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Technical skill and experience with Python, R, Tableau, Looker, Amazon Redshift, and/or Adobe Analytics. Bachelor’s degree in Business, Marketing, Data Science, Statistics, Economics, or other relevant field.
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Familiarity with programming languages is a plus (R, Python, dbt, SQL) The Analytics group (Redbox) is passionate about data analysis, measurement, and storytelling. We are nimble and scrappy, employing multiple traditional and non-traditional methods & data sources to tackle consumer insights, audience exploration, brand health, competitive analysis, media attribution, media accountability, data dashboarding and advanced modeling.
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Quantitative programming skill (e.g. Python, R, SAS/SQL, Stata, etc) Professional certifications such as CFA, FRM, and Programing (Python, SAS) certified preferred. Some job boards have started using jobseeker-reported data to estimate salary ranges for roles.
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Prefer experience in R/Python, Standard Data Packages, Jupyter Lab, Git, Visual Studio. Improve data quality to improve data accuracy, viability and value. Under general direction, responsible for converting business requirements and high-level data collection needs into well-specified analyses, reporting and visualizations.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Preparing and modeling data in SQL, Tableau, and/or Qlik.
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Leverage a broad set of modern technologies - including Python, R, and Spark - to analyze and gain insights within large data sets. Advanced skill in Python and R. Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Utilize advanced SQL, Python, Spark, and Databricks for data modeling and transformation. Experience with cloud migration methodologies and tools like Databricks, Azure Data Factory, and Azure Functions.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Experience working with financial data sets like Factset and Bloomberg a plus. Understanding of quantitative techniques and methods, statistics and econometrics - including probability, linear regression and time series data analysis and optimizations.
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remote data r python jobs Company: Abs Group in Kekaha, Hawaii
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