Associate, Data Science

Role Overview: As a data science enthusiast at GALE, you will have the opportunity to tackle challenging modeling work using a data-driven approach. You will be responsible for utilizing your expertise in data science to drive business strategies and enhance brand storytelling, ultimately contributing to the growth and success of various businesses. Key Responsibilities: - Fluent in SQL databases such as Hive, PostgreSQL, Oracle, SQL Server, and MySQL. - Proficient in scripting languages like Python, Bash, with possible experience in Scala and/or Apache Spark. - Demonstrating a strong understanding of statistical techniques and machine learning methods, along with extensive experience in statistical programming languages/packages such as R, SAS, Scipy/Numpy/Scikit-learn. - Applying supervised machine learning algorithms to large datasets with at least 1+ years of experience. - Experience in data pipelining, preprocessing, modeling, and analyzing big datasets. - Familiarity with Unix/Linux systems, command-line interfaces, and editors. - Knowledge of the AWS ecosystem. - Optional experience with interactive data visualization tools like Shiny, D3, or Dash, and familiarity with ANN frameworks like Tensorflow, Keras, Torch, Mxnet. Qualifications Required: - Passion for data science and problem-solving through a data-driven approach. - Minimum 1+ years of experience in the field of data science. - Strong background in statistical programming and machine learning. - Proficiency in SQL databases and scripting languages. - Familiarity with Unix/Linux systems and AWS ecosystem is a plus. (Note: Additional details about GALE as a company were not provided in the job description) Role Overview: As a data science enthusiast at GALE, you will have the opportunity to tackle challenging modeling work using a data-driven approach. You will be responsible for utilizing your expertise in data science to drive business strategies and enhance brand storytelling, ultimately contributing to the growth and success of various businesses. Key Responsibilities: - Fluent in SQL databases such as Hive, PostgreSQL, Oracle, SQL Server, and MySQL. - Proficient in scripting languages like Python, Bash, with possible experience in Scala and/or Apache Spark. - Demonstrating a strong understanding of statistical techniques and machine learning methods, along with extensive experience in statistical programming languages/packages such as R, SAS, Scipy/Numpy/Scikit-learn. - Applying supervised machine learning algorithms to large datasets with at least 1+ years of experience. - Experience in data pipelining, preprocessing, modeling, and analyzing big datasets. - Familiarity with Unix/Linux systems, command-line interfaces, and editors. - Knowledge of the AWS ecosystem. - Optional experience with interactive data visualization tools like Shiny, D3, or Dash, and familiarity with ANN frameworks like Tensorflow, Keras, Torch, Mxnet. Qualifications Required: - Passion for data science and problem-solving through a data-driven approach. - Minimum 1+ years of experience in the field of data science. - Strong background in statistical programming and machine learning. - Proficiency in SQL databases and scripting languages. - Familiarity with Unix/Linux systems and AWS ecosystem is a plus. (Note: Additional details about GALE as a company were not provided in the job description)