Dice
Leviaton Data Scientist
Dice, Houston, Texas, United States, 77246
Dice is the leading career destination for tech experts at every stage of their careers. Our client, VC5 Consulting, is seeking the following. Apply via Dice today!
Responsibilities:
Design, develop, and implement Machine Learning models for time series forecasting on complex datasets.Utilize your strong understanding of statistics, machine learning algorithms, and time series analysis to achieve optimal model performance.Leverage your computer science background to design efficient data pipelines, handle large-scale data processing, and implement data structures and algorithms for efficient analysis.Clean, pre-process, and validate massive datasets to ensure model accuracy and robustness.Interpret, analyze, and visualize forecasting results to communicate key insights to stakeholders.Stay current on the latest advancements in time series forecasting techniques and Machine Learning best practices.Collaborate effectively with cross-functional teams (engineering, product, etc.) to ensure successful integration of forecasting models. (Plus!) While not mandatory, experience working with geospatial data will be a major plus.Qualifications:
Degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience and proven ability).Strong experience in time series analysis and forecasting techniques (ARIMA, SARIMA, Prophet, etc.).Proven ability to design, develop, and implement Machine Learning models using languages like Python (Scikit-learn, TensorFlow, PyTorch).Solid understanding of computer science fundamentals, including data structures, algorithms, and complexity analysis.Experience working with big data platforms and tools (Spark, Hadoop, etc.) is a plus.Excellent communication and collaboration skills to translate complex technical concepts into clear and actionable insights.Leviaton Data Scientist
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Responsibilities:
Design, develop, and implement Machine Learning models for time series forecasting on complex datasets.Utilize your strong understanding of statistics, machine learning algorithms, and time series analysis to achieve optimal model performance.Leverage your computer science background to design efficient data pipelines, handle large-scale data processing, and implement data structures and algorithms for efficient analysis.Clean, pre-process, and validate massive datasets to ensure model accuracy and robustness.Interpret, analyze, and visualize forecasting results to communicate key insights to stakeholders.Stay current on the latest advancements in time series forecasting techniques and Machine Learning best practices.Collaborate effectively with cross-functional teams (engineering, product, etc.) to ensure successful integration of forecasting models. (Plus!) While not mandatory, experience working with geospatial data will be a major plus.Qualifications:
Degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience and proven ability).Strong experience in time series analysis and forecasting techniques (ARIMA, SARIMA, Prophet, etc.).Proven ability to design, develop, and implement Machine Learning models using languages like Python (Scikit-learn, TensorFlow, PyTorch).Solid understanding of computer science fundamentals, including data structures, algorithms, and complexity analysis.Experience working with big data platforms and tools (Spark, Hadoop, etc.) is a plus.Excellent communication and collaboration skills to translate complex technical concepts into clear and actionable insights.Leviaton Data Scientist
#J-18808-Ljbffr