Contract Role: Data Scientist with Supply Chain Exp at Frisco, TX (Remote Ok)
Data Scientist with Supply Chain Exp
Frisco, TX (Remote ok)
Long Term Contract
Must have skill: Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects.
Job Description: We are seeking a highly skilled Data Scientist to join our team. The ideal candidate will be a self-motivated, analytical problem solver who enjoys diving into data, developing algorithms, and interfacing between technical teams and business stakeholders.
Key Responsibilities:
• Design and implement advanced machine learning algorithms for time series forecasting.
• Conduct exploratory data analysis using Python, SQL, and other tools.
• Develop and deploy deep learning models to improve forecasting accuracy.
• Collaborate with cross-functional teams including product managers, software engineers, and other scientists.
• Communicate findings and insights through data visualization tools like Tableau or Power BI.
• Stay updated with the latest research and advancements in demand forecasting and machine learning.
Qualifications:
• Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Data Science, or a related field.
• 3+ years of experience in machine learning, statistical modeling, and data analysis.
• Proficiency in programming languages such as Python and SQL.
• Experience with time series forecasting techniques (e.g., Prophet, ARIMA, Holt-Winters, neural networks).
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and presentation skills.
Preferred Qualifications:
• Experience with cloud platforms like GCP.
• Previous experience in demand forecasting or related fields
Data Scientist with Supply Chain Exp
Frisco, TX (Remote ok)
Long Term Contract
Must have skill: Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects.
Job Description: We are seeking a highly skilled Data Scientist to join our team. The ideal candidate will be a self-motivated, analytical problem solver who enjoys diving into data, developing algorithms, and interfacing between technical teams and business stakeholders.
Key Responsibilities:
• Design and implement advanced machine learning algorithms for time series forecasting.
• Conduct exploratory data analysis using Python, SQL, and other tools.
• Develop and deploy deep learning models to improve forecasting accuracy.
• Collaborate with cross-functional teams including product managers, software engineers, and other scientists.
• Communicate findings and insights through data visualization tools like Tableau or Power BI.
• Stay updated with the latest research and advancements in demand forecasting and machine learning.
Qualifications:
• Bachelor’s or master’s degree in computer science, Statistics, Mathematics, Data Science, or a related field.
• 3+ years of experience in machine learning, statistical modeling, and data analysis.
• Proficiency in programming languages such as Python and SQL.
• Experience with time series forecasting techniques (e.g., Prophet, ARIMA, Holt-Winters, neural networks).
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and presentation skills.
Preferred Qualifications:
• Experience with cloud platforms like GCP.
• Previous experience in demand forecasting or related fields
