Data Scientist - Remote
Salary undisclosed
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Client - Leading Client
Location - REMOTE
EXP. - 6 yrs+
Duration - Long Term
Role - Data Scientist
Only W2 and 1099
Job Description:
Essential Duties/Responsibilities:
Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering projects
Apply machine learning or reinforcement learning to optimize marketing efforts with respect to customer acquisition, retention, pricing, cross-selling, operations and trading
Passion to learn latest Al techniques and explore applications for large language models
Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers
Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects
Ability to communicate and establish good relations with multi-disciplinary teams
Proficiency with Python, including pandas, scikit-learn
Experience in Spark or Pyspark
Minimum Requirements:
Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.
Ability to communicate and establish good relations with multi-disciplinary teams
Proficiency with Python, including pandas, scikit-learn
Experience in Spark or Pyspark
Minimum Requirements:
Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.
2+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research
Preferred Qualifications:
Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred.
Regards
Dev
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Client - Leading Client
Location - REMOTE
EXP. - 6 yrs+
Duration - Long Term
Role - Data Scientist
Only W2 and 1099
Job Description:
Essential Duties/Responsibilities:
Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering projects
Apply machine learning or reinforcement learning to optimize marketing efforts with respect to customer acquisition, retention, pricing, cross-selling, operations and trading
Passion to learn latest Al techniques and explore applications for large language models
Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers
Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects
Ability to communicate and establish good relations with multi-disciplinary teams
Proficiency with Python, including pandas, scikit-learn
Experience in Spark or Pyspark
Minimum Requirements:
Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.
Ability to communicate and establish good relations with multi-disciplinary teams
Proficiency with Python, including pandas, scikit-learn
Experience in Spark or Pyspark
Minimum Requirements:
Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.
2+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research
Preferred Qualifications:
Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred.
Regards
Dev
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job