Senior Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer on a contract basis, offering a competitive pay rate. Candidates must have a Bachelor's degree in a quantitative field, 4+ years of experience, and proficiency in Python, Big Data frameworks, and predictive modeling techniques.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Mathematics #Scala #Statistics #Java #Visualization #Tableau #ML (Machine Learning) #SQL (Structured Query Language) #C++ #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #Programming #Big Data #Data Framework #Clustering #Computer Science #Hadoop #Classification #Python
Role description
Senior Role
The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the correct answers.
Responsibilities
• Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with the engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
Qualifications
• Bachelor's degree or equivalent experience in a quantitive field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 4 years of experience in quantitative analytics or data modelling
• Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, CC++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
Senior Role
The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the correct answers.
Responsibilities
• Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with the engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
Qualifications
• Bachelor's degree or equivalent experience in a quantitive field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 4 years of experience in quantitative analytics or data modelling
• Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, CC++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
