Innovatix Technology Partners
Data Scientist (Marketing Mix Modelling, Forecasting)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (Marketing Mix Modelling, Forecasting) with a contract length of "unknown" and a pay rate of "unknown." Key skills include predictive modeling, machine learning, and proficiency in Python or SQL. A bachelor’s degree in a quantitative field and 1-2 years of relevant experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Java #"ETL (Extract #Transform #Load)" #Hadoop #Data Science #Big Data #Classification #Visualization #Tableau #Computer Science #Statistics #SQL (Structured Query Language) #Predictive Modeling #Spark (Apache Spark) #Clustering #Scala #Data Framework #Data Modeling #Forecasting #Python #C++ #Programming #Mathematics
Role description
The ideal candidate's favorite 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 right answers.
Responsibilities
• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
Qualifications
• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 1 - 2 years' of experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, C,C++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
The ideal candidate's favorite 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 right answers.
Responsibilities
• Analyze raw data: assessing quality, cleansing, structuring for downstream processing
• Design accurate and scalable prediction algorithms
• Collaborate with engineering team to bring analytical prototypes to production
• Generate actionable insights for business improvements
Qualifications
• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 1 - 2 years' of experience in quantitative analytics or data modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in a programming language (Python, C,C++, Java, SQL)
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
