Tundra Technical Solutions
Applied Scientist IV
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Applied Scientist IV, offering a contract length of "unknown" with a pay rate of "unknown". Key skills include Python, SQL, and ML frameworks. Requires a Master’s or PhD and 5+ years in deploying ML models, preferably in ad-tech.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
June 13, 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
Seattle, WA
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🧠 - Skills detailed
#Statistics #ML (Machine Learning) #PyTorch #Strategy #Python #Scala #Mathematics #TensorFlow #SQL (Structured Query Language) #Computer Science #Deployment
Role description
Join a team driving the next generation of personalization and growth for digital media campaigns. This role builds ML-powered systems that optimize ad targeting, measure campaign impact, and guide marketing strategy. You’ll design experiments, create predictive models, and develop recommendation engines that directly influence campaign performance and customer acquisition.
The position covers the full ML lifecycle—from research and experimentation to production deployment—working closely with engineering to deliver scalable, high-impact solutions.
Requirements:
• Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Economics, or related field
• 5+ years deploying ML models in production
• Strong Python, SQL, and ML framework experience (PyTorch, TensorFlow, or equivalent)
• Background in marketing measurement, ad-tech, or performance analytics
Join a team driving the next generation of personalization and growth for digital media campaigns. This role builds ML-powered systems that optimize ad targeting, measure campaign impact, and guide marketing strategy. You’ll design experiments, create predictive models, and develop recommendation engines that directly influence campaign performance and customer acquisition.
The position covers the full ML lifecycle—from research and experimentation to production deployment—working closely with engineering to deliver scalable, high-impact solutions.
Requirements:
• Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Economics, or related field
• 5+ years deploying ML models in production
• Strong Python, SQL, and ML framework experience (PyTorch, TensorFlow, or equivalent)
• Background in marketing measurement, ad-tech, or performance analytics
