Apps IT Limited
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with 5+ years of Python-based forecasting experience, focusing on driver-based and stochastic demand forecasting. The contract length is "unknown," with a pay rate of "unknown," and requires expertise in time series analysis and data engineering.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 17, 2025
🕒 - 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
San Francisco Bay Area
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🧠 - Skills detailed
#PyTorch #Strategy #Pandas #AI (Artificial Intelligence) #Scala #Python #Regression #SQL (Structured Query Language) #NumPy #Statistics #Time Series #Deployment #Forecasting #Data Engineering #Data Science
Role description
We’re seeking a Senior Data Scientist with strong expertise in driver-based and stochastic demand forecasting to build next-generation predictive intelligence for enterprise planning. You’ll develop scalable, interpretable, and production-grade forecasting models that directly impact supply, finance, and strategy.
Key Responsibilities:
• Build and deploy time series, regression, and probabilistic forecasting models in Python.
• Develop driver-based and stochastic models using causal, simulation, and Monte Carlo methods.
• Automate pipelines for model training, validation, and deployment at enterprise scale.
• Integrate forecasts with planning, S&OP, and optimization systems.
• Measure performance through accuracy, bias, and cost-of-error metrics.
Requirements:
• 5+ years’ experience in Python-based forecasting (scikit-learn, statsmodels, PyTorch, Prophet, XGBoost, LightGBM).
• Proven expertise in causal/driver-based and stochastic modeling.
• Strong background in time series analysis and data engineering (Pandas, NumPy, SQL).
• Track record of delivering enterprise-scale forecasting solutions.
• Excellent communication and business translation skills.
Preferred:
• Experience in semiconductor or high-tech manufacturing.
• Familiarity with AI-driven demand planning or ERP/S&OP systems.
• Graduate degree (MS/PhD) in Statistics, Data Science, or related field.
We’re seeking a Senior Data Scientist with strong expertise in driver-based and stochastic demand forecasting to build next-generation predictive intelligence for enterprise planning. You’ll develop scalable, interpretable, and production-grade forecasting models that directly impact supply, finance, and strategy.
Key Responsibilities:
• Build and deploy time series, regression, and probabilistic forecasting models in Python.
• Develop driver-based and stochastic models using causal, simulation, and Monte Carlo methods.
• Automate pipelines for model training, validation, and deployment at enterprise scale.
• Integrate forecasts with planning, S&OP, and optimization systems.
• Measure performance through accuracy, bias, and cost-of-error metrics.
Requirements:
• 5+ years’ experience in Python-based forecasting (scikit-learn, statsmodels, PyTorch, Prophet, XGBoost, LightGBM).
• Proven expertise in causal/driver-based and stochastic modeling.
• Strong background in time series analysis and data engineering (Pandas, NumPy, SQL).
• Track record of delivering enterprise-scale forecasting solutions.
• Excellent communication and business translation skills.
Preferred:
• Experience in semiconductor or high-tech manufacturing.
• Familiarity with AI-driven demand planning or ERP/S&OP systems.
• Graduate degree (MS/PhD) in Statistics, Data Science, or related field.
