Advanced Forecasting Solutions Specialist

2 days ago

Alleppey, Kerala, India beBeeDataScientist Full time US$ 1,00,000 - US$ 1,50,000

Our company is modernizing its demand forecasting capabilities by implementing an enterprise-grade machine learning platform.

As a senior data scientist/engineer, you will design and operationalize advanced forecasting solutions at scale. This role combines hands-on machine learning with solid software engineering practices to deliver robust, scalable, and transparent forecasting capabilities.

  • Key Responsibilities:
  • Design, build, and deploy production-grade forecasting models
  • Develop end-to-end machine learning pipelines for data ingestion, feature engineering, model training, and deployment
  • Build probabilistic models to quantify forecast uncertainty
  • Write clean, modular, object-oriented code following best practices
  • Implement MLOps best practices including model versioning, monitoring, and CI/CD
  • Work with distributed training frameworks for scalable model development
  • Collaborate with cross-functional teams (engineering, product, strategy) to align solutions with business needs
  • Work with cloud-based environments (e.g., Databricks, AWS, GCP) for large-scale data processing

Required Experience:

  • 3–6 years of relevant experience in Data Science / ML Engineering
  • Strong proficiency in Python and core libraries such as pandas, numpy, scikit-learn
  • Hands-on experience with deep learning frameworks (preferably PyTorch)
  • Experience with distributed training and large-scale datasets
  • Proven ability to build scalable, production-grade ML pipelines
  • Familiarity with MLOps practices (CI/CD, monitoring, retraining pipelines)
  • Solid understanding of statistical modeling, regression, and time series
  • Experience working in cloud environments (Databricks, AWS, GCP)
  • Strong software engineering skills with a focus on clean, modular, object-oriented code
  • Excellent problem-solving, communication, and collaboration skills

Required Education:

  • MS or BS in CS or related from a top university

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