Job description

Minimum Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, or related technical field.
  • 5-6 years experience in data science or 3 years direct experience building forecasting solution.
  • Familiar with forecasting algorithms, such as Time Series (Arima, Prophet), ML (GLM, XgBoost), Hierarchical model (Top Down, Bottom Up), DL (Seq2Seq, Transformer), and Ensemble methods.
  • Hands-on experience with building end-to-end ML models and pipelines.
  • Experience with Git, Bitbucket, Airflow, MLflow, Kubeflow, GCP Vertex AI, Databricks or equivalents.
  • Experience & Knowledge of large-scale data processing and distributed systems such as Hadoop and SPARK.
  • Strong coding skills in Python, Spark and SQL.
  • Strong communication and collaboration skills
  • Exposure in various statistical modelling, machine learning algorithm/techniques (ML)

Preferred Qualifications:

  • Master/ PhD degree in Computer Science, Software Engineering, Mathematics, or related field.
  • Experience with optimisations, debugging, fine-tuning existing applications in distributed computing environment for high performance and scalability with Big Data.
  • Experience with an agile development environment.
  • Exposure in tools/framework to monitor and analyse ML model performance and data accuracy.

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