• Lead Data Scientist, Python, NumPy, Scikit, Pandas, SpaCy, Gensim, ML, Deep Learning, Visualisation, Jupyter notebooks, TensorFlow, Pytorch, Keras
  • Contract W2, Contract Independent, Contract Corp-To-Corp, 12 Months
  • Depends on Experience

Job Description

  • Experience in setting up supervised & unsupervised learning models, including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualisation
  • Candidate has strong experience in classification, prediction, and anomaly detection using Machine Learning and Deep Learning techniques
  • Candidate has strong coding skills in Python (preferred) or R , with knowledge of popular open-source modules such as NumPy, Scikit-learn, Pandas, SpaCy, Gensim, etc.
  • Knowledge of some of the popular Deep Learning frameworks such as TensorFlow, Pytorch, Keras, Jupyter etc.
  • Candidate can develop solutions e.g., using Jupyter notebooks but can also develop production standard code
  • Ability to translate business requirements into a detailed technical solution
  • Ability to be able to effectively present findings to a non-technical audience
  • Candidate is proficient in SQL languages, and querying relational databases such as Oracle, MySQL, PostGres etc.
  • Proficient in version control using GIT
  • Strong communication skills to liaise with key stakeholders

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