Project X Ltd. is a boutique advisory, systems integration and support firm focusing on data & analytics and business consulting$1. .$1
Business Intelligence • Data Integration • IT Effectiveness • Rapid Results • Systems Integration
September 10
🏢 In-office - Toronto
Project X Ltd. is a boutique advisory, systems integration and support firm focusing on data & analytics and business consulting$1. .$1
Business Intelligence • Data Integration • IT Effectiveness • Rapid Results • Systems Integration
• Participate in the requirements gathering, analysis, project plans, and solutions design. • Work with internal and external stakeholders to identify opportunities for leveraging company data to drive business solutions. • Feature engineering, selection and optimization models with ML techniques. • Improve data collection procedures and pipelines. • Perform data profiling and exploration to ensure the integrity of data. • Productionalize data models with feedback loop to automate the refinement process for deployed models over time. • Participate in the development of project plans to establish appropriate workload expectations and schedules. • Maintain up-to-date knowledge of, and adopt relevant market trends and practices.
• 7+ years of hands-on experience in Data Science • Solid Python and SQL development skills. • Experience with NLP and LLM • Experience with ML/Data Science modules in Python: NumPy, Pandas, Scikit-Learn and various notebook environments e.g. Jupyter, Vertex AI, Colab). • Experience building recommendation engines • Must have experience in working with ML Engineers and ML ops to deploy and automate models • Understanding of different Deep learning frameworks such as Keras, Pytorch, and TensorFlow. • Experience with NLP frameworks/libraries, e.g., Gensim, SpaCy, etc. • Experience building NLP and NLU models with state-of-the-art algorithms, e.g., BERT, Transformer, etc. • Advanced degree in Computer Science, Software Engineering, Business Intelligence, Data Science, or related field. • Critical thinking capabilities and a consultative mindset. • Experience with A/B testing is considered strong asset • Knowledge of cloud technology, e.g. AWS, GCP or Azure. • BigQuery experience is nice to have
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