Senior Data Scientist

7 days ago

Old Toronto, Canada Atlas Technology Solutions Full time

We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team.

Key Responsibilities

  • Work on, shape and lead an uncharted domain/greenfield data science project.
  • Identify business problems and find the right data/mathematical techniques to address them.
  • Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes.
  • Create high-quality data visualizations.
  • Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman’s terms to be used to inform business decisions.
  • Oversee the activities of the more junior data scientists.

About You

  • You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications.
  • You have 5+ years of experience as a data scientist with exposure to the HR domain a plus.
  • You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers.
  • You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques.
  • You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions.
  • You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies.
  • You are an experienced storyteller and have tens/hundreds of stories about earlier projects.
  • You have previous experience leading others, both inside and outside of the Data Science area.

What We Value

  • You have excellent verbal and written communication skills.
  • You are an out of the box thinker.
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