Data Scientist for Business Innovation

2 days ago


Old Toronto, Canada Spin Master Full time

Are you passionate about harnessing the power of data to drive business growth and innovation?

Spin Master, a leading global children's toy, entertainment, and digital gaming company, is seeking a skilled Data Scientist to join our Data & Analytics team. As a key member of this team, you will be responsible for extracting insights from large datasets, developing and deploying machine learning models on Google Cloud Platform, and collaborating with cross-functional teams to drive data-driven decision-making.

About the Role
  • You will work closely with data engineers, program managers, and other stakeholders to understand business needs and translate them into technical requirements.
  • You will design, develop, and implement machine learning models to address business challenges and improve decision-making processes.
  • You will collaborate with data visualization engineers to deploy and integrate machine learning models into production systems.
  • You will leverage GCP's suite of products, including BigQuery, Vertex AI, Cloud Storage, and Power BI/Tableau to manage and analyze data.

This role requires a strong background in data science, with experience in machine learning, data preprocessing, feature engineering, and model evaluation techniques. You should be proficient in SQL, Python, and R programming languages, as well as have experience with data visualization tools such as Power BI, Tableau, and Matplotlib.

What We Offer
  • A competitive salary range of $120,000 - $150,000 per year, based on experience.
  • A comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.
  • The opportunity to work with a talented team of professionals who share your passion for innovation and data-driven decision-making.
  • Professional development opportunities, including training and education programs.
  • A collaborative and dynamic work environment that encourages creativity and out-of-the-box thinking.
Requirements
  • Bachelor's degree in data science, computer science, statistics, mathematics, or a related field.
  • Strong programming skills in Python and R, with experience in data science libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.
  • Proficiency in SQL for data querying and manipulation.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Experience with data visualization tools (e.g., Power BI, Tableau, Matplotlib) to create clear and impactful visualizations.
  • Strong knowledge of statistical analysis, hypothesis testing, and machine learning techniques.


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