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Data Scientist

Spin Master

Toronto

On-site

CAD 70,000 - 90,000

Full time

5 days ago
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Job summary

Join a leading global children's toy and entertainment company as a Data Analyst. You will work on machine learning models, data analysis, and collaborate with teams to drive insights. Ideal for those passionate about data and innovation.

Benefits

Growth and Career Opportunities
Flexible Work Hours
Comprehensive Benefits
Other fun Perks

Qualifications

  • Experience in data science with machine learning focus.
  • Experience in cloud platforms like Google, Azure, or AWS.

Responsibilities

  • Cleansing and extracting insights from large datasets.
  • Design and implement machine learning models on Google Cloud Platform.
  • Collaborate with cross-functional teams for data-driven decision-making.

Skills

Data Science
Machine Learning
Collaboration
Statistical Analysis

Tools

Python
R
SQL
Power BI
Tableau
TensorFlow
PyTorch

Job description

Please Note: If you are a current Spin Master employee with access to Workday, apply to this job via the Workday application.

Are you a kid at heart looking to build a career with a leading global children's toy, entertainment and digital gaming company?

At Spin Master, our unwavering commitment to open mindedness, integrity and innovation is a great part of what has made us an industry leader. How do we stay ahead of the pack? By hiring the best and brightest minds—and that’s why we want you!

Job Description:

What will you work on?

As a member of the Data Analytics team, you will be responsible for cleansing and extracting insights from large datasets by developing and deploying machine learning models on Google Cloud Platform, leveraging its suite of products to derive actionable insights and solve complex business problems. You will collaborate with cross-functional teams to drive data-driven decision-making and enhance our product offerings in areas of Category Management, Sales and Operations, Franchising/Merchandizing, Consumer Sentiments, Brand Loyalty etc.

How will you create impact?

  • Exploratory Data Analysis: Collect, clean, and preprocess large datasets from various sources, ensuring data quality and consistency. Perform EDA to uncover patterns, trends, and relationships within the data.
  • Machine Learning: Design, develop, and implement machine learning models to address business challenges and improve decision-making processes by utilizing GCP’s ML tools such as AutoML, BigQuery ML and TensorFlow to build scalable models. Continuously monitor and refine models to ensure accuracy and effectiveness. Deploy machine learning models on GCP using Vertex AI. Ensure models are optimized for performance, scalability, and cost-effectiveness.
  • Experimentation and Testing: Design and execute A/B tests, experiments, and other statistical tests to measure the impact of different business strategies. Analyze experiment results and provide actionable recommendations to stakeholders.
  • Collaboration and Communication: Work closely with data engineers, program manager, data visualization engineers and other stakeholders to understand business needs and translate them into technical requirements. Present results and findings to non-technical stakeholders in a clear and concise manner. Collaborate with data engineers to deploy and integrate machine learning models into production systems.
  • Google Cloud Platform Utilization: Leverage GCP’s suite of products, including BigQuery, Vertex AI, Cloud Storage and Power BI/Tableau to manage and analyze data.



What are your skills and experience?

  • Experience in data science, with a focus on using machine learning for higher accuracy and improved time to market on projects delivery.
  • Experience in cloud platforms like Google or Azure or AWS.
  • Technical Skills:
    • Strong programming skills in Python, 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.



#LI-Onsite #LI-HM1

What you can expect from us:

Our mission is to Make Life More Fun with a vision to push the boundaries of innovation, creativity, and fun.

  • Growth and Career Opportunities
  • Flexible Work Hours
  • Innovation, Collaboration and Fun
  • Comprehensive Benefits
  • Other fun Perks!

What’s it like to work here?

Spin Master is a fast-paced, hands-on organization that provides many great opportunities for impactful decision-making; though our challenging start-up atmosphere isn’t for everyone, we have a proven record of opportunities for future advancement and internal transfers for our passionate and results driven team.

Everyone is welcome in our sandbox and we are committed to an accessible and inclusive hiring process that provides reasonable accommodation to all applicants.

Spin Master strives to create an accessible and inclusive application and selection process and is committed to working with and providing reasonable accommodation to job applicants who may require provisions to participate in the recruitment, selection and/or assessment processes. Should you require an accommodation, please contact our Talent Acquisition team, by email at TAinquiries@spinmaster.com or by phone at 416 364-6002 and we will work with you to meet your accessibility needs.

Follow us on Instagram and Twitter @SpinMaster to stay up to date on Spin Master career opportunities.

We do appreciate all interest; however only those selected for interview will be contacted.

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