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Director, Data Science - Jobs in Toronto

Wiser Solutions
Job LocationToronto
EducationNot Mentioned
SalaryNot Mentioned
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeContract

Job Description

Job DescriptionLocation of Job: Remote in CanadaWe are seeking a dynamic and results-driven Director of Data Solutions to lead our talented team of data scientists and machine learning engineers. The ideal candidate will play a crucial role in shaping the direction of our data science initiatives, driving innovation, and ensuring the delivery of high-impact solutions for our customers. We strongly encourage applications from candidates with diverse backgrounds and experiences. Essential Functions 1. Leadership and Team Management:

  • Develop and execute the overall data science and machine learning strategy.
  • Advocate our vision and strategy to the data science team, fostering a collaborative and innovative work environment.
  • Lead, mentor, and develop a diverse team of data scientists, machine learning engineers, and data analysts, fostering a culture of continuous learning and growth for all individuals.
  • Champion the ethical development of data science models, implementing rigorous measures to eliminate bias and ensure validity.
2.Solution Delivery:
  • Oversee the end-to-end development and deployment of data-driven solutions.
  • Collaborate with cross-functional teams to integrate data science solutions into the Wiser platform.
3.Collaboration and Communication:
  • Collaborate with a diverse and globally distributed team to understand the problems our products and customer face, manage your team to develop solutions and educate our stakeholders on the solution and the science behind it.
  • Communicate the benefits and trade-offs of using external data science services and open-source models vs. building our own.
4. Innovation and Continuous Improvement:
  • Stay abreast of industry trends and advancements in data science and in the e-commerce market.
  • Drive a culture of continuous improvement, exploring and adopting innovative approaches to data solutions.
Technologies We Use
  • Python, R, Scala, Tensorflow, Sagemaker,
  • AWS, Docker, Kubernetes
  • PostgreSQL, MySQL, MongoDB, Elasticsearch, Snowflake

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