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Senior Data Scientist
Easygo

  • Melbourne VIC 3000, Australia
  • Full-time
  • Hybrid
  • No Salary Information Available
Posted 74 days ago

Easygo, a leader in the iGaming industry, partners with major brands like Stake.com and Kick.com to deliver unrivaled online entertainment experiences. With a growing team based in Melbourne, Easygo thrives on innovation, craftsmanship, and a commitment to community-driven entertainment. The Senior Data Scientist will play a critical role in developing scalable solutions that enhance the company’s global platforms and engage millions of users.

In this role you can expect to have the responsibilities:

  • Lead the development and deployment of comprehensive machine learning models.
  • Drive technical strategy for large-scale data science projects.
  • Utilize statistical analysis and machine learning methods to address business challenges.
  • Implement robust monitoring systems for ML models in production.
  • Collaborate with stakeholders to align data science initiatives with business needs.
  • Mentor junior data scientists, providing guidance and support.

This role comes with the following benefits:

  • EAP access for you and your family.
  • Access to over 9,000 courses for learning and development.
  • Paid volunteer day.
  • Free daily catered breakfast.
  • Massage Wednesdays.
  • Team lunches and Friday happy hour.
  • Fun office environment with gaming facilities.
  • Complimentary cold drinks and snack offerings.

This role requires you to have:

  • 5+ years of data science experience.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Expertise in Python (numpy, pandas, scikit-learn).
  • Advanced SQL proficiency.
  • Strong understanding of machine learning algorithms.
  • Experience with production ML systems.
  • Cloud platforms and distributed computing experience.

You would benefit from having:

  • Master’s or PhD in a quantitative field.
  • Advanced knowledge of AWS and ML deployment pipelines.
  • Experience with big data technologies.
  • Specialization in NLP, Computer Vision, or Recommender Systems.
  • Proficiency in deep learning frameworks like PyTorch.
  • Experience in technical leadership or mentoring.

Easygo fosters a diverse and inclusive workplace, ensuring equal opportunities for all employees regardless of race, religion, gender, sexual orientation, or disability status.

The content on this page is not written or managed by Alooba. Please reach out to Easygo directly for any addtional information regarding this role.

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