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Principal Data Scientist - Machine Learning Engineering

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Atlassian

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Location:
United States, Remote

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

145300.00 - 233400.00 USD / Year

Job Description:

We are looking for a Principal Machine Learning Data Scientist to develop and implement our machine learning algorithms, train sophisticated models, collaborate with our technical and non-technical partner teams, to ultimately expand our AI/ML functionality in partnership with our CSS and/or Sales organization. A successful candidate will have strong business instincts, be comfortable communication with executive stakeholders, have expertise in NLP/LLMs, experience partnering with cross-functional teams, and a passion for peer mentorship.

Job Responsibility:

  • Develop and implement our machine learning algorithms
  • Train sophisticated models
  • Collaborate with our technical and non-technical partner teams
  • Expand our AI/ML functionality in partnership with our CSS and/or Sales organization

Requirements:

  • 8+ years of experience in Data Science or related fields
  • Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems using large amounts of data
  • Proven track record of delivering ML projects end-to-end, including designing, development, deployment and monitoring
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Expertise in programming languages such as Python or Java with and the ability to write performant code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Agile development mindset, appreciating the benefit of constant iteration and improvement

Nice to have:

  • 10+ years experience with a post-graduate degree in a quantitative discipline
  • Experience working in a consumer or B2C space and/or domain knowledge of customer support and/or sales including it’s challenges and dynamics
  • Comfort in solving complex problems in ambiguous spaces
What we offer:
  • health coverage
  • paid volunteer days
  • wellness resources
  • bonuses
  • commissions
  • equity

Additional Information:

Job Posted:
March 19, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:
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