Multiple employees collaborating on work
Atlassian Logo

Atlassian

Senior Data Scientist - Machine Learning

Posted Yesterday
Remote
Hiring Remotely in Bengaluru, Karnataka
Senior level
Remote
Hiring Remotely in Bengaluru, Karnataka
Senior level
The Senior Data Scientist will work within the AI, Systems, and Technology team to develop and implement machine learning algorithms, train models, and collaborate with cross-functional teams. They will focus on enhancing AI/ML functionality for customer support and sales, requiring effective communication with stakeholders and proficiency in various machine learning methods.
The summary above was generated by AI

Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
To help our teams work together effectively, this role requires you to work EMEA timezone hours.
The AI, Systems, and Technology (AIST) team drives transformative changes through Machine Learning and Artificial Intelligence solutions for our Customer Support Services (CSS) organization with a focus on efficiency and effectiveness & AI responsibility while encouraging Human in Loop. Our team consists of Machine Learning Engineers, Data Scientists, Systems Engineers, and Software Engineers and provides many opportunities for collaboration, knowledge sharing, and individual growth.
We are looking for a 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.
On the first day, we'll expect you to have

  • 5+ 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


It's great, but not required, if you have

  • 5+ 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


Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .

Similar Jobs at Atlassian

2 Hours Ago
Remote
Bengaluru, Karnataka, IND
Junior
Junior
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Data Engineer at Atlassian, you'll build and manage data pipelines and services, work with stakeholders to improve data ingestion into the data lake, and create efficient micro-services. Your technical expertise will help enhance a multi-petabyte data lake using a variety of tools including Spark and AWS services.
14 Hours Ago
Remote
India
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Machine Learning Systems Engineer at Atlassian, you will build and scale AI and ML infrastructure, enabling software engineers and data scientists to develop, deploy, and operate machine learning models. You will mentor junior members, drive technical projects, and collaborate with cross-functional teams to enhance the user experience with AI capabilities.
Top Skills: Java,Kotlin,Aws
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Senior Data Engineer, you will build data solutions and applications that influence key business decisions, manage data models/pipelines, improve data quality, and partner with data analytics teams to enable data-driven insights. You will also be responsible for architectural design, data acquisition, and collaborating with various stakeholders.
Top Skills: AirflowAWSFlinkHiveKafkaPythonSparkSQL

What you need to know about the Ottawa Tech Scene

The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account