Data Scientist

Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe. Learn more at elastic.co.

The Machine Learning team is responsible for developing and integrating statistical tools and machine learning models in ElasticSearch and Kibana. Be it for Search, Observability or Security use cases, we design features that are available across our platform. Our team is made of several specialized groups: backend, UI, Q&A and data. Today we are looking for someone to join our ML data team.

Your primary focus will be driving forward research and development in support of the machine learning and analytics initiatives in the Elastic Stack. You will be analyzing and building Observability, Security, and Enterprise Search data sets, providing recommendations on analytical techniques suitable for such data, drawing insights from the data, developing new models, and supporting the development of new ML and statistical features in the Stack.

You will closely collaborate with the machine learning platform team, as your role is to make sure that new features are tested, fine-tuned, and integrate well into the stack using real-life datasets.

What you will be doing

• Collect and analyze, real life, solution-centric datasets.
• Statistical testing of performance and integration of features and models
• Prototype and implement machine learning models using the Elastic Stack
• Use advanced statistical techniques to produce insights from data
• Collaborate with cross-functional teams of data scientists, engineers, and product management
• Promote knowledge share and collaboration in a distributed team

What you will bring

• Understanding of various types of machine learning algorithms (clustering, classification, regression, decision trees, neural networks, NLP etc.).
• 2+ years of Industry experience in research, design, and development of machine learning models.
• 2+ years of experience in applying advanced statistical and machine learning techniques to solve problems
• 2+ years of professional software development experience in Python or Java
• Experience with libraries and frameworks like numpy, pandas, scikit-learn, pyTorch, Hugging Face, tensorflow, etc.,
• Self motivated, collaborative style, open communicator, experience distributed
• Good attention to detail and highly organized
• Real passion for data, analysis and achieving excellence
• Experience with the Elastic Stack is useful, but not mandatory
• A background in Search Relevance, Security and/or Observability (including AIOps) is a bonus

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Double your charitable giving - We match up to $1500 (or local currency equivalent)
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

Different people approach problems differently. We need that. Elastic is committed to diversity as well as inclusion. We are an equal opportunity employer and committed to the principles of affirmative action. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. If you require any reasonable accessibility support, please complete our Candidate Accessibility Request Form. 

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