Observability - 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.

At Elastic, we see endless possibilities in a world of data, and we use the power of search to help people and organizations turn that possibility into results. Elastic is the leading platform for search-powered solutions. With solutions in Enterprise Search, Observability, and Security, we help improve customer and employee search experiences, keep critical applications running smoothly, and protect against cyber threats. Elastic enables organizations worldwide to use the power of Elastic, including Netflix, Uber, BBC, Microsoft, and thousands of others.

Elastic was built on a foundation of being free and open, which trickles down to how we work. We’re a distributed organization and have been from the beginning. Being distributed isn’t just a way of doing business—it’s a mentality that is at the core of our culture.

Engineering philosophy

We believe that engineering complex, pluggable software for the web that is built to last the test of time is both tricky and exciting. Doing so requires a team of diverse individuals, with sharp minds and the ability to empathize with our users, working together with mutual respect and a common mission.

We care deeply about giving you full ownership of what you're working on. Our company fundamentally believes great minds achieve greatness when they are set free and are surrounded and challenged by their peers, which is clearly visible throughout our organization. At Elastic, hierarchy does not determine how decisions get made. We feel that anyone needs to be in the position to comment on anything, regardless of their role within the company.

The Role

The Observability team is in charge of developing solutions that focus on application developers and engineers that run infrastructure and services supporting these applications. Elasticsearch is an efficient datastore for logs, metrics, and application traces, supporting the three pillars of observability. 

Faced with an ever-increasing volume, variety and velocity of data generated by applications and infrastructure, Ops teams need to leverage big data and machine learning techniques to manage their applications and infrastructure. AIOps (Artificial Intelligence for IT operations) enhances a broad range of IT operations processes including anomaly detection, event correlation, and root cause analysis to improve monitoring, service management, remediation assistance, and automation tasks.

The team is looking for a Data Scientist who will be working in a team of developers and in collaboration with other data scientists to evolve our Observability product, leveraging AI on Logs, Metrics, APM, Synthetic Monitoring and other data to ensure the delivery a comprehensive solution that will help our users to reduce their mean time to detect (MTTD) and to repair (MTTR). 

You will collaborate with the broader Elastic Observability and Platform teams, a diverse set of software and machine learning engineers, experts in all the pillars of observability who lend domain expertise to work with you to creatively solve Observability problems. 

The team is diverse and distributed across the world, and collaborates on a daily basis over GitHub, Zoom, and Slack. Thus, the ability to work within a distributed team is critical.

What you will be doing

• Joining the Actionable Observability team
• Collecting and analyzing observability data to design and improve your models
• Designing and developing models to solve observability problems
• Collaborating with product managers and designers to leverage AIOps for Elastic Observability
• Working with other engineers to get your data solutions implemented as features into the Observability product
• Participating in collaborative efforts to improve our ML jobs with the ML teams
• Promoting long-term vision for leveraging AI/ML techniques to creatively surface and solve Observability problems (senior position)

What you will bring along

• Experience developing statistical and machine learning models
• Solid understanding of supervised and unsupervised machine learning for classification, regression, clustering, anomaly detection, and NLP 
• Proficient programming skills and experience using any of the most popular ML frameworks, e.g. Scikit-Learn, SpaCy, PyTorch, Keras, or TensorFlow
• Experience working within engineering teams and being able to apply engineering solutions to data science problems
• Ability to work in a fully remote and highly autonomous environment
• Experience working with large volumes of time serie and unstructured data

What Would Be A Great Addition

• Experience with observability, monitoring, and/or AIOps solutions
• Experience using the Elastic Stack
• Proficiency with Javascript and/or C++

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 an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Equal Employment Opportunity (EEO) Poster; and Employee Polygraph Protection Act (EPPA) Poster.

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