Data Science Engineer

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.

Elastic is growing quickly and the organization is evolving to support more complexity in offerings and go to market motions. In order to achieve results, we use a wide variety of programs that impact different areas of the Sales and Marketing funnels (from branding to pipeline generation, acceleration and closing).

Elastic is hiring a Data Science Engineer that can help us analyze trends, identify patterns, and extract valuable insights from our data that will support business decision-making. You will be responsible for maintaining and developing predictive models and machine-learning algorithms that can be used to enhance and improve our ETL pipeline, certified datasets, and business processes. This role is pivotal in helping us to achieve prescriptive and predictive analytics. You will work closely with multiple domains of the business, including our Demand Generation, Sales, Field, and Partnership teams.

We are looking for someone who is analytically and technically minded, has a deep understanding of mathematics and statistics, is able to successfully work with multiple teams, and able to translate and communicate findings into practical insights for team members. We want someone with a passion for learning new techniques and creative problem solving.

Key Responsibilities Include:

• Analyze data to discover significant trends and patterns
• Build and maintain predictive models, machine-learning algorithms
• Propose solutions and strategies to business challenges
• Present information using best-practice data visualization techniques
• Perform data analysis, quality checks, and debugging associated with Python Apps
• Help to establish and communicate analytics and engineering-related standards and best-practices
• Provide Ad hoc analysis, troubleshooting and assistance for both our and extended teams
• Collaborate with Engineering, Analytics, and Marketing/Sales Operations

Qualifications:

• • Proven experience in Data Science, Machine Learning, and/or Analytics Engineering
  • Expertise with SQL, Python, and R, BigQuery preferred
  • Understanding of machine-learning, Operations Research, and Database Systems
  • Strong Understanding of mathematical concepts used in Algebra and Statistics
  • Experience with data warehousing architecture and data modeling
  • Strong analytical and interpersonal skills and a willingness to take initiative and chip in beyond basic responsibilities
  • Experience with cloud providers, BigQuery preferred
  • Experience with Google Cloud MLE, Alteryx R/predictive tool suite, Docker Containerization in Kubernetes, or APIs are all a plus

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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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