Data Scientist

Canada

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Elastic

Power insights and outcomes with the Elasticsearch Platform and AI. See into your data and find answers that matter with enterprise solutions designed to help you build, observe, and protect. Try Elasticsearch free today.

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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 primary focus for the Data Scientist will be driving forward research and development in support of the analytics and machine learning initiatives on Customer Behaviors using the Elastic Stack and their interactions with Elastic!

This position will be responsible for analyzing Observability, Security, Enterprise search, as well as cloud infrastructure and operations data sets. One will be providing recommendations on analytical techniques suitable for such data, drawing insights from the data, developing new models, and supporting the training of models using the Stack, websites, customer interactions, field data, CRM, and other data sources!

What you will be doing

  • Collect, analyze and produce insights from large datasets using the Elastic Stack and Jupyter notebooks.
  • Collaborate with cross-functional teams of data scientists, senior technical leads, and product management.
  • Prototype, implement, and maintain machine learning models using machine learning features in the Elastic Stack.
  • Engage with customer-facing teams to educate them on insights and actions derived from your models.
  • Promote knowledge share and collaboration in a distributed team
  • Working with the community on bugs and performance issues and assisting with any performance issues related to outputs from your work product that other processes will ultimately rely on

What you will bring

  • Strong understanding of data science fundamentals and data analysis techniques.
  • Experience in analyzing time series data/dev-ops data such as logs, metrics, etc.
  • 2+ years of experience in a data science/data analysis role and a track record of effectively driving insights from large volumes of data.
  • Knowledge of building, training, and tuning predictive machine learning, especially in the area of the next best offer or recommended action
  • Experience in Natural Language Processing (NLP) models for sentiment analysis and behavioral modeling
  • Strong experience in Python, Pandas, and Jupyter notebooks.
  • Experience in AI/ML such as clustering, classification, regression, decision trees, etc.
  • Self-motivated, collaborative style, open communicator, experience distributed
  • Good attention to detail and highly organized
  • Familiarity with Elastic Stack and solutions such as Security and Observability (including AIOps), Application Performance Monitoring, and Enterprise Search
  • Familiarity with cloud computing environments (transmission, storage, compute, etc.). Cloud provider architecture certifications are a bonus.

#LI-SH1

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

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.

Please see here for our Privacy Statement.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Classification Data analysis Jupyter Machine Learning ML models NLP Pandas Python Research Security

Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Medical leave Parental leave Salary bonus

Region: North America
Country: Canada
Job stats:  17  2  0
Category: Data Science Jobs

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