Associate Data Scientist - ElastiGrad

Austin, TX

Full Time Mid-level / Intermediate USD 38K - 109K *
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We're the creators of the Elastic (ELK) Stack -- Elasticsearch, Kibana, Beats, and Logstash. Securely and reliably search, analyze, and visualize your data in the cloud or on-prem.

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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 is expanding its Customer Success Group team with a new graduate program we’ve titled “Elastigrad” to support the explosive adoption of our offerings! Companies like Netflix, Lyft, Facebook, The New York Times, and NASA are looking to Elastic to help solve their big data problems. The Customer Success Group team is in charge of developing solutions that focus on customers and their experience when consuming our products and services. The Customer Data team builds and maintains solutions that allow getting insights from our customers’ data journey

The Customer Data Office team is looking for an Associate Data Scientist to support data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Sr. Data Scientists to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. 

As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. You will collaborate with different data teams across the organization and with all different functions within the CSG team to work on new and improve existing algorithms.

At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. The Elastic family unites employees across 30+ countries into one coherent team, while the broader community spans across over 100 countries.

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. Elastic cares about our employees personal fulfillment and well being and because of this we offer fantastic employee benefits including volunteer time off, a generous paid vacation policy, and fully paid health insurance. In addition, our office provides great amenities such as coffee, snacks, and daily lunch.


What you will bring along:

  • Bachelor/Master's degree completed by fall 2022 in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
  • Building partnerships and working collaboratively with others to meet shared objectives
  • A passion for building strong customer relationships and delivering customer-centric solutions
  • Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Actively seeking new ways to grow and be challenged using both formal and informal development channels

What you will be doing:

Building Solutions:

  • Design and develop algorithms and models to use against large datasets to create business insights; 
  • Supports data science projects by conducting effective analysis to solve business problems; 
  • Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge

Communicating Results:

  • Effectively communicate insights and recommendations to both technical and non-technical audience; 
  • Support preparation of reports, updates and/or presentations related to progress made on a project or solution; 
  • Highlights potential impacts of recommendations to drive alignment and appropriate implementation

Technical Learning :

  • Continually develop skills and expertise in data analytics concepts and methodologies; 

Bonus Points:

  • Basic knowledge or exposure to predictive modeling, data mining and data analysis
  • Experience in a modern scripting language (preferably Python)
  • Experience running queries against data (preferably with Google BigQuery or SQL)
  • Experience with data visualization software (preferably Tableau or Kibana)
  • Experience utilizing statistical techniques to identify key insights that help solve business problems

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 salary survey at

Tags: Big Data BigQuery Data analysis Data Analytics Data Mining Data visualization Elasticsearch GitHub Kibana Logstash Open Source Predictive modeling Python Security SQL Statistics Tableau

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

Region: North America
Country: United States
Job stats:  8  1  0
Category: Data Science Jobs
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