Data Science/NLP QA Engineer - USA

Data Science/NLP QA Engineer - USA

Who We Are!

Within 3's virtual engagement platform helps the top life science and pharmaceutical companies in the world to engage more efficiently with physicians and patients. Drugs get to market faster. Patients can be heard. Busy physicians can spend more time with patients.

We work hard to create a dynamic and collaborative culture where innovation is encouraged. Even as a globally distributed organization, we strive to create and maintain connections that not only make work fun but make our work better!

The Challenge

We are looking for a self-motivated Data Science/AI QA Engineer to be part of a team that builds and enhances online collaboration solutions for our healthcare clients. This position has the unique ability to drive the architecture of quality engineering solutions within this team.

What you can expect from the opportunity

  • Work closely with AI engineers, Data Engineers, and DevOps to architect, develop, automate and maintain gray/white-box processes.
  • Design and implement unit and integration tests covering machine learning models with a variety of data sets.
  • Architecting, implementing, and improving quality engineering solutions for the product.
  • Create statistical robustness tests for trained models
  • Create simulated dataset replicating real-world scenarios.
  • Debug and define corrective action.
  • Create detailed, comprehensive and well-structured test suites using programming languages such as Python or Ruby
  • Track quality assurance metrics.
  • Create UI test automation suites for web based applications.

What you need to grow and succeed

  • 5-10 years of experience in quality engineering or software development for analytics and NLP products
  • Strong test engineering experience in:
    • API and REST
    • Cloud-based deployments
    • Automated reporting
  • Strong technical experience with:
    • Languages: Node, Python, and Ruby
    • Databases: PostgreSQL, Redis, Couchbase, and other time series and graph databases
    • Data and Schema Validators: Colander, Schema or similar tools based on language.
    • API/REST Testing Tools: GraphQL, Postman, Jest, SuperTest, or similar
    • Test Automation:
    • Cloud Platforms: AWS, Heroku, or similar
    • Cloud Monitoring: Data Dog, ELK, etc. New Relic (Synthetics a huge plus)
    • Source Data: Sidekiq
  • Experience architecting, building, and deploying data scale and API limits
  • Strong experience architecting new quality engineering solutions
  • Comfortable being the sole quality engineer on a team
  • Experience with NLP softwar

What's on offer!

  • Fully remote home-based flexible working.
  • Create your own home working space, including MacBook Pro and monthly communication allowance.
  • You will benefit from our unique approach to flexible working - Work Life Balance! And we mean it!
  • A competitive compensation package & benefits programme aligned to your location.
  • Growth & advancement in a forward thinking and dynamic organization where culture is everything!
  • Don't believe us - check us out on glass door

Don’t meet every single requirement? Studies have shown that women, members of the LGBTQ+ community and people of color are less likely to apply to jobs unless they meet every single qualification. At Within3 we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Within3 is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at Within3 regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor.

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