Words matter. Whether you’re writing marketing copy, product content, knowledge bases, or employee handbooks, the goal is the same: to have clear, consistent, and on-brand content that educates, informs and delights your readers. Everybody in an organization writes, but not everyone is a professional writer, nor can they all be expected to write with the same level of consistency, voice, and tone. Qordoba solves this problem by helping teams write clear, consistent, and on-brand content at scale. Companies such as Marriott, Braintree, and Postmates use Qordoba to create better content up to 90% faster than before.

Founded in 2015 and backed by Upfront Ventures and Aspect Ventures, Qordoba is headquartered in the heart of San Francisco. Named one of Forbes’ Cloud 100 Rising Stars in 2018, we are a team of innovative thinkers who are committed to hiring people who demonstrate our company values: Connect, Challenge, Own. 

We’re looking for extraordinary colleagues to join us as we help organizations master how they write and deliver content.

About the role:

We’re looking for an enthusiastic, experienced Data Scientist to join our San Francisco team. This is an excellent opportunity for a curious and enthusiastic Data Scientist who wants to contribute to a product at the forefront of natural language processing. The ideal candidate is eager to join a diverse, fast-growing team that fosters a fun and growth-oriented office culture.

Fun facts about our team & the Data Science role:

• We turn datasets into testable hypotheses
• Our models have real-world use cases with impactful results for enterprise customers
• Believe that Automation > Manual tasks
• We love to translate predictive models into writing guidance

What you'll do: 

• Design and implement machine learning models and validate model performance in the real world, using feedback from thousands of power users
• Lead development of in-production model deployment pipeline
• Build custom data models using NLP
• Collaborate with our product and engineering teams to create custom models that fit our customers’ needs

About you:

• 3+ years experience working in data science or relevant work capacity
• Proficient with data mining and machine learning
• Hands-on experience in deep learning frameworks such as TensorFlow and PyTorch
• Masterful at Docker and RESTful API development process
• Familiar with big data frameworks such as Hadoop, Spark in Java/Python/Scala
• Knowledge of distributed system and parallel computing is a plus
• Master’s degree or above in computer science, computational linguiststics, natural language processing, natural language generation, mathematics or related fields

Relevant NLP Skills:

• Syntactic & semantic parsing
• Text classification and clustering
• Search indexing
• Question answering and query understanding
• Data analytics and error analysis
• Machine learning with experience in NLP
• Machine translation and compilers