We are seeking a talented Senior Data Scientist to join us at our downtown Seattle HQ.

Do you like focusing on challenging problems and finding creative solutions? Would you like to help create something that makes a difference? Do you like to be part of a fast-growing company and be able to put your mark on something early?

The senior data scientist will design, build, and implement a cloud native, data pipeline including feature extraction, transformation, and data cleansing as well as machine learning algorithms to detect patterns and insights. The result of this data pipeline will be a structured data warehouse used to power our SaaS application. We are looking for passionate scientists that want to be part of a company that’s going to change the way enterprise businesses interact with their suppliers




What you’ll be doing:

While you don’t need to have experience in every technology we use, as a startup, we do expect you to be comfortable contributing anywhere throughout the stack. Here are some of the heavy-hitters that we rely on daily: R, Python, Javascript, Postgres, Go.
You will work with product management and customer success teams to understand requirements and customer value
Apply statistical analysis & modeling techniques to datasets large and small, advance existing initiatives and open opportunities to pursue new and previously unexplored research topics across a wide variety of industries and domains
Operate and extend the data science platform to deliver production-grade data curation and analysis services
Own end-to-end data workflows and develop deep domain expertise on the underlying actors and behaviors manifested through data
Visualize and explore data sets to enable the ideation and generation of new, predictive feature

What to bring:

Strong coding skills with data-frames are a prerequisite, example platforms include Pandas, R, Matlab, and Apache Spark.
Demonstrated experience highlighting innovation, creativity, and intuition, e.g the ability to laterally identify other sources of useful information and think ‘outside the box’
Experience applying statistical methods (distribution analysis, classification, clustering, etc.)
Experience with creating & maintaining training datasets and constantly improving ML algorithms
Experience in any of the following toolkits: NLTK, Stanford-nlp, R, GraphLab
Experience with modern database technologies like Postgres, MongoDB, Dynamo
Experience working with large, semi-structured datasets like legal documents, application logs and product invoices
Rigor in automated testing, continuous integration, DevOps and other engineering best practices.
Agile enough to jump into a broad range of projects.
How you match Learn more about how you match this job poster’s requirements.
Criteria provided by job poster
Product Management
Python (Programming Language)
Data Science
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Software as a Service (SaaS)
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Data Warehousing
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Job poster profile
Kory Ferbet 2nd
Technical Recruiting Leader

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Job Details
Seniority Level
Mid-Senior level

Information Technology & Services
Employment Type

Job Functions
Information Technology Engineering Production

How to apply:

Please mention NLP People as a source when applying


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