Data Science Developer, Python (Part-Time, Contract)

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Data Science Developer, Python (Part-Time, Contract)

Role:  Data Science Developer, Python (Part-Time, Contract)
Reports to: Tech PM
Compensation: Commensurate with experience

Company

The World Economic Forum estimates it will take another 257 years to close the economic gender gap globally. Pipeline™ believes differently. Our mission is to close the gender equity gap in this lifetime, once and for all. With the tools of the Fourth Industrial Revolution, we believe that the question today isn’t whether or not we CAN close the gender gap – it’s whether or not we CHOOSE to close it.

The Pipeline Platform™ enables companies to realize economic gains from gender equity by using artificial intelligence and cloud computing. We are a fast-moving and action-oriented organization with a culture rooted in three core values:

1. Bravery: We are willing to step into the unknown, fail or succeed, and get back up. We believe that bravery is where the magic happens.
2. Enterprising: We are willing to take action, be resourceful and creative.
3. Purpose: We serve a greater purpose than ourselves – ending the gender equity gap, once and for all.

The Pipeline Platform™ was named one of TIME Magazine’s Best Inventions of 2019. Pipeline™ was also named to Fast Company’s prestigious annual list of the World’s Most Innovative Companies for 2020.

Job Purpose

We are looking for a part-time data science developer with experience in natural language processing. This role will work closely with our lead data scientist, under their guidance to implement all cycles of machine learning model development and provide advice/feedback where necessary. The ideal individual will bring strong expertise in the tools used at Pipeline™ (i.e., Python) as well as experience with natural language processes and projects.

Responsibilities

Experience

To apply or for more information, please contact Pipeline™ at careers@pipelineequity.com.

Pipeline™ is committed to providing equal employment opportunities to our employees, applicants and candidates based on individual qualifications, without regard to race, color, religion, gender, gender identity and expression, age, national origin, mental or physical disabilities, sexual orientation, veteran status, genetic information or any other class protected by federal, state and local laws.