Staff Data Scientist - NLP and Segmentation (U.S.

Staff Data Scientist - NLP and Segmentation (U.S.

This job is no longer open

Reporting to: VP of Data Science & Analytics

Location: United States / remote, requires U.S. work authorization

Compensation: Starts at $160K at Principal Data Scientist level; starts at $175K at Staff Data Scientist level


Wanna use your data science skills for good? If so, then keep reading.

About WorkMoney

WorkMoney is a nonprofit organization dedicated to lowering costs and raising incomes for all Americans to make American life more affordable and American families more economically secure. We provide products, services, perks, benefits, tips, and tools to help members improve their financial lives. We are a trusted source of information about financial matters, economic policy, and public debates about the economy. We also activate and engage our members in advocacy campaigns to support policies and elected leaders to support our core vision that everyone in America can afford to live a good life. You can find out more about WorkMoney at workmoney.org and Facebook.

What are we looking for?

WorkMoney is looking for a Lead Data Scientist with hands-on experience in natural language processing to help transform our data into information. In the year ahead, WorkMoney will be tackling complex problems like identifying signs of financial crisis in text messages, building personas and segments based on text patterns and surfacing key themes and topics in comment collection. This role will lead the data team in the creation of sentiment analyzers, topic modeling, archetype building and more. Successful candidates will have experience with building production ready NLP projects, supervised and unsupervised learning techniques and at least one programming language for data science. We also need someone who can think big and creatively about using data science techniques to help us accomplish our core vision.

As WorkMoney's data science "expert" in a startup environment, you may tackle many projects. We are open to individuals at various levels and encourage you to apply if you are interested in WorkMoney's mission and meet many of the core requirements. We are open to applicants with various levels of leadership experience for this role. Applicants with applicable experience above principal level will be considered at the Staff level.

Core technical responsibilities:

  • Work on mission oriented projects in support of Work Money's broader goals
  • Write clean, concise and optimized code
  • Leverage the latest NLP technologies to help interpret our text data and answer important organizational questions
  • Build high quality machine learning models that contribute to the data team’s ongoing segmentation and personalization efforts
  • Own all parts of the project lifecycle from data transformation and cleaning to model deployment
  • Think big and creatively about the application of data science techniques in accomplishing WorkMoney’s goals

Additional responsibilities at Staff level:

  • Hire, Supervise, and support one or more analysts
  • Provide informal mentorship and training to colleagues
  • Act as a project, product, and personnel manager to move forward complex projects
  • Explore new and creative ways to solve economic justice challenges using data and technology

Core requirements for the role

  • A desire to work in a mission oriented environment; alignment with WorkMoney's economic justice goals
  • Experience building and deploying production NLP and machine learning models in a cloud environment (AWS preferred)
  • Expert in Python or other data science programming language
  • Fluency with NLP techniques like Topic Modeling, Named Entity Recognition, Sentiment Analysis and Information Extraction
  • Excellent communication skills with technical & non-technical audiences alike
  • Self-motivated problem solver with a knack for sniffing out data inaccuracies

For consideration as a Staff level, applicants will meet some of the following requirements:

  • Staff management experience and a desire to grow these skills
  • Experience with project and/or product management in a flexible environment
  • Vendor management and evaluation experience
  • Extensive experience with advocacy, legislative or electoral campaign data science

Salary for Principal level is $160,000

Salary for Staff level starts at $175,000

We utilize transparent and non-negotiable salary bands based on the role and responsibilities.

WorkMoney offers generous healthcare, vacation and retirement benefits -- the kind ALL Americans should be able to have, and which we are proud to offer. Those include, but are not limited to: low deductible healthcare, dental, and vision plans at no cost to you, 401(K) retirement program with up to 6% employer match, four weeks paid vacation, annual work from home stipend, and unlimited sick time.

Why join our team?

We’re mission driven, hard working, and scrappy. We’re a true startup, offering a dynamic work environment where no day is the same and where innovation and rolling up your sleeves is the norm. WorkMoney’s team includes people with a wide-ranging set of backgrounds and expertise. And best of all, we’re a growing crew of collaborative colleagues who are generous, whip-smart, and authentic.

WorkMoney is an equal opportunity employer. WorkMoney prohibits unlawful discrimination against any employee or applicant for employment based on age, color, disability, gender, marital status, national origin, religion, sexual orientation, expression, gender identity, veteran’s status, or any other basis prohibited by law. We strongly encourage applicants from historically under-represented communities and see diversity of all kinds as a tremendous asset to our work.

To Apply

Follow the link to the application page, complete the required fields, and submit a resume and address the following application questions:

  1. Why are you interested in this job?
  2. What makes you want to work at a fast paced social impact startup at this time in your career?
  3. How do you like to learn new technical skills?
This job is no longer open
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