Senior Data Scientist Consultant

Senior Data Scientist Consultant

DataKind is looking for a Senior Consultant, Data Scientist (Remote)!

Objective 

Nonprofit organization DataKind is requesting proposals for mid to senior-level data scientists. 

Context 

DataKind is a global nonprofit dedicated to harnessing the power of data science and artificial intelligence (AI) in the service of humanity. DataKind matches skilled volunteers from academia and industry with visionary changemakers, collaboratively designing innovative solutions to tough social challenges. 

People are at the center of our process: DataKind follows human-centered design principles that focus on questions such as “why?”, “for whom?” and “should we?” before we get going on the “what?”. We’ll continue our work until all people and all communities can use digital technology for the outcomes they want to see, with an emphasis on including those who have historically been excluded from the technology sector or will be impacted by the intervention. 

Engagement Description 

DataKind’s success ultimately comes down to the quality, timeliness, and effectiveness of our data science projects. The Senior Data Scientist Consultant will support a portfolio of projects in DataKind’s education portfolio, supported by Google.org, using cutting-edge technology to help high-performing organizations nation-wide make an even greater impact. In this a highly visible and high impact role. The Data Scientist Consultant will report to the Head of Data Science and will work closely with other staff and data scientists.

This is a remote consultant role for an estimated 40 hours/week from mid December through end of May 2024 with a possibility of an extension. Due to the collaborative nature of the role, we require that the majority of working hours each day fall between 8am and 6pm Eastern Standard Time.  

What You’ll Do 

The Senior Data Scientist Consultant will be responsible for the following in addition to any other projects assigned by their manager:

  • Manage data science and business intelligence products hosted by DataKind, primarily in the education and lifelong learning domain
  • Lead data science solutions beyond prototype phase to scaled products, including infrastructure to support multiple clients
  • Design and carry out feasibility studies and exploratory analyses for proposed projects and areas of opportunity
  • Advance internal analytics reporting and automation capabilities

The consultant should be willing to work a flexible schedule to meet on some nights or weekends to help run DataKind events.

Qualifications 

  • At least 5 years of work experience, preferably including experience leading teams and delivering outputs in a nonprofit or start-up context.
  • Fluency in data science technology stack including R/Python, SQL, Postgres, AWS, and related technologies.
  • Deep experience in machine learning/AI with confidence in applying, tuning and evaluating a wide variety of AI algorithms, from logistic regression and random forests to deep learning.
  • Comfort and skill in communicating and presenting highly technical information to semi- and non-technical audiences.
  • Experience in building products for demonstrated customer needs and a service orientation that will allow you to represent DataKind well to our stakeholders, partners, and funders.
  • Preferred: Experience working in education, ed-tech, higher ed, or learning management solutions

Compensation

$100 - $150/hour 

Based on the candidate’s level of experience.

Proposal 

By 12PM EST on Friday, December 1, interested parties are requested to provide the following:

  • A resume describing relevant professional experience
  • A cover letter that includes a short description of why you are interested in the position and outlines how your qualifications align with the role
  • If possible, a relevant work sample that demonstrates your ability to break down complex concepts in a compelling, approachable way. This could be any medium - github profile, thesis, blog post, etc. - and could have redacted information as needed. 
  • Two references (name, phone number, and email address) from similar work, including a brief description of each project scope

Selection 

Strong proposals will be contacted for further discussion. These will be selected based on relevance of past experience. 

 

DataKind is an Equal Opportunity Employer

 DataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category. 

Applicants must be currently authorized to work in the United States.

Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.