Data Scientist (Thorn)

Thorn is a non-profit focused on building technology to defend children from sexual abuse. Working at Thorn gives you the opportunity to apply your skills, expertise and passions to directly impact the lives of vulnerable and abused children. Our staff solves dynamic, quickly evolving problems with our network of partners from tech companies, NGOs, and law enforcement agencies. If you are able to bring clarity to complexity and lightness to heavy problems, you could be a great fit for our team.

As a Data Scientist you will uncover valuable insights, adding intelligence to our existing and future products. The work you will do will be a combination of finding quick wins and developing longer term research. You will collaborate closely with Engineering and Product to identify insights and models most valuable to research and implement. You will be responsible for acquiring data, crafting and performing analytical experiments in a disciplined manner, evaluating and iterating on results, and discussing results with your team. When you and the team conclude that the model or insight is ready to be shipped, you will partner with  members of the Engineering team, to simplify, architect and implement an infrastructure for continuous deployment.

What You'll Do:

• Research and develop statistical modeling  for data analysis.
• Collaborate with team members to drive understanding of product needs and devise possible solutions.
• Discuss results and ideas with key partners.
• Implement new statistical, or other mathematical methodologies, as needed for specific models or analysis.
• Work with Engineering team members on deploying insights and models and continuous model training and deployment.
• Keep up-to-date with newest developments in data science and machine learning.

What We're Looking For:

• You have have experience in designing and building machine learning models for production.
• You have a background in data science and statistical analysis.
• You have experience with natural language processing
• You have an ability and interest in learning new technologies quickly.
• You can work with shifting requirements and collaborate with internal and external stakeholders.
• You have a passion for machine learning and an aptitude to work in a collaborative environment, can demonstrate empathy and strong advocacy for our users, while balancing the vision and constraints of engineering.
• You communicate clearly, efficiently, and thoughtfully. We’re a highly-distributed team, so written communication is crucial.

Technologies We Use:

• You should have non-trivial experience with at least a few of these, but we’re open to teaching folks that have the desire and ability to learn the rest.
• Python
• Pandas
• Scikit Learn
• NLTK, Gensim
• Tensorflow
• Jupyter