Senior Data Scientist
GDI · Remote
Life at GDI - Creating a world free of disinformation and its harms.
Disinformation has become a business. Today’s internet business models reward engagement above all else. These models monetise attention without considering the quality of the content garnering that attention, or the harm that may result. There is a robust and growing community of industry, policy, and civil society advocates pressing for reform of this ecosystem, they all need data to inform their actions.
The Global Disinformation Index was born out of this need for data, specifically the need for transparent, independent neutral disinformation risk ratings across the open web. Thus, GDI was established in 2018 as a not-for-profit entity built on the three pillars of neutrality, independence and transparency.
At GDI, you’ll be surrounded by people who want to improve everything and support everyone around them. Our team are passionate about our mission, experts in their fields and are collaborative problem solvers.
We continually strive to model the following behaviours in our interactions with others:
- Positivity: Problem solver, not problem raiser.
- Responsibility: Make it your problem - if it’s not right, fix it.
- Trustworthy: Make sure others can depend on you - If you say you are going to do it, do it.
- Respect: treat everyone, especially those with whom we disagree, with courtesy and respect.
About the role
GDI is seeking applicants for a Senior Data Scientist to join our technical team. We are looking for someone who is self-motivated, detail-oriented, can successfully navigate complexity and ambiguity, make informed decisions, knows when to reference documentation and when to ask for advice, and leaves things better than they found them.
In this role, you will be highly analytical and possess a strong mathematical background in machine learning and statistics, as well as a passion for countering disinformation and building ethical, unbiased solutions.
The key responsibilities of the role include:
- Work with data scientists, software engineers, intel analysts, and product managers to formulate, research, and implement machine learning solutions to detect and analyze online disinformation.
- Interpret and develop solutions to understand the complex online ecosystem by using a range of techniques, such as statistics, machine learning techniques, and other methods.
- Identify opportunities to add customer value and use the Python tech stack to build proof-of-concepts and prototype ideas.
- 4+ years of experience collaborating with teams of data scientists and software engineers.
- Well-rounded knowledge of statistics, machine learning, and experimental design.
- Experience with NLP and semantic models.
- Understanding data modelling and experience working with various data sources (APIs, CSVs, JSON).
- Proficiency with the Python machine learning stack and SQL.
- Ability to communicate challenging technical problems to a non-technical audience.
- Skills to operate effectively in a fast-paced, complex business.
- Passion for countering disinformation.
- Proficiency with Git, pull requests, and engineering code reviews.
- Familiarity with Docker, and Kubernetes.
- Experience building scalable software products, data pipelines, or deploying machine learning models.
- Experience with social network analysis, data visualisation, interpretability, and exploratory analysis.
- Professional fluency in languages other than English.
- Problem solver and doer; someone who just "steps up."
- Past experience working as part of a remote/virtual team.
Location: Remote – Based, and right to work, in the UK, Germany, or the USA (preferably in the following states: Texas, New York, Florida, or D.C.).
Reporting to: CTO / Lead Data Scientist
Hours: Working hours are flexible. Full-time (37.5 per week). As a global organization, some flexibility for cross-time zone communication to be available for limited virtual meetings outside of office hours is required.
Terms: Competitive salary based on location and expertise. (Since this role is remote and not restricted to the UK, we will run a benchmarking exercise for each candidate that reaches the second stage of our selection process)