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For Companies At a Glance
- Tasks: Analyse social media data to combat harmful content and misinformation.
- Company: Join a mission-driven team dedicated to making social media safer.
- Benefits: 28 days annual leave, mental health support, and a birthday bonus day off.
- Other info: Flexible working with opportunities for career growth and diversity in the team.
- Why this job: Make a real difference in the fight against online hate and misinformation.
- Qualifications: Experience in data analysis and strong technical skills in Python and machine learning.
The predicted salary is between 40000 - 50000 £ per year.
Location: Flexible, with the option of using our London office.
Key purpose: To carry out data gathering and analysis for a project team.
Contract: Full-time, permanent role.
The Role
We are looking for a Data Scientist who can apply and develop our techniques for analysing harmful content on social media platforms. If you have a talent for data-driven social media research and want to help stop the spread of hate and lies online, we want to hear from you. The successful candidate will join a small team of data experts contributing to our projects, playing an important role in research that will be quoted by governments, journalists and academics. You will work closely with other members of our talented research team and collaborate with other teams to ensure our research has an impact.
To do this job, you will need proven experience of producing original and insightful analysis of social media data. Detailed knowledge of the topics we study is not required, but you will need to show a deep understanding of how social media platforms work and previous experience of researching social media or AI harms is a plus. We know our work will be at its best if it is created by people with a range of backgrounds and experiences. We are keen to interview people who will add diversity to our team.
Job Responsibilities
- Carrying out advanced data collection and analysis to meet project team needs.
- Communicating with team members to understand project goals and data needs.
- Adapting data collection and analysis methodologies to meet new challenges:
- Collecting data from social media or AI platforms.
- Processing text, image, audio and video content.
- Analysing text and media using machine-learning techniques.
- Identifying content containing hate, misinformation or harms to children.
- Collaborating with other Data Team members to understand and apply methodologies.
- Clearly communicating research findings in writing, meetings and visualisations.
- Collaborating with the team on our quality control processes for datasets and reports.
Person Specification
- University degree in a relevant field (such as social or computer science) or experience in a relevant profession (such as data journalism or think tank research).
- Strong technical skills relevant to analysing and extracting social media data, such as:
- LLM-based text analysis.
- Traditional machine-learning for text analysis.
- Rule-based text analysis such as regular expressions (regex).
- Using APIs to collect data from social media platforms or third-party tools.
- Explaining techniques, analysis and limitations to a non-technical audience.
- Comparing strengths and weaknesses of available techniques for a given project.
- Using Microsoft Excel to summarise results in a clear and accessible format.
Compensation Package
- Location: London, UK, hybrid.
- 28 days annual leave plus bank holidays.
- Extra Birthday Bonus Day off.
- Christmas Period bonus days off.
- Mental Health support.
- Pension.
- Enhanced parental leave policies.
The person should have a right to live and work in the UK upon application.
Data Scientist employer: Center for Countering Digital Hate
Contact Detail:
Center for Countering Digital Hate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to social media. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, especially when it comes to analysing social media data and machine learning techniques.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who want to make a difference in the world of social media research.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with social media data analysis and any relevant technical skills. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for tackling harmful content online and explain why you’re the perfect fit for our team. Let us know what excites you about this role!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Mention your experience with Python, machine learning techniques, and any tools you've used for data collection. We love seeing candidates who can hit the ground running.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Center for Countering Digital Hate
✨Know Your Data
Before the interview, brush up on your data analysis skills, especially in relation to social media. Be ready to discuss specific techniques you've used, like LLM-based text analysis or machine learning methods. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Communication Skills
Since you'll need to explain complex data findings to non-technical audiences, practice articulating your past projects clearly. Use examples where you successfully communicated insights from your analysis, and be prepared to discuss how you adapt your communication style based on your audience.
✨Understand the Impact of Your Work
Research the organisation's mission and the importance of combating hate and misinformation online. Be ready to discuss how your work as a Data Scientist can contribute to this goal. Showing that you understand the broader implications of your role will set you apart.
✨Prepare for Technical Questions
Expect technical questions related to data extraction and analysis methodologies. Brush up on using APIs, Python libraries like pandas and NumPy, and any relevant tools. Being able to demonstrate your technical prowess will give you an edge in the interview.