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Title
Text copied to clipboard!Python Developer Data Scientist Social Media Sensing Behaviour Intervention
Description
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We are looking for a highly skilled Python Developer and Data Scientist to join our team, focusing on Social Media Sensing and Behaviour Intervention. The ideal candidate will have a strong background in data science, machine learning, and software development, with a particular emphasis on Python programming. You will be responsible for developing and implementing data-driven solutions to analyze and interpret social media behavior, with the goal of designing effective intervention strategies. This role requires a deep understanding of social media platforms, data analytics, and behavioral science. You will work closely with a multidisciplinary team of researchers, data analysts, and software engineers to create innovative tools and methodologies for social media sensing. Your work will contribute to understanding and influencing online behavior, helping to create safer and more positive online communities. The successful candidate will have excellent problem-solving skills, the ability to work independently and as part of a team, and a passion for leveraging technology to address complex social issues. You should be comfortable working in a fast-paced environment and be able to manage multiple projects simultaneously. Strong communication skills are essential, as you will need to present your findings and recommendations to both technical and non-technical stakeholders. If you are passionate about using data science to make a positive impact on society and have the technical skills to back it up, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Develop and implement data-driven solutions for social media behavior analysis.
- Design and build machine learning models to interpret social media data.
- Collaborate with researchers and analysts to develop intervention strategies.
- Analyze large datasets to identify patterns and trends in social media behavior.
- Create and maintain data pipelines for efficient data processing.
- Develop software tools for data collection and analysis.
- Present findings and recommendations to stakeholders.
- Stay up-to-date with the latest developments in data science and social media.
- Ensure data privacy and security in all projects.
- Document all processes and methodologies used in projects.
- Work with cross-functional teams to integrate data solutions into broader projects.
- Conduct A/B testing to evaluate the effectiveness of intervention strategies.
- Optimize algorithms for performance and scalability.
- Provide technical support and training to team members.
- Participate in code reviews and contribute to best practices.
Requirements
Text copied to clipboard!- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience as a Python Developer and Data Scientist.
- Strong knowledge of machine learning algorithms and techniques.
- Experience with social media data analysis.
- Proficiency in Python and related libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Strong problem-solving skills and attention to detail.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team.
- Experience with cloud platforms (e.g., AWS, Google Cloud) is a plus.
- Knowledge of data privacy and security best practices.
- Experience with version control systems (e.g., Git).
- Strong understanding of statistical analysis and hypothesis testing.
- Ability to manage multiple projects simultaneously.
- Passion for using technology to address social issues.
Potential interview questions
Text copied to clipboard!- Can you describe your experience with Python and data science?
- How have you used machine learning to analyze social media data?
- What tools and libraries do you prefer for data visualization?
- Can you provide an example of a successful intervention strategy you developed?
- How do you ensure data privacy and security in your projects?
- Describe a challenging problem you solved using data science.
- How do you stay current with the latest developments in data science?
- What experience do you have with big data technologies?
- How do you handle working on multiple projects at once?
- Can you describe a time when you had to present complex data to a non-technical audience?
