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Title
Text copied to clipboard!Scientific Python Developer for Data Analysis and Behavioral Intervention in Social Networks
Description
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We are looking for a Scientific Python Developer for Data Analysis and Behavioral Intervention in Social Networks. In this role, you will develop and implement algorithms and models aimed at studying and influencing user behavior across various social platforms. Your responsibilities include collecting, processing, and analyzing large datasets, identifying patterns, and creating tools to impact user behavior to improve engagement and communication effectiveness. You will collaborate closely with researchers, marketers, and engineers to develop innovative data-driven solutions. A key part of the job involves applying machine learning methods, statistical analysis, and data visualization techniques. We expect the candidate to have deep knowledge of Python and experience with data analysis libraries such as pandas, NumPy, scikit-learn, as well as skills in working with social network APIs and data collection tools. Additionally, understanding the ethical aspects of behavioral intervention and maintaining privacy standards is essential. This position is ideal for those who want to apply scientific methods and programming to solve complex problems in social sciences and digital communications.
Responsibilities
Text copied to clipboard!- Develop and optimize data analysis algorithms for social networks
- Collect and process large volumes of data from various sources
- Create machine learning models to predict and influence user behavior
- Visualize and interpret analysis results for various stakeholders
- Collaborate with interdisciplinary teams to develop comprehensive solutions
- Ensure compliance with ethical standards and privacy regulations when handling data
- Document processes and research outcomes
- Maintain and update existing tools and models
Requirements
Text copied to clipboard!- At least 3 years of Python programming experience
- Knowledge of data analysis libraries (pandas, NumPy, scikit-learn)
- Experience working with social network APIs and data collection tools
- Understanding of machine learning and statistical analysis methods
- Ability to handle large datasets and data visualization
- Knowledge of ethical considerations in user data handling
- Bachelor’s degree in computer science, mathematics, statistics, or related fields
- Experience in research projects is a plus
Potential interview questions
Text copied to clipboard!- What experience do you have with data analysis in social networks?
- Which Python libraries do you use for machine learning?
- How do you ensure ethical handling of user data?
- Describe a project where you influenced user behavior through data analysis.
- What data visualization methods do you prefer?
- How do you work with social network APIs for data collection?
