Data Scientist
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Remote | London
Volunteer
3 Months | 15h /week
About Us
"At TiiQu, we're on a mission to revolutionize how individuals access knowledge about the environment. Our groundbreaking QuTii project aims to empower everyone with the truth and understanding they need to become eco-conscious change-makers. We are fueled by a commitment to sustainability, innovation, and preserving our planet for generations to come."
Who are we looking for
About the Role
Key Responsibilities:
- Data Cleansing: Cleanse and preprocess diverse datasets to ensure accuracy, consistency, and completeness. Identify and rectify errors, inconsistencies, and outliers in the data to enhance its quality.
- Data Validation: Develop and implement validation procedures to verify the integrity of the data. Collaborate with other team members to cross-verify information from various sources and resolve discrepancies.
- Quality Assurance: Implement quality assurance processes to maintain high data quality standards. Regularly monitor and audit the cleansed data to identify potential issues and take corrective actions.
- Collaboration: Work closely with other data scientists, researchers, and volunteers within QUTII. Collaborate on data-related projects, share insights, and contribute to the overall improvement of data quality and accuracy.
- Documentation: Document data cleansing processes, methodologies, and findings. Maintain clear and comprehensive records of changes made to the datasets and report progress to the project lead.
- Continuous Improvement: Stay updated with the latest techniques and tools in data cleansing and preprocessing. Continuously explore innovative approaches to enhance the efficiency and effectiveness of data cleansing processes.
- Adherence to Ethics: Ensure adherence to ethical guidelines and data privacy regulations while handling sensitive information. Uphold confidentiality and security standards when working with data.
Required Skills & Experience
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
- Strong proficiency in data cleansing techniques, data preprocessing, and data validation.
- Experience with data cleaning tools and software packages (e.g., OpenRefine, Trifacta, pandas in Python).
- Familiarity with programming languages such as Python, R, or SQL.
- Excellent attention to detail and analytical skills.
- Ability to work independently and collaboratively in a team environment.
- Passion for contributing to a non-profit initiative and making a positive impact on global knowledge dissemination.
Benefits and proof of work
Your efforts will not go unnoticed. You will receive a letter of recommendation and we'll be glad to offer references when needed.
Other benefits:
- Enjoy remote work and flexible hours for a balanced life.
- Leverage tasks by skills, boosting expertise and teamwork.
- Access career coaching for growth with TruthTech's mission. Gain valuable insights and mentorship for your career journey.