We seek like-minded individuals with specific skills to support the work we do. Most KiwiSaver and investment funds profit from pollution and exploitation, with investments in sectors like weapons manufacturing, fossil fuel production, animal cruelty and human rights abuses. 83% of Kiwis don’t want their money in these damaging and unethical businesses and research shows that investors don’t need to sacrifice financial returns by investing ethically. Mindful Money is helping Kiwis get the information they need to switch for good. Good investment with good returns, good for people and good for our planet.
If there is not a specific role advertised that fits your skills, but you feel you have skills and time to offer, please get in touch: info@mindfulmoney.nz. We would love to hear from you.
Data Scientist Role
The Data Scientist is a key role within our small core team, dedicated to managing data analysis and data applications. This role will report directly into the Operations Manager.
It's a contract role, remote-friendly with flexible 10-20 hours/week guaranteed (with peaks in June and December), $70k annualised, plus the potential to become a full-time permanent role.
The location could be anywhere in New Zealand with WFH working from home.
Key responsibilities are two-fold:
Delivery of key data insights using our current team and processes:
- Lead the data analysis of KiwiSaver and investment fund portfolios to generate information for Mindful Money’s website and research
- Implement and refine data matching algorithms to consolidate information about companies from various data sources
- Run and maintain existing API scripts to source data for analysis
- Manage volunteers in their roles to assist with research, data analysis, and labelling tasks
Building new tools and processes to expand our impact:
- Lead the planning and development of Mindful Money’s digital systems
- Improve the accuracy and timeliness of data insights, with strengthened verification processes
- Document processes for maintainable systems
Skills and Experience
Our ideal candidate will have:
- Solid programming skills and a proven ability to deliver high quality, reusable code:
- Strong experience with Python and proficiency with data science libraries such as Pandas, NumPy, sci-kit-learn, and/or SciPy
- A solid command of SQL, including joins, subqueries, constraints, and filters
- Experience with NLP would be an added asset, in particular understanding of Jaccard and other types of similarities
- Experience with implementing quality and version control systems
- Demonstrated experience designing data solutions to meet business needs
- A desire to collaborate with others to find the best possible solutions
- A user-centric approach to data analysis with the bigger picture context in mind when coming up with solutions
- Pragmatism around finding workable solutions within constraints
- Strong attention to detail and accuracy
- Understanding of & ability to apply data ethics principles to real-world applications
- Able to work remotely and independently, being methodical and organised
- Experience with managing volunteers and freelancers is desirable
- Good written and verbal communications skills
- A commitment to making a positive change in the world
View the full job description and application process here