CaDC Advising Statistician
The California Data Collaborative (“CaDC”) is seeking a part-time advising statistician to support analytical rigor in our projects. As the advising statistician working with the CaDC, you will be instrumental in deploying and improving open source analytics, reviewing research proposals and embedding statistical calculations into automated data pipelines. The CaDC is led by fourteen California agencies and works to ensure water reliability by leveraging water-use data from the 23 million people the agencies serve.
California’s worst drought in 600 years and an uncertain future threatened by climate change demands visionary approaches to ensuring millions of Californians have a reliable water supply. That’s where the CaDC project comes in. See here to see how CaDC analytics are supporting water managers in achieving reliability no matter what the future holds.
The project has been featured as a leading example by Harvard Business Review and the CaDC’s work has been featured in the Annals of Applied Statistics, Knowledge Discovery and Data Mining, Bloomberg Data for Good, the Journal of the American Water Works Association, and numerous media outlets including the Associated Press, KNX News Radio and Harpers Magazine.
The CaDC Advising Statistician is responsible for providing a third-party review and ensuring quality analytical outputs from the CaDC. This is a part-time position that will require great initiative and enthusiasm. The CaDC Advising Statistician will:
Serve as a resource for data scientists, engineers, analysts and researchers working with the CaDC;
Review key CaDC reports and analytics making statistical claims for rigor;
Advise on the development and implementation of statistical methods;
Present as needed at quarterly CaDC steering committee meetings;
The CaDC data team (the Argonauts) works out of the Los Angeles Cleantech Incubator located in the Arts District in Downtown LA. The appointment term is expected to last for a year with an option to continue for another year if mutually agreeable.
What we look for
You will have the chance to improve analytical tools that will help safeguard water reliability for millions of Californians. Working for a rapidly expanding startup nonprofit, your role may evolve as we do, but you don’t fear change; instead, you see opportunity. Strong communication skills are a must, as you will be required to work in a highly collaborative setting.
That’s a tall order, so drive and commitment to public service are key. In particular, we look for the following skills and attributes:
Demonstrated passion for and commitment to public service.
Domain knowledge of water resources and sustainability issues.
PhD in statistics or equivalent mathematically intensive background with a computational focus.
Demonstrated ability to write high quality academic publications with a track record of useful applied research.
Expertise in applied quantitative social science such as econometrics.
High energy and entrepreneurial personality who thrives in a self-directed environment.
Strong written and verbal interpersonal / communication skills.
Skills in data visualization and understanding of current civic data landscape a plus.
Interest in the civic technology and/or data for good movements
Knowledge of California water issues broadly and urban water use efficiency specifically is a plus.
Expertise in computing statistics using tools like Python, pandas, scikit-learn, NumPy, SciPy, R
To apply, please email email@example.com a link to your LinkedIn or attach a resume / CV and describe briefly in the body of the email your interest in California’s water future, your areas of statistical expertise and what public service means to you.
The CaDC Advising Statistician Appointment offers the opportunity to publish leading research with unique data. In addition, the position comes with a modest financial stipend and allowance for travel to relevant conferences to present the CaDC’s work.
We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.