| Auckland Jobs |
| Canterbury Jobs |
| Northland Jobs |
| Otago Jobs |
| Southland Jobs |
| Tasman Jobs |
| Wellington Jobs |
| West Coast Jobs |
| Auckland Jobs |
| Canterbury Jobs |
| Northland Jobs |
| Otago Jobs |
| Southland Jobs |
| Tasman Jobs |
| Wellington Jobs |
| West Coast Jobs |
| Oil & Gas Jobs |
| Banking Jobs |
| Construction Jobs |
| Top Management Jobs |
| IT - Software Jobs |
| Medical Healthcare Jobs |
| Purchase / Logistics Jobs |
| Sales |
| Ajax Jobs |
| Designing Jobs |
| ASP .NET Jobs |
| Java Jobs |
| MySQL Jobs |
| Sap hr Jobs |
| Software Testing Jobs |
| Html Jobs |
| Job Location | Halifax, NS |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Full Time |
A special note from Mark Hobbs, CEO and Rachel Crosbie, VP Strategy and Operations: We encourage those of diverse backgrounds and/or underrepresented groups to apply to our jobs even if the qualifications are not an exact match. Fundmetric is a team willing to invest in your professional development. Fundmetric strives to create a diverse and inclusive team. There is an added emphasis on achieving this at Fundmetric because it is mission-critical to remove bias from our artificial intelligence and the products and services we offer. Please feel free to address any special circumstances in your covering letter or contact us, if the application process itself presents a barrier.Data Scientist at FundmetricFundmetric is a data generation ecosystem, designed to help nonprofits transform their fundraising. Our AI-powered platform uses machine learning to predict donor behavior and identify future leadership opportunities, driving more frequent and higher donations.We work with organizations across the nonprofit sector, focusing on educational institutions, hospitals & health providers and general non-profit. The iteration of our platform is driven by our clients.Objective: We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. This should include understanding of platforms such as Tensorflow and framework such as Pandas.Responsibilities· Selecting features, building and optimizing classifiers using machine learning techniques· Data mining using state-of-the-art methods· Extending company’s data with third party sources of information when needed· Enhancing data collection procedures to include information that is relevant for building analytic systems· Processing, cleansing, and verifying the integrity of data used for analysis· Doing ad-hoc analysis and presenting results in a clear manner· Creating automated anomaly detection systems and constant tracking of its performanceSkills and Qualifications· Doctorate in Computer Science preferred· Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.· Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etcTo Apply:C.V, References and a covering email may be sent to: Mark Hobbs, CEO via his assistant jwright@fundmetric.comJob Type: Full-timeSalary: $100,000.00-$150,000.00 per yearQuick Apply
For Job SeekersFor EmployersStay Connected