A private data mining company is looking for people to develop data cleansing, indexing and predictive forecasting algorithms to support its business intelligence processes.
This job is basically being run as a test with the potential for much larger jobs with higher pay available to candidates that display a talent for processes and statistical models that can improve our data cleansing process, indexing, forecasting for user behavior and economic activity.
For instance, we have a set of data of first names, initials, last names, company names and addresses by city and country (different spelling by often the same if not different people [same initial and address but different spelling) and dates.
This is a two-step process, first, an email outlining your interest and qualifications for this type of work. Priority will be given to those who have SQL, mathematical, statistical or finance experience and creating software algorithms for data cleansing or modeling behaviors.
Second from the initial applicant group, we will pick qualified candidates and hire them for a USD $40 fixed price job. That payment will be made after a valid submission is presented.
Bonuses are available based on the quality of the work and could be multiples higher than the fixed price of the job.
Any submissions that have a high enough level of quality to potentially be included in the work we do would result in the potential for ongoing work under different terms.