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Pet Relocation uses an in-house heuristic to score the incoming leads. The algorithm is using historical data to determine the likelihood for a lead to turn into a customer.
The algorithm is already implemented but we are looking for someone who will optimize the relative weight of each parameter to improve the average quality of our scoring.
PetRelocation scoring consists of two values: score quality and a trust score (velocity).
The consultant will have to provide a set of values that will globally produce the highest delta between the quality score of historical won and lost opportunities.
More information will be shared with bidders after an NDA is properly executed.
Bidders should have experience with heuristics, NP complete problems and data mining, genetic algorithm, statistics, etc.
Experience with SQL type database is highly desired as well as scripting languages like PHP, Python or Ruby.
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