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Optimize the parameters used by in-house heuristic
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Job Description

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  • Posted: Tue, May 08, 2012
  • Time Left: Closed
  • Location: Anywhere
  • Client prefers freelancers from:

    You are still able to submit a proposal for this job.

    The client prefers freelancers from
    a different location.

    You're still able to submit a proposal for this job, regardless of your location.
  • Start: Immediately
  • Hourly Rate: Not Sure
  • Hrs/wk: 40 | Duration: 1-3 months
  • Work View™ Payment Protection
  • U.S. freelancers must have W9
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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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Job ID: 30403733
Hourly Rate: Avg $ | High $ | Low $ — Show Pricing
  • Submit Date (Latest)

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