Data Engineer
September 7, 2017
Retail Modeling Scientist
September 7, 2017

Simulation Scientist

The Simulation Scientist develops and maintains simulation algorithms applied to econometric and parameter estimation problems. The candidate must be adept with MCMC methods and should be familiar with their application to marketing problems including hierarchical models. Experience with market basket modeling is a big plus. The candidate should also be able to apply other techniques to problems where simulation is not appropriate.

Science is a key differentiator at DecisionNext. The Scientist’s primary role is to develop algorithms in an area of core expertise. Scientists must also be able to develop and maintain computer code that expresses designs within real life product implementations. Candidates must be able to explain their work clearly to non-specialists including customers and colleagues, and they must excel in both written and spoken communication. Professional software development standards and methods are expected of all members of the team. Strong skills in Unix and Python are appreciated. Science team members typically have a PhD in Operations Research, Physics, Applied Math, Statistics, or a related field. New team members will usually have completed a postdoc or similar industry experience, but fresh PhDs or Masters plus several years of related industry experience may also be considered.

Desired Skills and Experience

  • MCMC, Bayesian inference, hierarchical models.
  • PhD in Operations Research, Physics, Applied Math, Statistics, or a related field.
  • Strong programming skills, particularly in Python on a Linux platform.
  • Strong communication skills.
  • Background in optimization, marketing science, or commodities helpful.

About DecisionNext

DecisionNext is a SaaS based analytics company helping customers across multiple industries make high-value decisions like maximize profits, minimize uncertainty and gain competitive edge. We optimize a company’s end-to-end performance by linking supply markets to demand markets using big data analytics. Our products influence purchasing, selling and operational decisions by analyzing, understanding and balancing key information flows and demand factors.

DecisionNext offers the ground floor opportunity and excitement of an early stage startup but with established contracts and development plans of a mature company. The founders have an extensive track record in the space of optimization and predictive analytics. We are looking for talented scientists and engineers to help us build next generation analytical software in a flexible and congenial startup atmosphere. DecisionNext is an equal opportunity employer based in San Francisco. Candidates must be local or able to relocate.

DecisionNext does not accept unsolicited resumes from recruiters or employment agencies. DecisionNext will not agree to payment of any referral compensation or recruiter fee without a signed service agreement. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, DecisionNext explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

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