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  • Principal Data Scientist

     

    http://stackoverflow.com/jobs/124781/principal-data-scientist-concur-technologies-inc?med=clc&ref=small-sidebar-tag-themed-python

    Job Description

    Be a core part of the Data Platform team and help deliver the promise of a better and more interesting tomorrow today. Use data from over 25 million consumers to provide the customers with enhancements, feedback, and that “wow, that’s awesome!” moment that only big data can give as they build out their Perfect Trip.

    • In the first 12 months you will:
    • Implement algorithms and solutions to the burning business questions that have driven over 22 years of success in the travel and expense industry
    • Define and develop Auditing related solutions and blaze the trail by identifying new patterns
    • Enhance the technology behind Concur’s Big Data and advanced analytics strategy
    • Work closely with your peers on product and audit teams to integrate your offerings into our products and tech stacks
    • Grow the community of Data Scientists across Concur and facilitate information sharing and cross-pollination of ideas between analytical organizations

    In order to accomplish this you will need to have:

    • Solid grounding in applied mathematics and statistics, including some of the following or related techniques: Bayesian modeling, multivariate regression, logistic regression, support vector machines, neural networks, cluster analysis, decision trees, time series analysis and forecasting, factor analysis, structural equation modeling, item response theory, and Markov chains
    • Strong visualization skills using Tableau or similar platforms and toolkits
    • Results driven personality, high enthusiasm, energy, and confidence

    Skills & Requirements

    Concur is the leading provider of integrated travel and expense management solutions. Founded in 1993 on the premise of helping drive costs out of business through innovation, Concurs services are trusted by 20,000 clients around the globe with 25 million users.

    Your career at Concur is what you make of it. You can forge your own path, work in different offices, switch business units or solve a problem that no-one has before. We’re inspired by change and by each other which is a major contributing factor to how we have retained (and jealously guard) the innovative culture that has created a market leading team of 4500 colleagues.

    What do you need to bring?

    • BA or BS degree required (MS preferred) in Computer Science, Applied Mathematics, Statistics, or a related technical field plus significant working experience in the area of Deep Learning
    • 2+ years of industry experience in a quantitative analysis role
    • 5+ years of relevant industry / academia experience in software development and full product life-cycles
    • Deep experience with modeling using petabytes of data
    • History of multiple release cycles of consumer facing code delivered to the web, via cloud infrastructure and open source frameworks
    • Deep expertise with large-scale machine learning techniques and languages, such as R and Python
    • Familiarity with at least one scripting language e.g. Python, Perl, etc
    • Confidence building and working in Event Driven Architectures
    • Passion towards solving some of the toughest problems in computer science

    About Concur Technologies, Inc.

    Concur is a leading provider of integrated travel and expense management solutions. Concur’s easy-to-use cloud based and mobile solutions help companies and their employees control costs and save time. Concur® Connect is the platform that enables the entire travel and expense ecosystem of customers, suppliers and solution partners to access and extend Concur’s T&E cloud. Concur is trusted by thousands of companies in more than 100 countries and reaches millions of employees worldwide.

    We're proud of what we've accomplished so far, but now it is time to take it to the next level, and to do that we need you.

    apply now
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  • 原文地址:https://www.cnblogs.com/kungfupanda/p/5887400.html
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