[NLP] 律商联讯,上海外企, WLB,自有数据库搜索引擎服务 - V2EX
V2EX = way to explore
V2EX 是一个关于分享和探索的地方
现在注册
已注册用户请  登录
外包信息请发到 /go/outsourcing 节点。
不要把相同的信息发到不同的节点
matthewye0724
V2EX    酷工作

[NLP] 律商联讯,上海外企, WLB,自有数据库搜索引擎服务

  •  
  •   matthewye0724 2020 年 4 月 22 日 1918 次点击
    这是一个创建于 2089 天前的主题,其中的信息可能已经有所发展或是发生改变。
    官网:lexiscn.com
    介绍:
    https://mp.weixin.qq.com/s?__biz=MjM5NTkyNjM0Mw==&mid=2651242762&idx=2&sn=2a65cd3018779f98cbe911a5b5ea99ec&chksm=bd0379228a74f0349f75554ec980d403bf50e4a9e743bbdde474c16c4facaa1a12bb51b226c3&mpshare=1&scene=1&srcid=0422TG5zlt5GUL4Yxi1F4yvY&sharer_sharetime=1587527756299&sharer_shareid=43676ef3a54955f21433a504958f8c3d#rd

    律商联讯成立于:1818 年
    全球总部所在地:纽约
    母公司:励讯集团
    全球员工数量:超过 10,000 名
    全球业务:服务于全球 175 个国家的客户



    NLP
    JOB RESPONSIBILITIES

    Perform hands-on data analysis and modelling with huge data sets.
    Apply data mining, NLP, and machine learning/deep learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
    Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.
    Discover data sources, get access to them, import them, clean them up, and make them “model-ready”. You need to be willing and able to do your own ETL.
    Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat.
    Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.
    Explore new design or technology shifts to determine how they might connect with the customer benefits we wish to deliver.

    REQUIREMENTS
    BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.).
    2+ year’s experience with data science & NLP.
    Strong programming skills with Python.
    Efficient in SQL, Hive, or Spark SQL, etc.
    Comfortable in Linux environment
    Experience in data mining algorithms and statistical modelling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
    Familiar with latest development in NLP & deep learning
    Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.



    欢迎发送 简历 到 [email protected]
    目前尚无回复
    关于     帮助文档     自助推广系统     博客     API     FAQ     Solana     2623 人在线   最高记录 6679       Select Language
    创意工作者们的社区
    World is powered by solitude
    VERSION: 3.9.8.5 26ms UTC 02:51 PVG 10:51 LAX 18:51 JFK 21:51
    Do have faith in what you're doing.
    ubao msn snddm index pchome yahoo rakuten mypaper meadowduck bidyahoo youbao zxmzxm asda bnvcg cvbfg dfscv mmhjk xxddc yybgb zznbn ccubao uaitu acv GXCV ET GDG YH FG BCVB FJFH CBRE CBC GDG ET54 WRWR RWER WREW WRWER RWER SDG EW SF DSFSF fbbs ubao fhd dfg ewr dg df ewwr ewwr et ruyut utut dfg fgd gdfgt etg dfgt dfgd ert4 gd fgg wr 235 wer3 we vsdf sdf gdf ert xcv sdf rwer hfd dfg cvb rwf afb dfh jgh bmn lgh rty gfds cxv xcv xcs vdas fdf fgd cv sdf tert sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf sdf shasha9178 shasha9178 shasha9178 shasha9178 shasha9178 liflif2 liflif2 liflif2 liflif2 liflif2 liblib3 liblib3 liblib3 liblib3 liblib3 zhazha444 zhazha444 zhazha444 zhazha444 zhazha444 dende5 dende denden denden2 denden21 fenfen9 fenf619 fen619 fenfe9 fe619 sdf sdf sdf sdf sdf zhazh90 zhazh0 zhaa50 zha90 zh590 zho zhoz zhozh zhozho zhozho2 lislis lls95 lili95 lils5 liss9 sdf0ty987 sdft876 sdft9876 sdf09876 sd0t9876 sdf0ty98 sdf0976 sdf0ty986 sdf0ty96 sdf0t76 sdf0876 df0ty98 sf0t876 sd0ty76 sdy76 sdf76 sdf0t76 sdf0ty9 sdf0ty98 sdf0ty987 sdf0ty98 sdf6676 sdf876 sd876 sd876 sdf6 sdf6 sdf9876 sdf0t sdf06 sdf0ty9776 sdf0ty9776 sdf0ty76 sdf8876 sdf0t sd6 sdf06 s688876 sd688 sdf86