Job?Summary??
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The?Data?Scientist?is?responsible?for?advanced?analytics?on?data,??usually?associated?with?data?mining?or?statistical?analysis.?This?often??involves?assembling?and?preparing??forecasting,??response?modeling,?fraud?detection,?segmentation,?and?CRM.?Industry?specific?methods?and?solutions?are??used?to?solve?industry?specific?tasks.
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Key?Responsibilities??
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？???Clarify??the?business?problem?for?the?purpose?of?data?analysis.
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？???Define??data?mining?application?requirements.
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？???Define,??build,?and?verify?analytical?models.
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？???Interpret??and?document?the?analytical?models?and?results.
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？???Support??clients?in?scoring?analytical?models?or?score?models?on?behalf?of?the?client.
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？???Deliver??a?workshop?or?a?presentation?to?clients?on?lessons?learned?from?the?analysis??and?model?development.
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？???Train?clients??on?any?techniques?required?for?their?future?use?of?analytical?models.
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Work?Environment?
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Flexible??to?work?in?office?or?customer?site?and??to?travel?across?East?China?when?required
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Basic?Qualifications??????
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？??Bachelors??Degree?or?above?in?Math,?Statistics,?Computer?Science,?Finance,?Business,??Finance,?etc.
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？??1-3???years?or?above??analytic?modeling??experience?including?at?least?2?years?continuous?experience?in?relevant?industries?or??business
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？??Should?have?a?strong?analytic??background,?typically?in?mathematics?and?the?application?of?statistics
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？??Have?ability?to?develop?both?descriptive?and?predictive?analyses??using?techniques?such?as?linear?regression,?logistic?regression,?decision?tress,??clustering,?and?others.
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？??Familiar?with?SQL?and?good??knowledge?of?analytical?toolsets?(SAS/Python/R/Spark,??etc).
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？??Knowledge??of?the?industry?associated?with?the?project.
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？???Can?work?independently?and?under?hard?pressure.
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？??Learn??fast?and?high?interest?of?pursuing?a?consulting?career
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？??Good?communication,?presentation??and?writing?skills
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Preferred??Qualifications?
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？???Familiar?with?Telcom?business?and??Telcom?application?
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？??Familiar?with?data?visualization?tools?such?as?Tabulae,?PowerBI,?etc
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？??Familiar??with?analytic?tools?(Scikit-Learn/XGBoost/LightGBM/TensorFlow/Keras/Pytorch/Spark??etc)
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？??Mastering?common??Machine?learning/Deep?learning?algorithms
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？???Management?experience?will?be?a?plus