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Xcel Energy Services, Inc. Data Scientist Job in Denver, Colorado

Location(s): CO - Denver; MN - Minneapolis; TX - AmarilloDo you want to put your skills and experience to good use supporting one ofthe fastest-growing parts of the energy business? Are you interested inbeing a key part of the utility industry's new, competitive landscape?If you're interested in working for a trustworthy company that's committedto treating you with respect, training you well and ensuring your safety,consider a position on Xcel Energy's transmission team.Position SummaryResponsible for modeling complex business problems and discovering insightsthrough the use of statistical, algorithmic, mining and visualizationtechniques to enable optimization of the life-cycle process for TransmissionSystem Performance as part of the broader overall Transmission AssetManagement strategic plan. Communicates results clearly and concisely toprovide insight to multiple audiences; provides strategic direction tosenior management with understanding of immediate situational awarenessallowing long range asset planning with the use of data statistics, andvisualizations.Essential ResponsibilitiesData Wrangling/Exploration: Follow consistent practices to ensure dataintegrity and deal with imperfections in data. Champion the acquisition of newdata sources to enhance value and fill gaps; automate collectionprocesses; effectively process structured and semi-structured/unstructureddata; proficiently integrate varied datasets; collaborate with businessstakeholders as needed to ensure solid data understanding and proper datatransformation; work cross-functionally with development and engineeringteams; analyze large amounts of information to discover trends andpatterns; draw conclusions and gain actionable insights.Machine Learning: Build predictive models; propose solutions andstrategies for business problems; apply the appropriate machine learningalgorithm to data problems (e.g. supervised vs. unsupervised machinelearning, clustering, ensemble methods, etc.); validate modelresults. Work closely with architecture and engineering team to deploymodels; communicate results in a clear and non-technical manner.Communication and Relationship Building: Interact with senior management andeffectively communicate technical information to numerous audiences (e.g.senior management, client community, peers and juniorassociates);effectively develop relationships with individuals inside andoutside of IT; deliver difficult messages and express disagreement withothers with confidence and self-control; address challenges to analyticprocesses and influence others to change their approach and work collectivelyto implement new tools/techniques; gain support from related stakeholdersfor analytic solutions and champion data driven business decisions.Statistics: Apply appropriate statistical techniques to data exploration andmodel development/assessment; communicate complex statistical concepts tonon-technical audiences; maintain skills through continuing education.Data Visualization: Create meaningful data visualizations to communicateresults and highlight business impact; utilize various techniques anddelivery methods of visualization that are audience appropriate.Programming: Effectively collaborate with others to deliver efficient andhigh quality code; implement solid validation process to ensure consistencyand minimize errors; champion more efficient ways to produce codeiteratively; maintain skills through continuing education; stay up to dateon new technologies/ tools; seamlessly transition between languages toapply the right approach to the problem.Minimum RequirementsBachelor's degree in IT or math related field (e.g. Engineering, etc)and 7 years of experience in analytics OR Master's degree in IT or mathrelated field and 5 years of experience in analytics.Problem solving skills, business acumen, and demonstrated excellent oraland written communication skills.Expert SQL, Python skills.Distributed Computing experience.Excellent data visualization skills.Know

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