Senior, Data Scientist - Sunnyvale

Only for registered members Sunnyvale, United States

1 month ago

Default job background
$90,000 - $234,000 (USD)

Job summary

Data Scientist role requires knowledge of Data Quality Existing business systems and processes including key drivers and measures of success To support understanding business value relevance of data data enabled insights decisions appropriate application understanding data ecosystem including Data Management Data Quality Standards and Data Governance Accessibility Storage Scalability etc Understanding methods applications unlock monetary value data assets understand articulate apply principles defined strategy routine business problems involve single function Model Deployment Scaling Requires knowledge impact variables features model performance servers model formats store models Support efforts ensure analytical models techniques used deployed production Support evaluation analytical model scalability sustainability analytical models Code Development Testing Requires knowledge coding languages SQL Java C Python others Testing methods static dynamic software composition analysis manual penetration testing others Business domain understanding Write code develop required solution application features recommended programming language leveraging business technical requirements Test code recommended testing approach Model Assessment Validation Requires knowledge model fit testing tuning validation techniques eg Chi square ROC curve root mean square error Impact variables features model performance Identify model evaluation metrics Apply best practice techniques model testing tuning assess accuracy fit validity robustness multistage models ensembles


Data Visualization Requires knowledge visualization guidelines best practices complex data types Multiple visualization tools eg Python R libraries GGplot Matplotlib Ploty Tableau PowerBI Advanced visualization techniques tools story plots structures OABCDE Communication influencing technique Emotional intelligence Generate graphical representations data outcomes Understand customer requirements design appropriate representation multiple datasets Work User Experience designers Interface engineers build front end applications Present influence team business audience using appropriate frameworks conveys clear messages stakeholder understanding Customize communication style stakeholder guidance rational arguments Guide mentor junior associates story types structures techniques context
Understanding Business Context Knowledge Industry environmental factors Common business vernacular Business practices domains product finance marketing sales technology human resources indepth related practices Directly relevant business metrics areas Provide recommendations stakeholders solve complex issues Develop cases projects projected return investment savings Translate requirements projects activities tasks aligns overall strategy develops domain specific artifact Serve interpreter conduit connect needs tangible solutions results Identify recommend relevant insights area work Tech Problem Formulation Analytics big automation analytics methods Business understanding Precedence use cases Share examples demonstrate method would solve problem Analytical Modeling feature selection Exploratory methods advanced statistical modeling graphical Bayesian NLP Vision neural networks SVM Random Forest Multivariate calculus Statistical behind standard ML Basic classical optimization eg NewtonRapson Gradient descent Integer Programming Quadratic Programming Select suitable technique structured complex selects custom analytical conducts exploratory activities basic statistical hypothesis testing inferences available Define finalize based responses introduces new revised enhance analysis outcomes Dimensions experiment finalize design test hypotheses conduct experiment Perform trend cluster analysis answer practical problems provide recommendations insights Mentor guide junior associates basic modeling analytics solve complex problems Demonstrates expertise applies development execution improvement action plans expert advice guidance supports meeting customer needs building commitment perspectives rationales Provides implementation business solutions relationships partnerships stakeholders identifies necessary processes monitoring progress results recognizing capitalizing opportunities adapting competing demands organizational changes responsibilities Models compliance company policies procedures supports mission values ethics integrity incorporating Open Door Policy demonstrating assisting execute processes practices Respect Individual builds highperforming team seeks embraces differences people cultures ideas experiences creates workplace all feel seen supported connected culture belonging drive positive associate customer experience identifies retains best members Creates discipline focus developing talent feedback coaching mentoring developmental opportunities promotes environment everyone bring selves work empowers partners act customermember companys interest regularly recognizes contributions accomplishments Builds strong trusting relationships works collaboratively crossfunctionally achieve objectives communicates listens attentively motivate influence inspire commitment action Act Integrity Maintains promotes highest standards integrity ethics compliance models Walmart values leads example foster our culture supports goal becoming regenerative making impact associates customers world around us eliminating waste participating local giving Follows law code conduct company policies sets expectations encourages do same promotes environment associates comfortable sharing concerns reinforces nonretaliation listens takes action encourages holds accountable self others achieving consistent values Serves Customers Members Delivers expected results putting member first applying omnimerchant mindset acts Every Day Low Cost mindset drive value prices customers members Adopts holistic perspective considers analytics customer insights parts make plans shaping teams strategy Strives Excellence Consistently raises bar seeks improve demonstrates curiosity growth mindset asks thoughtful questions fosters learning innovation mistakes intelligent risktaking exhibits resilience setbacks Seeks implements continuous improvements encourages leverage digital tools ways working
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