IT - Data Analytics Consultant - Senior
Omega Solutions
IT - Data Analytics Consultant - SeniorStart: 09-07-2020End: 03-02-2021Number of Openings: 2Client: Health Care CompanyPay Rate: $48/hr on w2 all inclusive USC and GC onlyJob DescriptionWhat is the specific title of the position? Senior Data ScientistWhat Project/Projects will the candidate be working on while on assignment?Field Team Modernization/Intelligent Decision Management - build and support of new predictive data modelsCoding Transformation - build and support of new/existing predictive data modelsAd hoc data analysisIs this person a sole contributor or part of a team? If so, please describe the team? (Name of team, size of team, etc.) Individual contributor within Decision Intelligence team.What are the top 5-10 responsibilities for this position? (Please be detailed as to what the candidate is expected to do or complete on a daily basis)Analytic data model developmentQuality check of output from other developersData exploration/researchDocumentation of logic and resultsPresentation of logic and results to team and stakeholdersWhat software tools/skills are needed to perform these daily responsibilities? See belowWhat skills/attributes are a must have?Programming: SQL, Python, Spark, HiveLibraries: Scikit-Learn, NumpyAnalytics: Regression, Classification, Clustering (Decision Trees, SVM, Linear Regression, Logistic Regression, KNN, KMeans)Visualization: MatplotSystems: UNIX, WindowsSoft: Integrity, strong verbal and written communication, teamwork, creativityExperience: 3-4 years related fieldWhat skills/attributes are nice to have?Analytics: Neural Networks, Graph Computation, Approximate Nearest Neighbors, Time Series, NLPVisualization: Tableau, Plotly, ExcelInfrastructure: Big Data, Cloud Computing, High Performance Computing (GPUs)Experience: 5+ years related fieldWhere is the work to be performed? (Please list preferred Health Care Company facility, if other please specify i.e. remote work, rural, etc.) CA152, when in-office resumes. Remote otherwise. Prefer someone locally however okay for full time remote.What are the work hours? (ex. 9am-5pm, day/night shifts, rotating shifts, etc) Normal business hours with occasional meetings before 8am.What type of interview process is preferred? (Face to face, phone, Skype, or a combination of the three) Phone and/or combination
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