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Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Accounting, Finance, Management Information Systems, Management Information Systems & Accounting, Computer and Information Science, Computer and Information Science & Accounting, Mathematical Statistics, Statistics, Mathematics, Economics, Economics and Finance, Economics and Finance & Technology, Business Administration/Management, Engineering.
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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$126,000 - $216,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree in Data Science, Statistics, Computer Science, applied mathematics, machine learning, or a related data centric-technical field. Expertise in applying data analysis, data science, BI reporting and other analytics frameworks and techniques to influence business decisions.
$108,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Business intelligence, analytics, and machine learning technologies including SAS, R, Teradata, Hadoop, data science and visualization tools. Security concepts and technologies related to authentication (MFA, risk based authentication, biometrics, SAML, OAuth, OpenID Connect), authorization, encryption, data protection, threat prevention, and S-SDLC best practices including one-time-password (OTP), SSL, PKI, DDoS remediation, anti-malware detection, and application scanning.
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Bachelor’s degree in computer science, data analytics, mathematics, statistics, data science, or related field with applicable data engineering & architecture work experience.
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Require Bachelor of Science in Computer Science/Engineering, Computer Information Systems/Technology/Science, Database Engineering/Administration, Data Science/Analytics, or related fields and 5 years of experience in the job offered, software engineer/developer, technical lead/manager, systems/data engineer/analyst/developer, associate/consultant, or related field.
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Architecture governance such as IT Strategies, Technology and Application Roadmaps, Application Portfolio Management, Technology Standards Management, and API Governance. 6-10 years of relevant experience in Information Technology with 3+ years of experience as a Solution Architect.
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Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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The Technology Solutions Architect, VP (Architecture Lead Analyst) is a strategic professional who stays abreast of developments within its own field and contributes to directional strategy by considering their application in their own job and the business.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
$78,000 - $127,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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