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You will help our clients navigate the complex world of modern AI, data science and analytics. We'll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong working knowledge of databases, data modeling and modern cloud-based data architecturesStrong working knowledge of data and analytic tools and programing languages including but not limited to SQL, Python, Map Reduce, SAS, R, SageMaker, S3, Git etc.
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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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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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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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Job Title: Principal Data Scientist, Enterprise Advanced Data Science - FinanceJob Summary: Finance is of paramount importance to McKesson. The Principal Data Scientist will be part of a talented team of data scientists and collaborate with financial analysts and cross-functional data, analytics, and enablement teams to improve decision-making within our corporate and business unit-focused finance groups and the business.
$302,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Deep Learning techniques, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP.Experience using python and/or C/ C. Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs.
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Technical Oversight: Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs. Job Qualifications: Master's Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience.
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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.
$188,640 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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2+ years of experience, working in business or general data analytics, is necessary. The Revenue Analyst supports the agency’s stability, through both financial and statistical analysis of our diverse medical services, with a focus on our 340B Program.
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Tools: Azure PowerBI QLik Snowflake Anaplan Location : Dallas CTC : 120K - 170K Benefits About CloudHire: Our Client: As a data analytics and enterprise planning powerhouse, CloudHire Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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And motivated individual to fill the position of Health, Environmental, Safety, and Security (HES&S) Data Analyst within our OxyChem Corporate HES&S team based in Dallas, TX. The HES&S Data Analyst will support Corporate HES&S data management systems' design, implementation, and sustainment.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Proven experience (2-5 years) working as a Business Intelligence Analyst, Data Analyst, or similar role, preferably in HR analytics. Stay updated on industry trends and best practices in HR analytics and BI tools.
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Leadership experience on a project team Problem solving skills including root cause investigation, failure analysis, and DOE Experience using Siemens NX Experience working on cutting-edge autonomous robotic systems Proven background in thriving within fast-paced environments, particularly within startup or R&D settings Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes.
$202,966Full-timeExpandApply NowActive JobUpdated Today
data science analytics analyst python r jobs Company: Cvs Pharmacy in Irving, TX
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