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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.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The CENTROID Data Science team develops intelligent solutions to make highly visible and big impact decisions in Network transformation at Walmart. Our team of industry-leading experts, consultants, and technologists combine exceptional strategic thinking with data science and advanced analytics to solve the world’s most complex supply chain challenges at Walmart’s scale.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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The director provides leadership for enterprise data security strategy, data architecture, and data operations and development. Bachelor's degree in IT, computer science, or related field preferred.
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Work closely with cross-functional teams including Data Science, Analytics, Product Development, and IT to ensure data engineering initiatives support broader business objectives.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) -Respiratory (COPD/Asthma) across the aligned geography.
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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 modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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To achieve its mission of improving people’s quality of life by acting responsibly towards society and the environment, the Group research, develops and markets innovative drugs in its three therapeutic areas: AIR (products and services that promote respiration, from new-born to adult populations), RARE (treatment for patients with rare and ultra-rare diseases) and CAR E (products and services that support special care and consumer-facing self-care.
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Collaborate with cross-functional teams, including data science, business intelligence, and infrastructure teams. We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Lead the design of enterprise-grade data platforms addressing needs across Data Engineering, Data Science, and Data Analysis, capitalizing on the capabilities of Azure Databricks.
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OR A Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement, or other fields related to the petroleum industry.
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Google Cloud Platform Data Engineer. Hands on Experience in Teradata, SQL, Google Cloud Platform big query Python data processing- scripting, Kafa. Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking an experienced and highly skilled Technical Lead in Machine Learning and Data Science to join our team. Your responsibilities will include leading the data science team, collaborating with stakeholders, and ensuring successful production deployment of machine learning models in the Azure cloud environment.
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data science jobs Title: data engineer Company: Accenture Contractor Jobs in Dallas, TX
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