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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Data Pipeline Construction - Develop and maintain end-to-end data pipelines for streamlined data processing and analysis. We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team.
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Responsible for assisting the Lead Data Scientist and the data science team with building solution accelerators, pipeline development, and building integrations with our LLM Products on the Databricks platform.
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Master and help evolve the team's technical stack (centered on Python, cloud, ML/DL, Docker, Kubernetes); understand Walmart's product, data and pipeline systems. We are looking for an enthusiastic, creative Senior Data Scientist to join Investigative Risk and Operational Compliance Center (IROCC) team.
$90,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Working Knowledge of data pipeline and ETL tools (Apache Airflow, Databricks, Apache NiFi, Azure Data Factory, etc.) located at the Redstone Arsenal in Huntsville, AL. In your role as a Data Scientist, you will use statistical techniques to plan tests and analyze and interpret data.
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This position will primarily provide data programming services, data pipeline construction and maintenance, and data management tasks such as: retrieving, cleaning, transforming, restructuring, merging, storing, and documenting large administrative data sets from various differing sources using programming languages (SAS, SQL.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Works with Guidehouse, its partners, and the customer to build and maintain qualified, full-time staff and a pipeline of surge staff according to customer and mission priorities. Primary point of contact for data visualization dashboards and their management.
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You have/had hands-on experience with Python, Java or Scala and the ability to write reusable and efficient code to automate machine learning pipeline and data processes. 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.
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Proven experience as a machine learning engineering or similar role with a strong focus on machine learning deployment and data pipeline construction. Experience deploying machine learning models in production (e.g., CI/CD pipeline development; containerization using tools such as docker, podman, or Kubernetes; Git.
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However, as a Data Scientist on our team, you will have the opportunity to work across all aspects of the analytics pipeline, from evaluating candidate datasets for use, applying last-mile data engineering, developing ML, NLP, or econometric models, creating data visualizations, and deploying models to front-end systems in a repeatable automated manner.
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This person will work closely with colleagues from both the proteomics and the computational sciences teams to identify opportunities to apply data analytics and machine learning techniques to enhance Matchpoint's technology platform by contributing to both our chemoproteomics platform and our drug discovery pipeline.
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Additionally, the Data Scientist will work with machine learning engineers in Pison’s production inference pipeline development, deployment, and optimization. Job Summary: As a member of the Algorithms and Machine Learning team at Pison Technology, the Data Scientist will support machine learning research and development through data collection, signal processing, data mining/analysis, and model research.
$120,000 - $160,000 a yearExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience in Machine, and Deep Learning frameworks, model validation and deployment tools, data pipeline technologies, and visualization and data storytelling tools (R, Tableau, Jupyter, etc.
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Aureon Consulting has a great client in the Agriculture industry with an immediate need for an experienced Data Scientist. Familiarity with modeling biological, cellular, or ecological data; molecular biology or biochemistry concepts; or data science in agriculture.
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Build data science pipeline and platform capabilities for large-scale real-world evidence (RWE) studies and health economic analyses. Reporting to the Chief Analytics & Technology Officer, the Principal Data Scientist role will be responsible for building best-in-class Data science & AI capabilities to advance OneOmes product and program offerings.
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pipeline job Title: data scientist
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