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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
ExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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7+ years of experience as a data analyst, business intelligence analyst, market research analyst, financial analyst, statistician, or equivalent role. Bachelor’s degree in Data Science, Statistics, Computer Science, applied mathematics, machine learning, or a related data centric-technical field.
$108,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Responsibilities include: Work directly with Business domain experts and Data Scientists to understand business objectives and develop high quality, scalable, machine learning systems.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Leverage AI and machine learning technologies, such as TensorFlow, Vertex AI, and AutoML, to enhance data insights and drive business value. Hands-on experience with GCP data services, including BigQuery, Dataflow, Dataproc, Dataprep, Composer, Data Fusion, Data Studio, Cloud SQL, Cloud Functions and Cloud Storage.
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8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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Have a background in software engineering, DevOps, artificial intelligence and machine learning. The role will concentrate on machine learning research, production, deployment involving data, databases, displays, stack management, Kubernetes, large-scale infrastructure, and experiment management.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$181,800 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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If applicable)Years of experience: At least 10 years of experience in business intelligence, data integration, and AI/machine learning, with substantial experience in leadership and cross-functional strategic initiatives.
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Self-motivated and proactive, with a passion for learning and staying updated with the latest trends and advancements in the field of data engineering. Snowflake or Databricks certifications and/or hands-on-keyboard experience.
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Scientific background in life sciences or engineering and demonstrated expertise in one or more of the following areas: data analytics, data visualization, statistics, machine learning, predictive modeling, decision analysis under uncertainty, artificial intelligence, Python and/or R, app development, and Tableau dashboard development.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
$122,800 - $193,300 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Further support includes migration of MDA capabilities to the cloud, and the application of artificial intelligence/machine learning (AI/ML) tools to existing MDA data sets.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today
hands on machine learning data engineering business intelligence jobs Company: Meta in United-states, District Of Columbia
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