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5+ years of experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision.
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A masters degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 7 years experience in data science or a similar role. The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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We are seeking a highly collaborative Principal Scientist- Data Science to join our Data Science team as a part of our new Regeneron Cell Medicine (RCM) group. At least a Ph. D. and 5+ years, MS and 8+ years, or BS and 10+ years of relevant experience in computational biology, bioinformatics, data science, computer science, software engineering, engineering, or a related field.
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Advanced coursework and/or research in Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields. 5+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies.
$124,000 - $182,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Basic Qualifications: Data Center Engineer (T02): Bachelor of Science Degree in a STEM (Science, Technology, Engineering or Math) related field with 2 or more years of engineering experience or MS with 0 years or more year of engineering experience or Ph. D. with 0 or more years of engineering experience Active in scope DoD Top Secret Clearance Ability to obtain and maintain initial Special Program Access (SAP/PAR.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
$120,000 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science. Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities.
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Demonstrated professional experience in advanced Data Science domains such as predictive modeling, Large Language Models, machine learning, text mining, and/or data engineering. Collaborate with Business Unit Stakeholders, Data Science practitioners, Enterprise Data & Analytics engineering, Enterprise Architecture, Modern Deployment, and AI Working Group to define appropriate platforms, technology and execution strategy for Cognitive AI/ML/NLP Use Cases and transition ideas from incubation into mainstream production deployment and adoption across NFCU.
$147,200 - $229,925 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. 2) Data Science/Machine learning track.
$75,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work Week: Standard (M-F equal number of hours per day) Posting Position Title: Research Specialist University Job Title: Data Scientist Preferred Education, Experience and Skills: Ph. D. in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields.
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Data Science/Machine learning track. Data science will have an introduction with PYTHON, further into numerical python, PANDAS DATA ANALYSIS, DATA VISUALISATION.
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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
$130 - $160Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI. The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data science jobs Company: Nationwide in WA, Canada
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