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Data science, machine learning, optimization models, Master’s degree 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)Primary Location.
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Develop roadmap for data strategy for Quote to Cash leveraging processes and key tools (including BI, Data Engineering, Data Literacy, Data Governance, and Data Science.
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We are in search of talented individual who is interested in a career as a Python Data Engineer in HSAG's Data Science & Advanced Analytics division. Serve as the Python programming expert for the HSAG Data Science & Advanced Analytics division.
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ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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We are responsible for driving organic traffic that represents billions of dollars worth of goods and services bought on eBay. We are looking for an experienced Data Analyst to join the Buyer Taxonomy and Site Navigation team to assess the opportunity and measure the impact of projects related to changing the browse navigation experience on eBay. Your focus will be supporting various product launches to measure the impact on customer behavior and SEO (search engine optimization.
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role involves technical and thought leadership across the spectrum of data capabilities, from data vision and strategy all the way through data science.
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Understand and contribute to state-of-the-art methods in areas like query understanding, natural language processing and understanding (NLP/NLU), conversational recommendation, semantic retrieval, personalization, counterfactual experimentation, learning-to-rank, generative and explainable AI. Promote and role-model best practices of data science, engineering, and communication throughout the organization.
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Assist with GIS metadata creation, digital feature extraction, land survey records search, and ownership data research from various sources. Job Title: Assistant GIS SpecialistLocation: Akron, OHJob type and Duration: Contract to Hire year+ The Assistant Geographic Information Systems (GIS) Specialist will assist in developing, updating, analyzing, and managing GIS data for a wide variety of professional services.
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Sr. Scientist II - Masters, or PhD in computational biology, genetics, bioinformatics, computer science,engineering, (bio)statistics, mathematics, or related fields with a strong focus on data analysis with typically 8+ (MS), or 4+ (PhD) years of experience.
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Partner with cross functional teams such as data science, data engineering, product analysts, experimentation and instrumentation teams to contribute to advanced models (MMM, MTA), data pipelines and instrumentation, and build testing roadmap.
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MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science or related field. Building end-to-end production system including query understanding and ranking to power search Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing.
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SAIC’s National Intelligence Community (NIC) business unit, USG Mission and Information Technology division provides solutions and services supporting digital modernization programs in areas such as system engineering, multi-cloud computing, cyber security, data science and analytics, artificial intelligence/machine learning, quantum computing, application development, DevSecOps, cloud network operations and secure communications.
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GE Aerospace Engineering is looking for a Senior Deep Learning Engineer who is passionate about applying human-AI interactions, such as conversational AI, chatbots, search engines, simulation, pre-training for embodied agents, and embodied AI, bringing to bear foundational knowledge from areas such as deep learning, LLM, NLP, computer vision, reinforcement learning, computational statistics, and applied mathematics.
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Experience in advanced Python data science packages (pandas, networkx, scikit-learn, pyTorch or TensorFlow/Keras, matplotlib or plotly, etc.) Expertise in maintaining and deploying a notebook-based data science environment (JupyterHub.
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Agile, SaFE, AWS PaaS (EC2, ELM, Autoscaling, Lambda, API-Gateway, CloudFormation), Azure PaaS (App Service, Service Fabric, Functions, Logic Apps, SQLDB, DocumentDB, SQL Data Warehouse, Table Storage, Redis Cache, AzureAD, Notification Hubs, Event Hubs, IoT Hub, Stream Analytics, Machine Learning, Service Bus, Search, Cloud Services, Application Insights, CDN, Media Services.
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