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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives.
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Deep knowledge in Machine Learning, Deep Learning, Data Mining, Information Retrieval, Statistics. Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Scientists, Machine Learning engineers for full-time positions with clients.
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Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics. You will be responsible for designing, developing, and maintaining scalable data pipelines, optimizing data flow, and enabling advanced analytics and machine learning initiatives.
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As a Director, Machine Learning Engineer you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
$163,300 - $244,900 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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In this role as Lead Data Scientist, your responsibilities will include developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.
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High systems aptitude and comfort with learning new technologies; experience in Google Suite and strong Excel skills required; SQL, BigQuery, and/or Tableau experience preferred. Minimum 3-5+ years experience working in the nonprofit sector and strong program management and/or financial and data management experience.
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Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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We are looking to hire a Senior Data Engineer into our technology team. You will design, develop and automatesecure, robust, and high-performing data platform solutions to driveCAISbusiness growth using Python, Kotlin, Snowflake, DBT and Kubernetes.
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We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. We operate through four global businesses: Infrastructure; Nuclear, Security & Environmental; Energy; and Mining & Metals.
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Job DescriptionGen AI Solution Architect/Delivery Lead -DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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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.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated Today
learning data mining jobs Title: engineer data analyst in New York, NY
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