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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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As a Lead, 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.
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As a Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals. Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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As part of the NBCU DM&I team, this Sr. Analyst will be responsible for developing data framework and automating data transformation and dataflows across the data science platform.
$85,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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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.
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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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Knowledge of data engineering and data science concepts, including data modeling, ETL processes, and machine learning. As a Databricks Administrator, you will play a critical role in ensuring the reliability, scalability, and security of our Databricks platform, enabling our data engineers, data scientists, and analysts to leverage the full potential of Databricks for analytics and machine learning.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies. Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. Additionally, the Senior Director will help build and lead a new team within Audubon Technology, operating in close partnership with the other Data & Technology teams (Data Analytics, Data Engineering, and Enterprise GIS), Audubon Conservation (including the Science Division), the Chief Strategy Integration office, and other business teams across Audubon.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related field of study plus seven (7) years of related experience required.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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San Francisco, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer.
$321,500 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD or equivalent, with a focus on polymer chemistry, organic chemistry, molecular biochemistry, materials science, or a related discipline. This person holds extensive knowledge in biodegradable polymers, organic chemistry, and materials science of common and upcoming polymers for industrial and consumer applications, as well as in biomanufacturing polymers (e.g., cellulose, PHAs) for fiber fabrication with high biodegradability.
$83,000 - $225,000 a yearExpandApply NowActive JobUpdated Today
data science machine learning jobs Title: sr data scientist in New York
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