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Alternative education and experience required: Bachelor's degree in Data Science, Machine Learning, Software Engineering, Statistics, Operations Research, or related field and 8 years of progressive, post-baccalaureate experience as Data Analyst or Scientist, Machine Learning Engineer, Statistician, Business Analyst, or related role.
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The ideal candidate is adept at using big data sets and applying machine learning and artificial intelligence techniques for analysis and prediction tools focused on environmental and meteorological applications.
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If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you. Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing, and preparing large databases for statistical analysis.
$75,000 - $130,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The role of Data Scientist will work on all aspects of the development cycle to help prototype, evaluate, deploy and maintain models that help enhance and differentiate Lytx as the leader in the Video Safety and Telematics industry.
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As a Senior Data Scientist at WBD, you will take a key role in developing and deploying suites of machine learning models to predict content performance on Max, in turn driving business decision-making for our streaming platform.
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Researching and identifying Artificial Intelligence (AI) methods – including Machine Learning (ML) and Natural Language Processing (NLP) methods. What You’ll Do: As a Data Scientist, you will be responsible for driving, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings.
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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 6 days ago - UpvoteDownvoteShare Job
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Extensive experience in data analysis and machine learning, using modern relevant data science libraries (preferably in Python) and deep learning frameworks for both structured and unstructured data (especially text.
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The Data Scientist will be responsible for leveraging data, advanced quantitative modeling, financial analysis and cloud-based machine learning technology to enable data-driven strategic decision making.
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We are currently looking for a Senior Data Scientist to drive our data science and analytics group forward! of machine/deep learning techniques and algorithms (XGBoost, random forests, logistic regression, SVM, KNN, k-means clustering, PCA, neural network, deep reinforcement learning, etc.
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High proficiency in statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques. Develop and evaluate statistics and cutting-edge machine learning algorithms & models to make data analysis more efficient.
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Or software programmingSpring boot, Microservices, Docker, Jenkins and REST API's experienceExcellent written and verbal communication skillsFor data Science/Machine learning Positions.
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M.S. or Ph. D. in Machine Learning, Operations Research, Optimization, Computer Science, or other quantitative fields or related work experience. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation.
$139,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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In this role, you'll join the Data Science and Platform (DSP) team at Chime, responsible for developing innovative machine learning (ML) solutions in the fintech industry. The ideal candidate should demonstrate proficiency in data analysis, machine learning, and software engineering, and also possess the ability to collaborate effectively with team members who have diverse skill sets.
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Algorithm Development (25%) Implement machine learning, statistical, data-mining, bioinformatics/clinical informatics algorithms. Design, setup and run computational experiments to evaluate and benchmark cutting-edge machine learning algorithms.
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