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Growth Potential: Developing a strong foundation in data analytics paves the way for career growth into advanced roles such as data scientist, machine learning engineer, or data engineer.
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Utilize: Python, PySpark, Statistical Analysis System (SAS), Machine Learning (scikitlearn, SHAP, MLlib), Deep Learning (TensorFlow), MapReduce, Hadoop, Hive, GitHub, Jira. Required: Master’s degree or equivalent in Computer Science, Engineering, Information Technology, Mathematics, Statistics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Scientist or related.
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Career Advancement: Gain a competitive edge in the job market and unlock new career opportunities in data analysis, data science, business intelligence, and related fields with Google certification.
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Take ownership of and demonstrate genuine commitment to fostering the professional growth and development of two individual contributor Data Scientist reports. Optomi, in partnership with a reputable Technology & Pizza Company, is seeking a Data Science Manager who will come in as a technical expert to lead ML initiatives to drive meaningful business results via Personalization.
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As an applied machine learning scientist, you will use your expertise in modern computer vision methodology to improve world-leading Sartorius imaging products routinely used by major companies across the life science and biopharmaceutical industry.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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In this role you will have a good understanding and knowledge of cell biology/cell physiology, biochemistry and knowledge of statistics, data science and machine learning concepts.
RemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations.
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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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Data Scientist to join our Omaha, NE teamand begin an exciting and challenging career exploiting data science for environmental applications. 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 5 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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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.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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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 8 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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