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We need Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
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Familiarity with using hosted services on cloud is a plusRelevant certifications (e.g., Azure Data Scientist Associate, AWS Certified Data Analytics, Google Professional Data Engineer) can be an advantage.
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Altamira Technologies is seeking a Principal AI Scientist that possesses a mix of talent related to artificial intelligence / machine learning, data science, and traditional algorithms.
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Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field. Our team collaborates deeply with partners across analytics, data science, marketing, digital, business teams: our mission is to drive innovation by providing the business, marketing and data scientist partners best in class systems, data products, and tools to make decisions that drive business performance and patient experience.
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Data Scientist Principal , you will leverage technical expertise and industry experience to influence the application, scalability, and enablement of artificial intelligence/machine learning (AI/ML) at USAA. This role will identify novel opportunities for advanced analytics solutions, effectively communicate with business leaders, product teams, and other key stakeholders and guide end-to-end solution development, IT implementation, and business adoption.
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Relevant certifications (e.g., Azure Data Scientist Associate, AWS Certified Data Analytics, Google Professional Data Engineer) can be an advantage. Total years of required experience in Software industry to be: 10+ years Proven experience in data science, machine learning, and statistical analysis.
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You’ll mentor teammates to develop algorithms, write scripts, build predictive analytics, apply machine learning and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions.
$137,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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4+ years of industry experience as a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role. The Lead Data Scientist is responsible for driving efficiency, operational excellence, and enhancing both member and employee experiences within the contact center.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Minimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
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The Data Scientist should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques.
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4+ years of related work experience in the field of Data Science & Machine learning. You will play a pivotal role in the growth of our data science team and will be an instrumental resource as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to deliver insights to decision-makers.
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Experience using data visualization and reporting tools, such as Tableau, Power BI, Looker, etc. Experience in applying statistical and machine learning methods such as regression, classification, clustering, time series, natural language processing, deep learning, etc.
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Data Scientist Required. Experience using and deploying machine learning algorithms, including natural language processing (NLP) Experience with data visualization tools and best practices.
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