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Data science, machine learning, optimization models, Master's degree 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.
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A Bachelor's or Masters in Psychology, Behavioral Science, Computer Science (with Human-Computer Interaction focus), Human Factors, Human Computer Interaction, Anthropology, Cognitive Science, Psychology, or Design related degree.
$139,000 - $258,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and are looking to make their careers in the Tech Industry.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Foster a culture of innovation, impact, collaboration and inclusion within your team and the broader Science and Machine Learning organization. SiriusXM is looking for a senior applied science leader to join our Science and Machine Learning.
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Collaborate with the engineering team on implementation and deployment of new algorithms and machine learning models to production. MS, or PhD in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, Physics, or a related field.
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Employees thrive at Langan, a firm that embraces and promotes diversity, equity and inclusion; prioritizes wellbeing, health and safety; encourages volunteerism and philanthropy; offers workplace flexibility, along with carbon neutral office spaces; and empowers individuals to contribute their skills and knowledge to make impactful contributions.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform.
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Bachelor's or Master's degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor's degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Frontier Communications is seeking a talented and experienced Machine Learning Engineer to join our network analytics team. Utilize Databricks and AWS platforms proficiently to design scalable and efficient machine-learning pipelines.
$53,000 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We optimize our clients' experience using unique proprietary technology coupled with robotic process automation, intuitive digital programs powered by machine learning, and enhanced by an extensive proprietary transaction data set.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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machine learning computer science engineering equity and inclusion jobs Title: engineering in Dallas, TX
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