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The Data Scientist is responsible for analyzing and interpreting large and complex data sets, developing predictive/ machine learning models, NLP techniques and communicating insights to various stakeholders.
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Recommended coursework: cloud computing,compilers, database systems, distributed systems, functional PL, machine learning, networking. Experience working with big data (engineering / processing) and data migration.
InternExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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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A solid understanding of key trends including machine learning and artificial intelligence. Aligns data analytics technologies with CSI strategic initiatives. Champion enterprise-wide culture of fact-based decisions, data quality and accountability.
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Contribute to machine learning and artificial intelligence projects, applying data-driven decision-making processes. We are seeking a Full-Stack Engineer with a solid foundation in software development and an interest in machine learning and artificial intelligence.
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Our platform leverages AI and machine learning to transform the way businesses make data-driven decisions every day. AnswerRocket is on a mission to make data analysis easy.
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Youd contribute to groundbreaking projects leveraging advanced technologies like artificial intelligence, machine learning, and cloud-based architectures. This company combines expertise in video streaming, content management, and data analytics to empower businesses across various industries.
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Knowledge of current trends, practices and technology in the field e.g. Excel, SQL, SAS, Python, Tableau, systems analysis and design, programming and machine learning, and artificial intelligence.
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Own machine-learning model development cycle (identification and definition of business questions, data preparation and manipulation, model implementation and optimization, and deployment.
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Stay up-to-date with the latest advancements in data science, marketing analytics, Machine Learning & AI technologies and ecommerce industry best practices. Strong experience in data analysis, data mining, and statistical modeling techniques.
$110,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. Monitor and track sales data, ensuring data quality, consistency, and adherence to reporting standards.
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Leveraging your expertise in analytics, direct mail marketing, and data mining, you will be responsible for generating actionable insights, optimizing marketing campaigns, and maximizing customer engagement and conversion rates.
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Ability to analyze, synthesize and interpret student learning outcome data to improve teaching and learning. Demonstrate professional attitude, philosophy, compassion, and commitments that promotes student growth and learning.
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FEATURED BLOG POSTS
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