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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Advanced Analytics - Demonstrated proficiency in implementing advanced analytics solutions within Snowflake, including forecasting, predictive modeling and anomaly detection, leveraging Cortex AI.Machine Learning Utilization- Proven track record of utilizing machine learning models directly within Snowflake to derive actionable insights from large datasets.
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Technical Skills: Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) and data visualization tools (e.g., Tableau, Power BI.
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Applied Mathematics, Artificial Intelligence (AI), Aws (Amazon Web Services), Big Data, Building Construction, Cloud Computing, Computer Science, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Electrical Transformer, Machine Learning (Ml), Master Data Management, Professional Services, Python (Programming Language), R (Programming Language), Random Forest Algorithm, Statistical Analysis, Time Series Analysis.
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Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) and data visualization tools (e.g., Tableau, Power BI). As a Senior Data Scientist, you will lead data-driven projects, innovation on Data science and Machine learning capability build and collaborate with cross- functional teams to enhance our data capabilities.
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Develop the data analytics and AI/ML skills, capabilities, processes, and tools for Teva to apply advanced techniques to achieve its growth agenda, such as machine learning/artificial intelligence, generative AI, natural language processing, natural language generation, modeling and simulation, predictive analytics, etc.
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Stay current with industry trends, emerging technologies, and best practices in data science and machine learning. A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more.
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Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers.
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Research and implement novel machine and deep learning approaches for Drug Discovery multimodal data, including various "omics" (transcriptomics, proteomics, etc.) You will research, design, develop, and apply new AI/ML solutions for drug discovery and development, where you will lead the progress, validation, and interpretation of deep learning and GenAI-based pipelines for therapeutic modalities ranging from small molecules to biologics and nucleic acids.
$218,625 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Machine Learning: Develop, implement, and optimize machine learning models to support various business initiatives. Experienced in Identity and Access management, data protection, data privacy standards.
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Motivated to learn about machine learning, artificial intelligence, big data, and new technologies. BASF's Data Science Summer Internship is created to provide highly motivated, mobile-minded current university students an opportunity to enhance their professional skills through a variety of diverse learning experiences.
$2,340 a monthInternExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Advanced degree (Ph. D. or M.Sc.) in computer science, artificial intelligence, machine learning, bioinformatics, or a related field - Preferred. VP Data, Analytics, AI. + Collaborate with Cyber Security to establish best practices for data governance, security, and transparency to build trust and mitigate risks associated with AI-driven solutions.
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Research cutting-edge machine learning/deep learning/artificial intelligence techniques and tools. Guide business partners on optimally using AI / LLM / Machine Learning models. Understanding of machine-learning and operations research.
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Machine Learning: The data scientist is familiar with machine learning algorithms and techniques, understanding supervised and unsupervised learning, feature engineering, model evaluation, and optimization.
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To be successful, the ideal candidate will demonstrate a thirst for knowledge and a natural curiosity to enable rapid learning of the Zoetis business model and data & analytics infrastructure at a scale to support a growing business.
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learning job Title: data in Whippany, NJ
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