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Expert in SQL, capable in Python, and experience with Business Intelligence tools such as Looker, Mode Analytics or Tableau. Lead Machine Learning Engineer. Working with dbt, Snowflake, Airflow, Python, Stitch, and git, and we welcome new ideas.
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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Computational Biology, BioInformatics, or equivalent experience. Brooklyn NY, San Francisco, CA, London, England 19-01-2024 HealthTech Elasticsearch SQL Python.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Partners with machine learning engineers, BI, and solutions architects to develop technical architectures forstrategic enterprise projects and initiatives.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review.
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As a Machine Learning Engineer at TRM Labs, you will collaborate with an experienced team of engineers, data scientists, and research scientists to build scalable systems to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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We are looking for a senior Machine Learning Engineer with deep expertise in attribution space (just like you!) Additionally, we are dedicated to crafting exceptional data infrastructure and innovative solutions in the realms of data science and machine learning.
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Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement. Experience with Gen AI, LLMs, Predictive Analytics and Machine learning landscape is a huge plus.
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TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution. Learning and Development resources.
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Experience in data mining and analysis tools such as Python/ SQL etc. Master large volumes of data; extract and manipulate large datasets using standard tools such as SQL and Python.
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Stay up-to-date with the latest advancements and trends in machine learning and data science and apply them to evolve the measurement system. Build from scratch a suite of data science and machine learning solutions that will make up the core of Square's next generation attribution system.
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The heart of insitro's strategy is the combination and application of machine learning to disease biology at scale, and novel analyses from clinical and cellular datasets that address key shortcomings in the target discovery and drug development process.
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A working knowledge of SQL, UNIX, VBA, R, Python, or similar tools, and/or Aladdin. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Technical Skills: Expertise in Python, R, SQL, cloud-based infrastructures (AWS, Google Cloud, Microsoft Azure), and BI tools (Power BI, Tableau, Qlik). Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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