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The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Utilize Databricks for big data processing, analytics, and machine learning workflows. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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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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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.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with cloud-based machine learning platforms such as Amazon SageMaker or Apache Spark-based solutions like Databricks is advantageous. Proven expertise in building supervised learning models, with a focus on image analysis and biological data analysis, including proteomics and/or metabolomics.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. Aptitude and experience in applied statistical modeling and machine learning techniques.
$153,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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4+ years of professional experience as a data scientist in the SaaS industryMastery of SQLExperience with Python for statistical analysis and building machine learning modelsWorking knowledge of Unix command-line/shell and gitExperience deploying models in a production environment, ideally with DatabricksStrong presentation and written communication skills with the ability to build consensus with multi level cross-functional stakeholdersYou are.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Expertise in building Big Data Services using open source technologies like Elastic Search, Flink, Logstash, Kakfa, MongoDB, Hadoop, Spark, Trino/Presto, Hive, Airflow, Splunk. Machine Learning Engineer.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.
$240,000 - $300,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our work combines genomics, proteomics and state-of-the-art imaging technologies with software engineering, machine learning and data science. Pioneer novel methods for multi-modal data analysis (e.g. network analysis, machine learning) and develop new data visualization solutions.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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This means that we want to continuously improve our method of doing Data Science / Machine Learning, and our knowledge of trends and techniques relevant to our areas. Collaborate to translate business requirements and objectives into problems that can be solved with a combination of data, statistics, and machine learning.
ExpandApply NowActive JobUpdated 11 days ago
search data big machine learning jobs in San Francisco, CA
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