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The team brings together a good mix of capabilities in intelligence technology, quantitative modeling, data science, financial engineering, and software engineering. Data Science and Machine Learning Frameworks Apache Spark / MLlib, TensorFlow, Scikit-learn, etc.
$100,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Data Science and Machine Learning experience. This role will be responsible for supporting the global AML Seller Risk Rating (ARR) methodology and Know Your Customer (KYC) data analytics.
$135,200 - $205,700 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data Scientist Intern - This individual will work with the Data Science Team in support of all levels of the Sales Planning & Analysis team to ensure accurate reporting standards, quality assurance of data, creation/upkeep of dataflows via SQL/Redshift/ETL in BI systems and working on initiatives for other data related business problems and initiatives.
$18.99 - $53 an hourFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
$75,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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A track record of managing a globally distributed, multi-discipline Data team, with experience overseeing Data Science, Data Engineering, and Machine Learning. As the Director of Data Engineering at SEON, you will be responsible for the ownership and optimization of the technology teams responsible for Data Engineering, Data Science, Business Intelligence, & our AI/ML technology stack.
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Graduate degree in computer Science or related field with five years of professional experience as an ETL Developer utilizing Informatica, IBM DataStage, SQL, PL/SQL, and Python. Develop ETL programs for complex dimensional data models within modern data platforms such as AWS Aurora Postgres, Snowflake, etc.
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Various disciplines are involved in Enterprise Data & Analytics, including data source identification and analysis, data engineering, data visualization, and data science/machine learning.
$65,000 - $87,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Lead, mentor, and develop a team of data scientists and machine learning engineers. Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
$159,200 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. Background in data science, mathematics, actuarial science, or engineering.
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Bachelor’s degree in computer science, Information Systems, Data Science, or a related field, and 3+ years of experience in BI development with a focus on Power BI within a large-scale organization.
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience.
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data science jobs Title: data science lead quantitative in Austin, TX
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