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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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Senior Software Engineer with backend / distributed systems / large scale and database/data processing or data streaming centric background and coding skills in at least one of Go, Golang, Python, Java or C.
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Experience in data entry, data cleaning & management, and data quality assurance. The Data Analyst at Trial Library will play an integral part in expanding access to cancer clinical trials by supporting the development of a clinical trial matching tool and pioneering pre-screening efforts in community oncology settings.
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You have at least 3+ years of work experience as a data scientist in an analytics role. We are looking for a Product Data Scientist to drive understanding of how our business and its products are scaling and performing.
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The Vice President, Information Technology, will be responsible for the strategic direction and oversight of our IT infrastructure, security protocols, and data architecture. Element Science, Inc. is a medical device and digital health company focused on developing solutions at the intersection of clinical-grade wearables, machine learning algorithms, and lifesaving therapies in order to address leading causes of death and hospitalization in patients with heart disease, primarily as they transition from the hospital-to-home.
$500,000 a yearTemporaryExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Tech Stack Optimization: You’ll manage and optimize our tech stack, including Redshift, dbt, and BI tools, to keep our data accurate and accessible. Data Expertise: Strong skills in data modeling and ETL processes, particularly with DBT.
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Engage in the creation of experiments, prototyping, and architectural design, contributing to a diverse range of computer science domains such as machine learning, data mining, natural language processing, and performance analysis.
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The Senior AI/ML Data Scientist – Natural Language Processing (NLP) role involves helping to develop and deploy production-grade NLP products for unstructured and semi-structured data from across our company’s research and development pipeline.
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Williams-Sonoma, Inc. is looking for a Marketing BI (Business Intelligence) Analyst who is responsible for processing data, developing dashboards, and extracting actionable insights for the Digital Marketing teams.
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9+ years of experience in Data Security or related areas and expertise in two or more of the following: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter–Service Authentication, Secure Application Frameworks, Detection & Response.
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What You'll Do Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needs. Nice To Haves Experience with processing large amounts of data at petabyte level.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
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Our primary developer offering is an ultra-performant Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases/CDC.
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Familiar with data processing (e.g., Spark, Flink, Hive) and storage systems (e.g., S3, Redshift, Bigquery) at large scale. Master's degree in Statistics, Data Science, Quantitative Finance, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
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data processing jobs Title: data engineer Company: Element Science in San Francisco, CA
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