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Work with global data exceeding 50 million HTTP requests per second, utilizing a tech stack that includes Go, Python, JavaScript, Rust, Lua, Kafka, Kubernetes, ClickHouse, PostgreSQL, and Jupyter notebook.
$137,000 - $198,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Eight (8) or more years of experience in the following: Java, JavaScript/Typescript, Python, Angular, ELK stack, Redis, Web Services (REST), Machine Learning, Data Analytics, Android development, NoSQL and SQL databases, Xmidas, Digital Signal Processing.
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Data Intelligence, LLC (DI) is searching for a full time Integration Engineer III to support its ASRC Mission Solutions effort in Moorestown, NJ. This is an on-site position. Experience in scripting in Bash, shell, Python, or Perl a plus.
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Communication, collaboration, unstructured problem solving and client management (in a high performing and high intensity team environment): Lead multiple client engagement teams to design and execute solution setup (right data science algorithm, data modelling setup, design success metrics/KPIs and stakeholder management) in sustainable and profitable manner; drive value and client impact; identify new use cases; proactive in approach.
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Our mission involves owning and innovating in Datadog-flavored GRPC libraries across supported languages (Python, Go, Java), Envoy service mesh sidecars, and authentication and authorization systems for service-to-service communication.
$187,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc. Experience with analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and/or others to perform analysis and interpret data.
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Research topics may include, but are not limited to the following:Geophysical signal processing, including detection, characterization, and associationMachine learning/artificial intelligence applications to geophysical problemsNumerical modeling from source to sensorData collection and response modeling for sensor improvementGeneral data analyticsSome positions may involve collecting data in a laboratory and/or fieldwork setting.
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Work Experience: Programming languages including Python and SQL; Data visualization, including Tableau; Statistical analysis; and Data manipulation, including data pre-processing and data cleaning.
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Experience working with columnar, analytical cloud data warehouse like BigQuery, Snowflake, Redshift. 5+ years of experience as a Software Engineer with excellent knowledge of programming languages, especially SQL, Scala, Kotlin and Python.
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Hands-on experience using data analytics and optimization tools (i.e., SQL, Python, R, Gourbi, Vertex AI). 4+ years of relevant experience in data science and/or a quantitative field, including 3+ years of applied or industry experience.
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A track record of managing the "exploration vs exploitation" tradeoff to deliver innovative solutions for first-of-a-kind problems Deep expertise in Python, data-centric AI (ML) techniques, particularly as applied to text, tables, documents.
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Experience leading end-to-end data science project implementation. Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Experience with predictive modeling in SAS, Python, R or other. Experience working in SQL, Alteryx or other data management and Business Intelligence tools. Bachelor's Degree preferably in Computer Science, Information Technology, Computer Engineering, Finance, Economics, Math or related IT discipline; or equivalent experience.
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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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Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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