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Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc. Bachelor's Degree in a related field such as statistics, data science, applied mathematics, computer science, information systems, or other quantitative and computational discipline.
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Use state-of-the-art deep learning approaches (e.g. CNN, transformer, RNN/LSTM/GRU, GCN/GNN) to extract value from massive amounts of unstructured data (text, images). computer engineering, electronic, photonics, processor, python, robotics, software engineer.
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3+ years of experience as a data engineer developing or maintaining integration with software such as Airflow or any Python-based data pipeline codebase. Technologies we use: Ruby on Rails, Redshift, Athena, Postgres, SQL, Python, Apache Airflow, Appflow, S3, SNS, SQS, Kafka, Docker, Kubernetes, AWS infrastructure, Lambda, Serverless, Tableau, Bugsnag, Datadog, GitLabCI.
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Bachelor's degree in computer science, data engineering, relevant technical field or equivalent practical experience. As a data engineer on Kustomer's Engineering team, you will be responsible for growing our business by leveraging advanced data-engineering techniques to enhance our data architecture and streamline data-ingestion processes.
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Additional skills in epidemiology, LLM's, RWE, causal inference, recommenders, NLP, data engineering, MLOps or DevOps will be a plus. Fluency with Python, R, SQL, git, Linux and cloud infrastructure (AWS and Docker.
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Ability to independently wrangle data and perform data analysis in SAS/R/Python/SQL while managing multiple projects and meeting strict deadlines. Advanced degree required in preferred fields of Statistics, Biostatistics, Econometrics, Economics, Actuarial Science, or Data Science or equivalent work experience.
$109,100 - $181,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with setting up data pipelines with inline verification and validation using open-source libraries, preferably Python. Python, Airflow, Terraform, RDS, Databricks experience preferred.
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Análisis, diseño y desarrollo de modelos de datos corporativos (Data Lake / Data warehouse) en tecnología GCP (Bigquery / Dataflow/ Kubernetes / Composer)Requisitos:● Experiencia como líder técnico.
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The Bioinformatics Core Facility within the Division of Health Informatics in the Department of Pediatrics is seeking a full-time Bioinformatics Programmer/Analyst with a strong background in single cell next-generation sequencing data analysis.
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Knowledge of developing efficient frameworks for development and testing using (Sqoop/Nifi/Kafka/Spark/Streaming/ WebHDFS/Python) to enable seamless data ingestion processes on to the Hadoop platform.
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8+ years experience developing data frameworks (preferably using Python). Your first 30 days will focus on getting to know HackerOne. You will join your new squad and begin onboarding - learn our technology stack (Python, Airflow, Snowflake, DBT, Meltano, Fivetran, Looker, AWS), and meet our Hackeronies.
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Bachelor's or Master's degree in quantitative sciences (Biostatistics/Statistics, Health Economics, Public Health, Epidemiology, Data Science, Bioinformatics, or equivalent). Expertise in at least one statistical programming language (e.g. R, SQL, SAS, Python); R is preferred, but we welcome applicants who are willing to learn.
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React, TypeScript, Kotlin, Python, Django, JavaScript, SQL, testing tools (e.g. pytest), build tools (docker, Bazel, poetry) Experience sustainably engineering Javascript applications, ideally with React and Typescript AND Java or Python.
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Expertise in programming languages such as Python or Java, and experience in data processing frameworks (e.g., Apache Spark, Kafka) Advanced knowledge of SQL, database management systems (e.g., PostgreSQL, Redshift), and data warehousing solutions.
$110,000 - $140,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Bachelor's degree in a quantitative field (Data Science, Computer Science, Statistics or other related fields) is required. Familiarity with data visualization tools such as Tableau, Looker, Streamlit, Dash, or matplotlib.
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degree python data jobs Title: data analyst specialist in Pittsburgh, PA
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