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Hands on Data Engineering Director / Analytics / Onsite in Los Angeles / Relocation package. Python, R, SQL, AWS, Tableau, PowerBI. Bonus on top of base salary / equity.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. 3+ years of hands-on experience as a quantitative developer developing financial models and software solutions.
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This is a hands-on development role where you will be 'embedded' within the quantitative research team and will partner with the investment teams on various projects including portfolio construction, risk management, and alpha research.
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Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts. 3+ years of hands-on experience in implementing data lake systems using AWS/Azure cloud technologies such as S3, Databricks, Hive.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Quantitative programming skill (e.g. Python, R, SAS/SQL, Stata, etc) Hands on experience and/or real world projects in Artificial Intelligence / Machine Learning algorithms is a strong plus.
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Experience manipulating data using scripting languages and/or data processing software (e.g. Python, R, Pipeline Pilot, ETL applications) - Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team's established processes and methodologies.
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Hands-on experience with data visualization and data manipulation using tools such as Cphython, Azure, SQL, Python, Tableau, Power BI. Ability to have a flexible schedule to work with our global audit team and international finance, functional, and it teams.
InternExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Familiarity with modeling software such as MATLAB/SimBiology, R, Python, or Berkeley Madonna is desired. Serve as a QTAS representative on project teams supporting the development of novel biologics; collaborate with project team members (e.g., clinical pharmacology, protein analytics, discovery, toxicology) and groups within QTAS to generate relevant data guiding target validation, biomarker selection, and candidate selection.
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Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources.
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Leverage a broad set of modern technologies - including Python, R, and Spark - to analyze and gain insights within large data sets. Advanced skill in Python and R. Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling better decisions on planned/future events.
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Minimum 3 years of hands-on experience implementing AI/ML solutions and platform tooling for Data Science. Minimum 3 to 7+ years of hands-on experience in some combination of the following technologies: Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primary Bash but PowerShell as well.
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Prefer experience in R/Python, Standard Data Packages, Jupyter Lab, Git, Visual Studio. Gathers BI requirements, design solutions and works with developers on their delivery.
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Proficiency in one or more programming languages (Spark, SQL, Python, R, C#) preferred. Hands-on experience in creating microservices architecture and cloud-native applications.
$85,000 - $194,000 a yearExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Hands-on experience in Agile design and implementation approaches. Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Programming/development experience with Microsoft Azure, Databricks, Python.
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This professional will be a trusted advisor to both clients and peers in MedInsight as we assist our clients in their migration from an on-premise to a cloud native version of our software. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management.
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python r hands on jobs Title: data scientist sr Company: Inc
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