26 to 50 of 66 Jupyter Jobs

data analysis. Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R. Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib). Ability to talk the language of statistics, finance, and economics a plus. Profound knowledge of the English language. In a changing world, diversity and inclusion More ❯

include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series More ❯

The Desktop Build Group (DBG) works closely with Bloomberg clients to assist them to implement quantitative investment strategies and research using our new Python Quant development platform. Powered by JupyterLab, the quant platform combines world-class open source Python libraries with the world's leading financial database, allowing our clients to generate unique research in quantitative finance and help them More ❯

and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. Use machine learning and analytical techniques to create scalable solutions for business problems. Research and implement novel machine learning More ❯

Comfortable working with imperfect data, ambiguity, and evolving priorities. Bonus: experience with DBT, cloud data warehouses (e.g. BigQuery), or automated experimentation platforms. Technology Python (incl. pandas, statsmodels, scikit-learn), Jupyter dbt, SQL (BigQuery, PostgreSQL) Tableau or similar BI tools GitHub, GCP, Docker (optional but useful) How we expect you to work ️ Collaboration : We work in cross-functional, autonomous squads where More ❯

zones Contributions to open-source geospatial or AI projects Experience evaluating and improving retrieval-augmented generation (RAG) pipelines (quality assessment, guardrails, and iterative improvement) Familiarity with scientific computing UX (JupyterHub, Binder, etc.) Experience engaging with the broader open-source community through talks, blogs, or forums We collaborate in the open. Clear GitHub issues, thoughtful Slack conversations, and supportive code reviews More ❯

retrieval methods. • Knowledgeable in various synthetic data generation approaches, such as GANs, VAEs, or rule-based systems. • Experience writing unit tests for ML models and associated components. • Knowledgeable with Jupyter notebooks and Python development. • Experience cleaning and preparing structured datasets for training and analysis. • Experience creating basic features to enhance data utility for machine learning models. • Knowledgeable in using predefined More ❯

and other Qualtrics products Acquire data from customers (usually sftp or cloud storage APIs) Validate data with exceptional detail orientation (including audio data) Perform data transformations (using Python and Jupyter Notebooks) Load the data via APIs or pre-built Discover connectors Advise our Sales Engineers and customers as needed on the data, integrations, architecture, best practices, etc. Build new AWS More ❯

Experience using the Linux CLI, Bash/Python scripting ,creating Helm Charts for Kubernetes, developing services on Kubernetes and creating containerized applications/services using Docker Preferred Experience with Jupyter Notebooks, Gitlab CI/CD pipelines, updating containerized applications to address STE/STN requirements, developing with REST APIs and Atlassian tool suite (Bitbucket, Confluence, Jira) Willingness to learn new More ❯

on our data so you will need to understand how to develop your own models • Strong programming skills and experience working with Python, Scikit-Learn, SciPy, NumPy, Pandas and Jupyter Notebooks is desirable. Experience with object-oriented programming is beneficial • Publications at top conferences, such as NeurIPS, ICML or ICLR, is highly desirable Why should you apply? • Highly competitive compensation More ❯

and the Hadoop Ecosystem Edge technologies e.g. NGINX, HAProxy etc. Excellent knowledge of YAML or similar languages The following Technical Skills & Experience would be desirable for Data Devops Engineer: Jupyter Hub Awareness Minio or similar S3 storage technology Trino/Presto RabbitMQ or other common queue technology e.g. ActiveMQ NiFi Rego Familiarity with code development, shell-scripting in Python, Bash More ❯

develop analytic workflows to automate tasks such as profiling network traffic/activity and detecting/alerting based on network changes. Proficiency with Python, C++, and Spark. Experience with Jupyter Notebooks, JIRA, Confluence, and Git/Gitlab. Understanding of ASDF and TCLD. Knowledge of XKEYSCORE/ABYSS fingerprints. General understanding of SNORT signatures. Familiarity with SCADA/industrial systems and More ❯

Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem Excellent knowledge of YAML or similar languages The following Technical Skills & Experience would be desirable: Jupyter Hub Awareness RabbitMQ or other common queue technology e.g. ActiveMQ NiFi Rego Familiarity with code development, shell-scripting in Python, Bash etc. To apply for this DV Cleared DevOps Engineer More ❯

revolution. The Solutions Engineering Team works closely with Bloomberg clients to assist them to implement quantitative investment strategies and research using our new Python Quant development platform. Powered by JupyterLab, the quant platform combines world-class open source Python libraries with the world's leading financial database, allowing our clients to generate unique research in quantitative finance and help them More ❯

revolution. The Solutions Engineering Team works closely with Bloomberg clients to assist them to implement quantitative investment strategies and research using our new Python Quant development platform. Powered by JupyterLab, the quant platform combines world-class open source Python libraries with the world's leading financial database, allowing our clients to generate unique research in quantitative finance and help them More ❯

and experience in GA4, Google Search Console, Google Tag Manager, Looker Studio, Google Cloud Console (Big Query), Google Apps Scripts Strong working knowledge of HTML, basic JavaScript, Python and Jupyter Notebooks as they relate to technical SEO analysis Proficiency in SEO audit tools such as SEMrush, Ahrefs, Screaming Frog, DeepCrawl, or similar Proficiency gathering marketing insights for analysis and reporting More ❯

UX development Communicate clearly and manage blockers proactively Your Profile: 1+ year professional or internship engineering experience Solid foundation in software design patterns and data structures Familiar with Git, Jupyter, command line, and agile workflows Experience with: React.js Node Python CSS Typescript Unit Testing AI/ML: LangChain, PyTorch, TensorFlow (basic understanding) Bonus: Interest in ethical AI, UX design, and More ❯

enrich data from various sources. Ensure that pipelines are automated, scalable, and fault-tolerant to accommodate large volumes of data. Experience with Notebooks, Pipelines, and Workflows: Utilise Notebooks (e.g., Jupyter, Databricks) for data exploration, analysis, and reporting. Design and optimise data workflows to streamline key processing tasks, enhancing operational efficiency. API Integration & Data Ingestion: Integrate external and internal APIs to More ❯

MUST Have the ability to obtain and maintain a secret security clearance. Skills: -Knowledge of some or all of the following: Visual Studio (2003/2005, 2022, .NET), PYTHON, Jupyter Visual Basic, Java, XML, HTML, SQL, Oracle, Microsoft Power Platforms, Microsoft Power Aps SLIC Wave etc. -Knowledge of computer software, programming languages, database development and architecture. -Knowledge of Windows/ More ❯

certifications • Azure Synapse: Synapse-link, on-demand SQL engine, dedicated SQL pool • Writing unit tests, git Version control • Awareness of reliability patterns in ETL pipelines • Use of python in Jupyter notebooks for data processing • Azure storage technologies and cost/performance characteristics • Power BI, DAX, data flows • Techniques and tools for sanitizing data prior to use • Awareness of Kimball modelling More ❯

certifications Azure Synapse: Synapse-link, on-demand SQL engine, dedicated SQL pool Writing unit tests, git Version control Awareness of reliability patterns in ETL pipelines Use of python in Jupyter notebooks for data processing Azure storage technologies and cost/performance characteristics Power BI, DAX, data flows Techniques and tools for sanitizing data prior to use Awareness of Kimball modelling More ❯

written communication skills, with the ability to explain data findings to both technical and non-technical audiences. Experience delivering data driven insights to businesses. Familiarity with tools such as Jupyter Notebook and basic Python for data analysis. Some exposure to cloud platforms (e.g., AWS, GCP, or Azure) and interest in learning cloud-based data tools. Experience in using BI tools More ❯

are actively seeking a Data Scientist L3 to join our team working in Maryland. In this role, you will be automating workflows, data manipulation and visualization. Seeking Python and Jupyter Notebook experience. More ❯

technology across the business. Machine Learning Engineer, key skills: Significant experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and More ❯

Community (IC) analytic tools, such as: FADE MIST, bodhi, chatsurfer, Sentient, Clairvoyant, and Mission Presenter Experience with Data Science technologies, including: Python, SQL, R, JavaScript, HTML, XML, JSON, KML, Jupyter Notebook, Analyst Notebook, APIs Geospatial Tools experience: Geoserver, ArcGIS Feature Services, WMS, WFS Education: 10 to 12 years of experience with a BS/BA degree, or 8 to More ❯