26 to 50 of 83 Jupyter Jobs

Participate in the development of strategies and policies related to crime prevention and detection. Assist in preparing reports and presentations for senior management and other stakeholders. Position Requirements: Python (Jupyter Notebook) AI/ML models for NLP Entity Resolution Link Analysis Graph data science and Neo4j for fraud detection and AML Data visualization and modeling Clearance Required: Current Secret required More ❯

requirements: Bachelor's Degree Part time or full time: Full Time Flexibility option: High Co-Location (3-4 days on-site) Skills: Data Analytics Data Science Data Visualization GitLab Jupyter Notebooks Python and R Studio More ❯

IT experience (networks, hosting, desktops) and knowledge of IT architecture. Hands-on experience with Splunk and visualization tools such as Tableau. Experience with data analytics tools including Python, R, Jupyter Notebooks, Anaconda. Familiarity with configuration management databases (CMDBs) and associated schema. Desired Strong communication and problem-solving skills with the ability to brief senior decision-makers. Experience applying ITSM/ More ❯

Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index. Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity. Experience applying complex mathematical and statistical concepts. Experience applying statistical and operations research methods and tools. Experience employing spreadsheets for data manipulation and visualization. More ❯

Science development experience using Python • Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations. • Strong proficiency in numpy & pandas. • Demonstrated skills with Jupyter Notebook or comparable environments • Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking. Qualifications We Prefer: • Degree in Data Science, Machine Learning, Computer Science More ❯

Background in at least two areas: AI development, architecture, policy, engineering, ethics, or emerging tech. Collaborative with data scientists and AI stakeholders. Desired Skills: Proficient in Python, R, SQL, Jupyter, MLOps, and AI/ML cloud platforms (AWS, Azure, Google, Oracle). Experience designing, developing, optimizing, and deploying AI models and solutions. Salary Range USD $160,000.00 - USD $200,000.00 More ❯

have : Experience with Python Experience with JavaFX Experience with JavaScript Experience with Bash Experience with Perl Experience with XML Experience with Eclipse Experience with Visual Studio Code Experience with Jupyter Notebook Experience with OSGi Experience with Google Guice Experience with Unit testing Experience with JUnit Experience with Automated Testing Experience with Squish Experience with Jenkins Experience with Dev Ops Experience More ❯

experience in data science and statistical methods with real data problems. Advanced knowledge in Python or R coding. Significant exposure to data science and business intelligence tools (e.g., Anaconda, Jupyter NB, Databricks, R Studio). Proficiency with visualisation tools (e.g., Power BI, Tableau). Extensive knowledge of SQL and database management (e.g., SSMS, SSAS, SSRS, SSIS). Understanding of the More ❯

e.g. networks, hosting, desktops as well as experience with IT architecture. Experience using Splunk. Experience with visualization tools like Tableau. Experience with data analytics tools such as Python, R, Jupyter Networks, and Anaconda. Familiarity with configuration management databases and their associated schema. More ❯

working with Sponsor business or mission data, Sponsor applications, or Sponsor database structures. Demonstrated experience with the Sponsor's data handling procedures. Demonstrated experience with visualization tools, such as Jupyter, Visio, SharePoint, or Confluence. Demonstrated experience with APIs. Demonstrated experience using GitHub, or similar version control systems. Demonstrated experience using Python or R. Utilizing critical thinking and analytic judgements and More ❯

components and subsystems; understanding of computer architecture Data and Visualization tools: SharePoint, Elasticsearch, MariaDB, MongoDB, Tableau, Grafana, Tableau, Prometheus Experience with development and environment tools, e.g. Docker, Kubernetes, node.js, Jupyter Notebooks, Cypress, Visual Studio, Python, C/C++ Experience with application management tools, e.g. GitLab, Nexus, Trivy, SonarQube, Doxygen Familiarity with Project & Task Management tools, eg Jira or Confluence, and More ❯

have : Experience with Python Experience with JavaFX Experience with JavaScript Experience with Bash Experience with Perl Experience with XML Experience with Eclipse Experience with Visual Studio Code Experience with Jupyter Notebook Experience with OSGi Experience with Google Guice Experience with Unit testing Experience with JUnit Experience with Automated Testing Experience with Squish Experience with Jenkins Experience with Dev Ops Experience More ❯

have : Experience with Python Experience with JavaFX Experience with JavaScript Experience with Bash Experience with Perl Experience with XML Experience with Eclipse Experience with Visual Studio Code Experience with Jupyter Notebook Experience with OSGi Experience with Google Guice Experience with Unit testing Experience with JUnit Experience with Automated Testing Experience with Squish Experience with Jenkins Experience with Dev Ops Experience More ❯

Good skills with Python & Jupyter, as well as HTML to help maintain previous web page build. Evaluate and help enhance content analytics for machine translation systems using modern methods. Evaluate Natural Language Processing software to see which works best on customer datasets. Play an integral role in the development of an ML ops framework for cyber incident detection. This is More ❯

Python) Start-up/Scale-up Experience Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Experience in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI/CD tools (CircleCI), and data visualisation experience. This is a unique opportunity to join a visionary team redefining More ❯

working as a Data Scientist or Machine Learning Engineer in a commercial setting. Strong programming skills in Python, with hands-on experience using libraries such as Pandas, Scikit-Learn, Jupyter, and Matplotlib. Proficient in SQL for data extraction and transformation. Experience with Google Cloud Platform (GCP) and Vertex AI for developing and deploying ML services is highly desirable. Solid understanding More ❯

best practices . Apply modern software engineering standards including testing, version control, and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development More ❯

best practices . Apply modern software engineering standards including testing, version control, and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development More ❯

for automation. Hands-on experience with containerization & orchestration (Docker, Kubernetes, Terraform). Skilled in cloud platforms (AWS, GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner, etc.). Exposure to CI/CD pipelines (e.g., CircleCI). What More ❯

best practices . Apply modern software engineering standards including testing, version control, and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development 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 ❯

ensuring the stability and performance of the applications. Stay updated with the evolution, technological advancements with .NET Core, DevSecOps , Yaml scripting, and data science tools such as Data Bricks, Jupyter Notebook and building pipelines Ability to research, test, build, and coordinate integration per government requirements. Strong understanding of version control, Git, Branching and Agile methodologies Work with the government lead More ❯

Strong experience with Java, C++, and the Eclipse IDE Solid understanding of UI/UX design principles and implementation Experience integrating with tools and technologies such as RabbitMQ, Storybook, Jupyter Notebooks, Atlassian suite (Jira, Confluence), and Digital Agility Desired Skills: Experience supporting DoD or aerospace/defense programs Experience with the OpenSplice software Experience with Test-Driven development practices Background More ❯

and privacy principles to organizational requirements (relevant to confidentiality, integrity, availability, authentication, non-repudiation). Proficient with source control tools (Git) Proficient in Integrated Development Environments (Eclipse, Visual Studio, JupyterLab) Desired Skills Proficient with Agile tools Proficient with CI/CD pipelines Proficient with AWS CLI and services Proficient with the Microsoft Office suite Strong verbal and written communication skills 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 ❯