1 to 25 of 83 Jupyter Jobs

that serve real users at scale without incurring technical debt. Proficiency in statistical methods and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model More ❯

experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker, Kedro and MLflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud platforms (AWS More ❯

Proficiency in programming languages such as Python or R. Strong understanding of machine learning algorithms, statistical methods, and data visualization techniques. Experience with data analysis tools and frameworks (e.g., Jupyter, Pandas, Scikit-learn, Power BI, Tableau, Palantir). • Experience with cloud-based AI/ML platforms and tools (e.g., AWS, Azure, Google Cloud). Experience with leveraging Large Language Models More ❯

with 10 years, bachelor's with 8 years, master's with 6 years, or PhD with 4 years Proficiency in data science languages and tools (e.g., Python, R, SQL, Jupyter, Pandas, Scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and big data platforms (e.g., Spark, Hadoop) Strong background in statistics, data modeling, and algorithm development Ability to explain More ❯

Must be willing to achieve required skill certification promptly. Prefer current DoD IAT II or higher certification. Willingness to do a programming challenge during the interview process. Experience with Jupyter Notebooks, Python Data Science Libraries. Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models. Place of Performance More ❯

deliver quality models on a regular, aggressive clip. You will have the opportunity to choose W2 (with or without benefits) or 1099 employment options. Required: Demonstrated experience with Python, Jupyter demonstrated experience with Machine Learning, including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow Exposure to/understanding of network data analysis More ❯

to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business More ❯

to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business More ❯

to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business More ❯

to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business More ❯

to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business More ❯

to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work on live AI projects with real business More ❯

technologies Various machine learning libraries (i.e. Apache Spark, Scikit-learn, XGBoost, etc.) Data manipulation and pipeline libraries (i.e. Pandas, Polars, matplotlib, Plotly, numpy, scipy, etc.) Data science environments (e.g. Jupyter Notebook, Data Bricks, or Amazon Sage Maker) Experience implementing the data science process, developing experiments, reporting and explaining results Experience with Python and/or Java programming languages Experience designing More ❯

algorithm development; experienced in building robust, scalable solutions for operational deployment. Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and tools for model development and operationalization (Jupyter, MLflow, AWS SageMaker) in production environments. Experienced working in Linux-based and hybrid cloud/on-prem infrastructures, deploying and maintaining AI/ML solutions in secure, production-grade environments More ❯

e.g. Postgres, Oracle, SQLite, and/or Arc SDE o Web: e.g API's, GeoJson, REST Demonstrated experience with two or more cloud based technologies. o e.g. Docker containers, Jupyter Hub, Zeppelin, Apache-Spark, Centos, Jenkins, GIT Domain knowledge/IC: o Background in intelligence, defense, international relations, or public administration multi-disciplines. Demonstrated familiarity with the US Intelligence Community More ❯

language processing solutions. TECHNICAL SKILLS: AZURE IS A MUST HAVE Methodologies: Spiral, Agile, Waterfall, Lean. Programming Language: C++, Python, Shell, SQL, R. IDE Tools: PyCharm, RStudio, Visual Studio Code, Jupyter Notebook, Google Collab, Navicat. ML Frameworks: Transformers, Scikit-Learn, Keras, TensorFlow, PyTorch, ONNX, NLTK, OpenAI, langchain, llama-index,kore.ai. DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers More ❯

with Remote Desktop Protocol (RDP) technologies Experience with data access control, specifically Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) Familiarity with data science platforms (Anaconda, Jupyter, NiFi) Experience with Python, C#, or similar languages will be beneficial Knowledge of modern web development frameworks (Node.js, React, Angular) Experience developing and maintaining complex systems that involves integrating open More ❯

such as Git Experience using ElasticSearch and Kibana technologies Experience in ServiceNow Experience working with multiple stakeholders Experience documenting such artifacts as code, Python packages and methodologies Experience using Jupyter Notebooks Experience with machine learning techniques including natural language processing Experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats Experience developing tested, reusable More ❯

with Cloudera, Tableau, and scripting languages (Python, Bash, PowerShell) • Experience identifying and implementing cybersecurity use cases within data environments • Experience supporting government or defense-related programs (Preferred) • Experience with Jupyter, Apache NiFi, or Airflow for workflow automation (Preferred) Knowledge, Skills & Abilities: Knowledge: • Familiarity with STIGs, NIST frameworks, and federal cybersecurity compliance requirements • Strong understanding of data lake architecture, ETL pipelines More ❯

AI architecture, AI policy, AI engineering, AI ethics & laws, and emerging technology Experience collaborating with data scientists and other AI related stakeholders Desired Skills: Experience with Python, R, SQL, Jupyter, MLOps, AI/ML services (e.g., AWS SageMaker, Amazon Q, Azure ML Studio, CoPilot Studio, Google BigQuery, Oracle ML) leveraging cloud service provider(s) (e.g., AWS, Azure, Oracle, and Google More ❯

and Hive for big data processing Experience building job workflows with the Databricks platform Strong understanding of AWS products including S3, Redshift, RDS, EMR, AWS Glue, AWS Glue DataBrew, Jupyter Notebooks, Athena, QuickSight, EMR, and Amazon SNS Familiar with work to build processes that support data transformation, workload management, data structures, dependency and metadata Experienced in data governance process to 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. Dod Secret or higher preferred More ❯

taskings, or collection/processing workflows. Prior work with Sponsor data systems, applications, or database structures. Familiarity with Sponsor data handling procedures and clearance environments. Hands-on experience with Jupyter Notebooks, Visio, SharePoint, Confluence, or other visualization/documentation tools. Experience working with APIs, including integration and data extraction. Knowledge of version control systems such as GitHub. Proficiency in R More ❯

Job Description: We are seeking a Data Scientist proficient in Python and experienced in automating workflows, data manipulation, and visualization using Jupyter Notebooks. This role involves conducting database management and processing, extracting data, and ensuring that dataflow is correct and efficient. The Level 3 Data Scientist shall possess the following capabilities: Foundations: (Mathematical, Computational, Statistical). Data Processing: (Data management More ❯

and the intel cycle. Familiarity and experience with the Department of Homeland Security (DHS). Ability, openness, and eagerness to learn. Skills: Data Analytics Data Science Data Visualization GitLab Jupyter Notebooks Python and R Studio Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation and Benefits More ❯