51 to 75 of 90 Permanent NumPy Jobs

Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data structures More ❯

years of experience in data science, machine learning, or software development. Proficiency in programming languages such as Python, R, Java, or Scala. Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn). Strong understanding of machine learning frameworks (e.g., scikit-learn, TensorFlow). Hands-on experience with HPC environments, cloud computing, and containerization technologies. Familiarity More ❯

in Computer Science (or related field). 3+ years of experience writing production-grade Python code. 3+ years of hands-on experience with core Python data libraries (e.g., pandas, numpy, sklearn, tensorflow, pytorch, matplotlib). At least 1 year of experience deploying machine learning models in production environments. 1-2 years of experience working with SQL/NoSQL databases (e.g. More ❯

science, machine learning, or software development Bachelors Degree in related field Proficiency in programming languages such as Python, R, Java, or Scala. Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn). Strong understanding of machine learning frameworks (e.g., scikit-learn, TensorFlow). Hands-on experience with HPC environments, cloud computing, and containerization technologies. Familiarity More ❯

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 (IP traffic)using Bro/Zeek, TShark/PyShark, or other network analysis tools Desired: Demonstrated experience with one More ❯

Significant experience in data science or a quantitative academic field. Strong programming background; must be able to quickly become fluent in Python . Proficiency with key data science libraries (NumPy, Pandas, Scikit-Learn) and experience with deep learning frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/ More ❯

optimizations Write application specifications and documentation Articulate methodologies, experiments, and findings clearly in actionable way. Work in a fast-paced environment. REQUIRED QUALIFICATIONS: Candidates must have extreme fluency in numpy and pandas Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study. No experience in lieu of. 5+ years of Data Science development experience More ❯

integration layers. Qualifications A Bachelor's degree in Data Science, Computer Science, Statistics, or related field. Or, HS and 4 years of relevant experience. Demonstrated proficiency in Python (Pandas, NumPy), R, and SQL. Experience with visualization tools: Tableau, Power BI, Matplotlib, Seaborn. Solid understanding of statistical methods and hypothesis testing. Familiarity with AWS or other cloud platforms is a plus. More ❯

for individuals with excellent verbal and written communication and a strong troubleshooting and problem-solving skills. We are looking for knowledge and expertise of: Python data science packages: Pandas, numpy, scikit-learn, pytorch... Machine Learning techniques: Neural Networks, XGBoost, ... Pipelines and deployment technologies: Azure DevOps, docker, GitHub actions, ... A good understanding of architecture and design patterns Committed to More ❯

for individuals with excellent verbal and written communication and a strong troubleshooting and problem-solving skills. We are looking for knowledge and expertise of: Python data science packages: Pandas, numpy, scikit-learn, pytorch... Machine Learning techniques: Neural Networks, XGBoost, ... Pipelines and deployment technologies: Azure DevOps, docker, GitHub actions, ... A good understanding of architecture and design patterns Committed to More ❯

is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all More ❯

involving space domain data DoD 8570 IAT Level II certification (e.g., Security+ CE, CCNA-Security) Robust knowledge of orbital mechanics Experience with applying Python numerical and libraries such as NumPy, Pandas, Matplotlib, SciPy, etc. Excellent problem solving and critical thinking skills, with a track record of resolving complex orbital anomalies Familiarity with Linux-based OS, particularly Red Hat or Suse. More ❯

/ML methods: Generative AI/LLMs, NLP, RAG, and neural networks. At least 5 years of experience with one or more of the following technologies: Python, R, Anaconda, Numpy, TensorFlow, Keras, SciKit-Learn, and Postgres You have at least 5 years of experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally More ❯

of following AI/ML methods: Generative AI/LLMs, NLP, RAG, and neural networks. At least 8 years experience with at least two following technologies: Python, R, Anaconda, Numpy, TensorFlow, Keras, SciKit-Learn, and Postgres You have at least 8 years experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, able More ❯

is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all More ❯

related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit's, etc. Experience in standard software engineering practices including version control systems and software testing methodologies. Excellent oral and written communication skills. Analytical thinker, attentive to details, creative and More ❯

Occasionally the employee might be part of collaborations across different teams and must report to different project managers.Role Requirements Advanced programming with Python and related data science libraries (pandas, numpy, scipy, etc) at least 2 years, possibly at production level Data science skills: statistical analyses, machine learning techniques. Previous experience in statistical matching and segmentation techniques is a great bonus More ❯

Position requires Masters/equivalent in CS, CIS, Engineering or related field and 1 year of IT experience; including SpaCy, TensorFlow, Flask, PyTorch, NLTK, Matplotlib, Seaborn, Pandas, NumPy, Selenium, Scikit-learn, PyMongo, MySQL, Mongo DB, AWS Redshift, Neo4j, Tableau, AWS QuickSight, S3, SageMaker, Lambda, CloudWatch, Git, VSCode, Jira, Jenkins, and CI/CD. $121,867/yr. Position requires travel More ❯

Utilise SQL for data extraction, transformation, and analysis. Skills & Experience Proven experience working as a Pricing Analyst. Strong proficiency in SQL and Python (including data libraries such as pandas, NumPy, scikit-learn, etc.) Skilled in Power BI or equivalent visualisation platforms. Background in retail, ticketing, or loyalty environments preferred. Experience in clustering, segmentation, and data modelling. Location: Shepherd's Bush More ❯

background in advanced statistics and hands-on coding, this role is tailored for you. You'll lead high-impact survey analytics projects, working with large, complex datasets using Python (NumPy, pandas, scikit-learn, etc.), statistical modeling, and advanced visualization techniques. Your insights will influence strategic direction in a fast-paced cleared environment. This role is 100% on-site in Chantilly More ❯

data analysis and reporting, 1+ years of experience performing data analysis in the solar industry strongly preferred Advanced skills with the Python programming language and specifically the pandas and numpy data analysis packages, 1+ years experience required, 3+ years preferred Knowledge of residential solar system equipment and operation preferred Strong analytical skills with the ability to exercise independent research Must More ❯

design and implementation Proficiency in C and/or C++ programming, with experience of Linux environments Exposure to Rust or Go (beneficial) Knowledge of modelling tools (e.g. Mathworks, MATLAB, NumPy) Understanding of VoIP and network protocols Eligible for BPPS (Basic security clearance) Why this role? Work on essential systems trusted by civilian and defence aviation worldwide Be part of a More ❯

design and implementation Proficiency in C and/or C++ programming, with experience of Linux environments Exposure to Rust or Go (beneficial) Knowledge of modelling tools (e.g. Mathworks, MATLAB, NumPy) Understanding of VoIP and network protocols Eligible for BPPS (Basic security clearance) Why this role? Work on essential systems trusted by civilian and defence aviation worldwide Be part of a More ❯

ideas with the wider team, learn from and contribute to the body of knowledge. Key Skills Experience using Python and SQL. Strong proficiency with data manipulation including packages like NumPy, Pandas. Knowledge of machine learning techniques and their respective pros and cons. Confident communicator and contributes effectively within a team environment. Self driven and willing to lead on projects/ More ❯

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. CA Pay Transparency More ❯