226 to 250 of 304 Permanent NumPy Jobs

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. Candidates More ❯

Experience programming in Java, C++, Python or related language - 3+ years' experience with modeling languages and tools like PyTorch/TensorFlow, R, scikit-learn, numpy, scipy, etc - Solid ML background and familiar with standard NLU, NLG, and LLM techniques PREFERRED QUALIFICATIONS - PhD in Computer Sciences, Electrical Engineering, or Mathematics with More ❯

years Python work experience Any GUI development experience (Qt/PyQt would be ideal) Experience with Python data science libraries such as Pandas, Numpy, and Scipy XMIDAS familiarity C/C++ Code Management (Git would be ideal) Familiarity with the Atlassian tools (JIRA, Stash, Confluence, and Jenkins) and Gitlab Ability More ❯

Experience with neural deep learning methods and machine learning. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our More ❯

SW development (3-5 Python) Any GUI development experience (Qt/PyQt would be ideal) Experience with Python data science libraries such as Pandas, Numpy, and Scipy XMIDAS familiarity C/C++ Code Management (Git would be ideal) Familiarity with the Atlassian tools (JIRA, Stash, Confluence, and Jenkins) and Gitlab More ❯

field. 1-4 years of hands-on experience in an engineering laboratory. Experience in Python programming, particularly in data processing with libraries such as numpy and scipy. Spoken and written professional proficiency in English. Motivated, organized, detail-oriented, HANDS-ON and proactive. We also value (nice to have): Experience with More ❯

programming skills as evidenced by earlier work in data science or software engineering. 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 More ❯

and probabilistic models, clustering algorithms, classification models and time series techniques in a production environment. Proficiency with Python and all related Data Science libraries (numpy, pandas, matplotlib, etc.), and SQL with excellent analytical and algorithmic skills. A proven record for successful implementation of translating business requirements into a technical solution. More ❯

programming skills as evidenced by earlier work in data science or software engineering. 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 More ❯

programming skills as evidenced by earlier work in data science or software engineering. 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 More ❯

analyst in a dynamic, fast-paced environment; retail focus preferred. You have experience extracting data from databases using SQL and analysing data using Python (NumPy, Pandas, etc.). You have a bachelor degree in a quantitative subject. You are capable of acting as a trusted advisor when presenting data and More ❯

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 More ❯

or a related field. 10+ years of overall experience in AI, machine learning, and productionizing AI solutions. Expertise in Python and key libraries (e.g., NumPy, SciPy, Pydantic, Asyncio). Hands-on experience with open-source libraries (e.g. LangChain, Ray, PyTorch, Lightning). Hands-on experience with machine learning techniques, including More ❯

Experience leading a team, coordinating others, and managing several research projects simultaneously. Fluency in one or more data science programming languages (R, Python with NumPy/pandas, etc., Julia) with experience in writing documentation. Excellent written and verbal communication skills, particularly with wider stakeholders and across disciplines. Proven time management More ❯

in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as Accuracy, Recall, F1 scores and More ❯

in a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as Accuracy, Recall, F1 scores and More ❯

of experience in a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on More ❯

and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. - Experience using machine learning libraries, such as scikit-learn, NumPy, Pandas, MLlib - Strong data engineering skills and communication and Data & AIML presentation skills. PREFERRED QUALIFICATIONS - PhD or Masters degree in computer science, engineering, mathematics, operations More ❯

Proficient/intermediate level programming skills, preferably Python. Software collaboration experience using version control, preferably Git. Experience using foundational data science libraries e.g., Pandas, NumPy, scikit-learn or equivalent. Experience applying state-of -the-art machine learning to commercial problems. Experience using software development/deployment tools, platforms, and best More ❯

environments in AWS. • Experience with tools such as Elasticsearch, TensorFlow, Logstash, Kibana, Keras, SciKit-Learn, SAS, R/R Studio, Python/Anaconda, PyTest, NumPY Education Requirement • Shall have at a minimum, a bachelor's degree in computer science, Information Technology Management or Engineering. More ❯

solutions. Own the reliability, performance, and scalability of data infrastructure. Recruit and lead a growing team of data engineers. Tech Stack Python (3.10+), Pandas, NumPy PostgreSQL (TimescaleDB), SQL optimization RabbitMQ, ZeroMQ, Linux servers Prometheus, Grafana, Zabbix Requirements 5+ years of Data Engineering experience with expertise in Python and SQL. Proven More ❯

field required • 3-7 years of experience in data science, preferably within national security contexts • Proficiency in Python and core data science tools (e.g., NumPy, pandas, scikit-learn, PyTorch/TensorFlow) • Experience working in secure, classified environments • Ability to translate ambiguous operational needs into structured analytic tasks Preferred Experience • Familiarity More ❯

solutions. Own the reliability, performance, and scalability of data infrastructure. Recruit and lead a growing team of data engineers. Tech Stack Python (3.10+), Pandas, NumPy PostgreSQL (TimescaleDB), SQL optimization RabbitMQ, ZeroMQ, Linux servers Prometheus, Grafana, Zabbix Requirements 5+ years of Data Engineering experience with expertise in Python and SQL. Proven More ❯

Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong communication skills and the ability to translate complex More ❯

in IT, Science (zoals wiskunde of fysica), of bent burgerlijk of industrieel ingenieur. Je hebt kennis van R, Python (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy), Exploratory Data Analysis. Je hebt een affiniteit voor verschillende machine learning-algoritmen, zoals regressie, classificatie, clustering en deep learning. Een eerste ervaring met Matplotlib, Seaborn More ❯