51 to 75 of 231 Matplotlib Jobs

Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering More ❯

Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering More ❯

Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering More ❯

Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering More ❯

Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering More ❯

Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering More ❯

Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering More ❯

clients.+ Strong proficiency in programming languages such as Python, R, and SQL.+ In-depth experience with data manipulation and visualization libraries (e.g., Pandas, NumPy, Matplotlib, etc.).+ Solid understanding of big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).+ Strong expertise in the full data More ❯

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, of Tableau en met big data technologieën (Hadoop, Spark of NoSQL databases) is een plus. Je bent vertrouwd met databases en query-talen zoals More ❯

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 More ❯

in building and maintaining efficient data pipelines to support data science initiatives. Data Visualization : Expertise in using visualization tools (e.g., Power BI, Tableau, or matplotlib) to present complex data insights. End-to-End Project Delivery : Proven experience taking a data science project from concept to deployment, including model evaluation and More ❯

in building and maintaining efficient data pipelines to support data science initiatives. Data Visualization : Expertise in using visualization tools (e.g., Power BI, Tableau, or matplotlib) to present complex data insights. End-to-End Project Delivery : Proven experience taking a data science project from concept to deployment, including model evaluation and More ❯

ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You More ❯

ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. A big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). More ❯

as PyCharm, VS Code, and Jupyter Notebooks. It includes expertise in data manipulation using tools like Pandas, NumPy, and Dask, and data visualization with Matplotlib, Seaborn, and Plotly. Scripting abilities in shell scripting, along with experience in managing databases like SQL, MongoDB, Cassandra, PostgreSQL, and MySQL, are also included. Additionally More ❯

and contribute within a team setting. Technical Experience: Proficient in Python for data analysis, including use of key libraries (e.g. Pandas, NumPy, Scikit-learn, Matplotlib). Good working knowledge of SQL for querying and transforming structured data. Basic understanding of common machine learning techniques and ability to implement them in More ❯

complex problems. Data Science Experience: - Extensive knowledge of data preprocessing, feature engineering, and model evaluation techniques. - Experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly). - Familiarity with statistical analysis and machine learning algorithms. Distributed Computing: - Experience in deploying and managing distributed machine learning workloads. - Knowledge of distributed More ❯

connecting and integrating data sets for accurate and comprehensive analysis Proficiency in using common data science Python packages (e.g. Pandas, NumPy, Scikit-learn and Matplotlib) for data manipulation, analysis, and visualisation Familiarity with advanced data science techniques, including machine learning (e.g., K-means), natural language processing (e.g., NLTK or spaCy More ❯

facing engagements emphasizing quantitative or computational finance. • Experience or familiarity with visualizing multi-dimensional financial data or events, using tools like Tableau, Plotly, ggplot2, matplotlib, seaborn, or D3.js. • Demonstrated ability to manipulate large financial datasets and time series data and perform calculations with at least one modern programming language like More ❯

preprocessing techniques, feature engineering, and model evaluation metrics. Proven ability to manipulate, query and visualise data and training/evaluation results (using e.g., Pandas, Matplotlib, Seaborn). Proven understanding of Information Extraction and Retrieval techniques. Proven understanding of NLP and large language models. Proven understanding of database concepts (differences between More ❯

large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Degree in cybersecurity. Experience leading teams of more than 10 people. Recent involvement in an AI/ML project or program. #J More ❯

in Python, Go, Java, or similar languages. Understanding of data science concepts, including data preparation, exploration, and modeling. Proficiency with tools like Jupyter, pandas, matplotlib, seaborn, numpy. Experience with API testing/security tools: Postman, Burp Suite, OWASP ZAP. Strong knowledge of database systems such as MySQL. Hands-on experience More ❯

skills in Python, Go, Java, or similar. Knowledge of data science processes, including data preparation, exploration, and modeling. Experience with tools like Jupyter, pandas, matplotlib, seaborn, numpy. Familiarity with API testing and security tools such as Postman, Burp Suite, OWASP ZAP. Strong understanding of database systems like MySQL. Hands-on More ❯

in API development, REST, gRPC. Programming skills in Python, Go, Java, or similar. Knowledge of data science concepts and tools such as Jupyter, pandas, matplotlib, seaborn, numpy. Experience with API testing and security tools like Postman, Burp Suite, OWASP ZAP. Knowledge of database systems such as MySQL. Experience with security More ❯

experience with REST, gRPC, etc. Programming skills in Python, Go, Java, or similar Knowledge of data science concepts and tools like Jupyter, pandas, numpy, matplotlib, seaborn Experience with API testing and security tools such as Postman, Burp Suite, OWASP ZAP Knowledge of database management systems like MySQL Experience with security More ❯