101 to 125 of 141 Permanent Matplotlib Jobs

understanding of the underlying physical principles related to battery technology, electric vehicles, EV charging, and the energy sector. Python experience (numpy, streamlit, scipy, pandas, matplotlib, plotly, poetry, GIT, scikit-learn and other scientific libraries) Excellent mathematical, analytical and problem-solving ability Excellent professional communication, reporting and presentation skills Excel proficiency More ❯

models, and their application to structured data. Familiarity with SQL and experience working with relational databases. Python/R programming experience (pandas, scikit-learn, matplotlib, etc) Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication skills to effectively collaborate with team members and More ❯

Data Science techniques such as Hypothesis Testing, Regression, Forecasting, Customer Segmentation or Churn Analysis; (5) Visualization tools such as Tableau, Power BI, SAP Lumira, Matplotlib, ggplot, Folium or Seaborn. Work from home permitted 1-2 days per week. Must work at employers office in Jersey City, NJ other days. More ❯

Analyst role. Python data-wrangling mastery. Excel power-user (Power Query, pivots; VBA a plus). Bonus: BI/viz chops (Power BI, Tableau, Matplotlib, Plotly). Clear communicator who makes complex data simple. 🌟 Impact & Growth Join a social, supportive squad of specialists who’ve each made a mark within More ❯

Random Forest, XGBoost), research areas (e.g., NLP, Transfer Learning), and Deep Learning (e.g., BERT, LSTM) Proficiency in SQL and Python (Jupyter, Pandas, Scikit-learn, Matplotlib) Knowledge of model evaluation, data preprocessing techniques, and statistical methods Core Values Customer Focus: Use data to improve customer experience Humanity: Act with respect and More ❯

statistical analysis concepts (e.g., standard deviation, percentile distribution, A/B testing, test vs. control group experimentation, statistical significance) Advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly) WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to More ❯

to maintaining and improving analytical processes and deliverables across the team. Fluent in English. NICE TO HAVES Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing More ❯

to maintaining and improving analytical processes and deliverables across the team. Fluent in English. NICE TO HAVES Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in behavioural analytics software (Google Analytics or similar) Experience in Python, R, or advanced statistical analysis (e.g., A/B testing More ❯

ownership of complex price and/or risk projects end-to-end, specifically within the gambling sector Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of More ❯

ownership of complex price and/or risk projects end-to-end, specifically within the gambling sector Familiarity with advanced data visualization techniques (e.g., Matplotlib, Seaborn, Plotly). Experience in Python, R, or advanced statistical analysis (e.g., A/B testing, predictive modeling, statistical significance). Proven track record of More ❯

PivotTables, formulas, charting, advanced data manipulation) Advanced SQL proficiency (joins, window functions, optimization) Strong hands-on Python abilities, especially with Pandas and data visualization (Matplotlib, Seaborn) Experience with BI or dashboarding tools (Power BI, Tableau, or similar) Critical thinking and strong data storytelling abilities Excellent communication and presentation skills Benefits More ❯

and extend existing Commodities trading and research infrastructure together with Researchers and Support Engineers. Requirements: Comfortable in Python, in particular numerical libraries - numpy, pandas, matplotlib, etc. Basic knowledge of AWS. Basic knowledge of databases (e.g. SQL). Development practices - version control with Git, unit testing, etc. A quantitative mindset. Team More ❯

to build predictive models and extract insights from large, complex datasets. Advanced proficiency in Python and SQL, including libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn. Skilled in developing and deploying credit risk models, including scorecard thresholds, limit optimisation, and loss reduction. Experience with Monte Carlo simulations or Bayesian More ❯

unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity with CI/… unit testing and tools – JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack – pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures Familiarity with CI/ More ❯

Experience in financial institutions, preferably in commodities Familiarity with quantitative finance and electronic trading concepts Experience developing dashboards and data visualization applications with Plotly, Matplotlib, Bokeh, Dash, etc. Experience with AWS technologies such as S3, Athena, SQS, Batch, Lambda Experience with DevOps practices using containerization and orchestration tools like Docker More ❯

Python is your main language Bachelor's degree in Computer Science or Engineering (or related field) Substantial experience with Python libraries: numpy, scipy, pandas, matplotlib, sklearn, etc. Passion for building clean, reliable and maintainable software Strong quantitative reasoning skills Highly skilled at multitasking and time management in a fast-paced More ❯

Python as your main language Bachelor’s degree in Computer Science, Engineering, or a related field Substantial experience with Python libraries: numpy, scipy, pandas, matplotlib, sklearn, etc. Passion for building clean, reliable, and maintainable software Strong quantitative reasoning skills Highly skilled at multitasking and time management in a fast-paced More ❯

we looking for? Degree in Computer Engineering, Physics, Electronics, Telecommunications or similar. Advanced programming skills in Python, including libraries such as NumPy, SciPy, pandas, Matplotlib, OpenCV, and PyVISA. Ability to develop Python programs that process data from a C++ API and handle real-time data transmission via sockets and export More ❯

CSS). Experience in insurance, financial services, or related industries. Experience with data visualisation tools (Power BI, Tableau, Flourish, D3.js, or Python libraries e.g., Matplotlib, Seaborn) Expertise in cartography and map design. Compensation and benefits On top of a competitive salary, great teams and exciting career opportunities, we also offer More ❯

level program clearance. Preferred Qualifications for for a Modeling & Simulation Software Engineer: • Proficiency in performing analysis with either matlab or python analysis tools (numpy, matplotlib, pandas) • Proficiency with Microsoft Excel • Experience with requirements verification and validation, or in performing analysis with python or matlab. • Experience in high performance computing or More ❯

commercial teams What we’re looking for: 2+ years' experience in data analysis or data science (financial data preferred) Proficient in Python (Pandas, NumPy, Matplotlib, etc.) Experience with APIs (REST/WebSocket) and time series datasets Strong communicator, comfortable translating complex data for non-technical stakeholders Self-starter, curious mindset More ❯

commercial teams What we’re looking for: 2+ years' experience in data analysis or data science (financial data preferred) Proficient in Python (Pandas, NumPy, Matplotlib, etc.) Experience with APIs (REST/WebSocket) and time series datasets Strong communicator, comfortable translating complex data for non-technical stakeholders Self-starter, curious mindset More ❯

management team in designing, developing and deploying quantitative risk models to manage our risk. Our tech stack is comprised of Python (incl. Pandas, NumPy & Matplotlib), SQL, MongoDB, GitLab and increasingly GCP. As a team of Risk Analysts & Risk Managers, we are looking for someone who can own the DevOps side More ❯

Get AI-powered advice on this job and more exclusive features. This range is provided by Mirai Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Junior More ❯

data analysis with proven business impact - preferably in the Dating mobile apps market. Strong expertise in SQL, Python, and data visualization tools (Tableau, Looker, Matplotlib). Experience designing and analyzing A/B tests. Familiarity with causality models for identifying relationships in data. Advantages Strong statistical background Strong story-telling More ❯