24 of 24 Plotly Jobs

statistical modeling. Experience with Power BI, Power Query, Power Automate, Power Apps, MS Excel, Python, and SQL. Experience using Python or R packages and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc.) to develop predictive analyses and machine learning models. Preferred Experience: Preferred: Experience with cloud computing/storage, data lakes/warehouses. Preferred: Experience with Spark and ML applications. More ❯

teams delivering cross-functional projects. Experience of embedding operation excellence culture within their teams. Knowledge of database modelling, database concepts and SQL Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar Hybrid working applies to this role, with the expectation of 2-3 days per week onsite. We create a place where people can grow, be their best More ❯

the following areas: Programming for Data Science (e.g., Python with Pandas, NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop More ❯

the following areas: Programming for Data Science (e.g., Python with Pandas, NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop More ❯

the following areas: Programming for Data Science (e.g., Python with Pandas, NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and Validation Big Data Technologies (e.g., Spark, Hadoop More ❯

Demonstrated experience working on or leading customer 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 Python (utilizing packages More ❯

of algorithms leveraging R, Python, SQL, or NoSQL Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 More ❯

algorithms leveraging R, Python, or SQL/NoSQL Experience with Distributed data/computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Bachelor's degree More ❯

of algorithms leveraging R, Python, SQL, or NoSQL • Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL • Experience with visualization packages, including Plotly, Seaborn, or ggplot2 About Blue Sky Blue Sky Innovative Solutions (Blue Sky) assists its federal, state and local, and commercial clients with solving their toughest challenges in the areas of More ❯

sports rules, strategies, and basic statistical concepts. Proficiency in programming languages such as Python (Preferred), R, or Julia, and experience with data manipulation and visualization tools like pandas, dplyr, plotly, or D3.js. Strong communication and presentation skills, with the ability to effectively convey complex information to both technical and non-technical audiences. Passion for sports and sports analytics, with a More ❯

outcomes. Proficiency in mathematical optimization, discrete-event simulation, rules programming, and predictive analytics is essential. Key technologies include Python, PyCharm, VS Code, Jupyter Notebooks, Pandas, NumPy, Dask, Matplotlib, Seaborn, Plotly, shell scripting, and database management with SQL, MongoDB, Cassandra, PostgreSQL, and MySQL. Familiarity with version control systems like Git, GitHub, GitLab, and CI/CD tools such as Docker, Podman More ❯

MLOps processes and tools for model deployment, monitoring, and retraining. • Proficient in SQL/NoSQL and languages like R or Python for algorithm development. • Visualization expertise with libraries like Plotly, Seaborn, or ggplot2. • Knowledge of GPU workloads and indexing/search optimization techniques. Additional Information: Ideal for candidates looking to apply advanced data science techniques in high-impact, mission-driven More ❯

confidently Build great relationships with Data Science, Technology, Finance, Collections, Ops and other stakeholders What you'll need Excellent SQL skills Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc) A drive to solve problems using data Experience in a management role What would be a bonus: Familiarity with Git Data visualization tool (Tableau, Looker, PowerBI or More ❯

Desirable Experience with issue and fault management systems. Knowledge and experience of how to integrate with and build OpenAPI/gRPC based systems. Experience building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with More ❯

Computing (i.e. AWS, GCP, Azure) Coding Experience (e.g. Python) CI/CD pipelines, unit testing, use of version control systems. Dashboarding and Data Visualization Skills (e.g. Streamlit, Dash, Retool, Plotly) Exposure to ML libraries/systems (Scikit-learn, PyTorch, MLflow) Clinical trials Good Clinical Practice (GCP) Medical device development About Us All our benefits information can be found in the More ❯

innovation and resource efficiency, contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend development: JavaScript/TypeScript, React More ❯

innovation and resource efficiency, contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend development: JavaScript/TypeScript, React More ❯

innovation and resource efficiency, contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend development: JavaScript/TypeScript, React More ❯

kit learn, scipy, hugging face etc. Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation. Experience in data visualization tools such as plotly, seaborn, streamlit etc would be an advantage. Understanding of data modelling and exposure to tools like metaflow or airflow is desirable. Understanding of common software practices like version control, continuous More ❯

own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as plotly, seaborn, streamlit etc You are Able to chart a path on a long term journey through much complexity, change and ambiguity. A clear communicator who can share a compelling plan More ❯

/or European government bond markets preferred Strong proficiency in Python programming and data manipulation libraries and experience dealing with datasets (e.g., Pandas, NumPy, SciPy) Experience with Dash/Plotly or other visualization software highly desirable Experience with database programming languages (e.g. kdb, SQL) Strong knowledge of MS Excel (especially using real-time data) Strong knowledge of statistics and/ More ❯

through feedback What You’ll Bring: Strong experience building production-grade React applications with TypeScript, hooks, and modern state management Proven capability delivering rich data visualisations using D3, Recharts, Plotly, or similar libraries Experience creating interfaces that surface AI outputs; from LLMs, knowledge graphs, or analytics pipelines Familiarity with design systems, accessibility, and responsive UI practices Comfortable integrating front ends More ❯

or regulated start-up environments Familiar with Python, R, C#, and/or JavaScript—especially in a data analysis context Comfortable developing interactive dashboards using tools like Dash or Plotly Understands data governance, privacy, and compliance in biomedical applications Exposure to DevOps practices, automated deployment, or infrastructure scaling Experience managing both Linux and Windows systems in production settings This is More ❯

Cypress) Security & Accessibility: OAuth/JWT, XSS/CSRF prevention, WCAG, and ARIA CI/CD & Developer Tooling: NX, GitHub Actions, monorepos, pipelines, and micro-frontend architectures Specific Technologies: Plotly, Echart, VTK, Three.js, WebGL, WebGPU, and WebAssembly What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great More ❯