1 to 25 of 32 Permanent Plotly Jobs

Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI. Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus. Knowledge More ❯

data and feature engineering, and predictive analytics. Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact. Experience with cloud-based ETL solutions (e.g., AWS Glue More ❯

as Airflow or Luigi. Experience with message brokers (e.g., RabbitMQ, Kafka) for real-time data processing. Experience with data visualisation libraries (e.g., Matplotlib, Seaborn, Plotly) is a plus. Knowledge of ORM libraries like SQLAlchemy or Django ORM. Familiarity with containerization tools like Docker. Experience with testing frameworks like PyTest, UnitTest More ❯

relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc). Experience developing and implementing quantitative models from data in a financial context. Proficiency working with version control systems such as Git More ❯

and Operations teams What You'll Need Excellent SQL skills Problem-solving drive using data Proficiency in Python data science tools (pandas, NumPy, Jupyter, Plotly/matplotlib) Bonus skills include familiarity with Git, data visualization tools (Tableau, Looker, PowerBI), DBT, and 2-5 years of experience in consumer credit risk More ❯

you'll need Excellent SQL skills. A drive to solve problems using data. Proficiency with the Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.). Bonus skills include: Familiarity with Git. Experience with data visualization tools (Tableau, Looker, PowerBI, or equivalent). Knowledge of DBT. More ❯

that communicate your findings and relate them back to how your insights create business impact using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js. Working knowledge of databases and SQL is desired. Preferred qualifications include linking analytic and data visualization products to database connections. Preferred experience with More ❯

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 More ❯

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 More ❯

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 More ❯

level of competency with data science/analysis coding languages like SQL, Python, or R Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Self-starter with the vision More ❯

with various machine learning libraries (i.e. Apache Spark, Scikit-learn, XGBoost, etc.) Experience with various data manipulation and pipeline libraries (i.e. Pandas, Polars, matplotlib, Plotly, numpy, scipy, etc.)Experience with data science environments (e.g. Jupyter Notebook, Data Bricks, or Amazon Sage Maker) Experience with Python, R, and/or Java More ❯

Measure Killer) Proficiency in other data visualisation tools beyond Power BI (e.g., Tableau, Looker, ThoughtSpot), as well as data visualisation libraries (e.g., Matplotlib, Seaborn, Plotly, ggplot2, D3.js, Kepler.gl, Apache Superset, Streamlit). Expertise in data storytelling techniques and the ability to translate data into actionable insights through compelling narratives. Strong More ❯

XGBoost, LightGBM, statsmodels NLP & ML Frameworks: spaCy, Hugging Face Transformers, TensorFlow or PyTorch (where applicable) Data Engineering & Pipelines: dbt, Airflow, SQL, Spark, Dask Visualisation: Plotly, Seaborn, Matplotlib, Dash, Streamlit Dev & Collaboration Tools: Jupyter, Git, Docker, VS Code, CI/CD tools Ideal but Not Required: Fluency in French or German More ❯

predictive analytics. Experience working with programming languages like SQL and python (SQL required, python preferred) Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, and d3.js Self-starter with the vision to independently identify opportunities for improvement through data analytics. A true team player who maintains a positive attitude More ❯

experience as a Data Scientist Strong communication skills to translate technical analysis into business insights. Extensive experience with Python and data visualization frameworks (e.g., Plotly, Seaborn, Matplotlib). Proficiency in SQL for data extraction and manipulation. Experience with data modeling and statistical analysis. Familiarity with cloud environments (Google Cloud, AWS More ❯

knowledge of Impala or other SQL-on-Hadoop query engines. Understanding of web development concepts (HTML, CSS, JavaScript). Proficiency in data visualization libraries (Plotly, Seaborn). Solid understanding of database design principles and normalization. Experience with ETL tools and processes and Apache Oozie or similar workflow management tools. Understanding More ❯

Software Engineering, or a related discipline. Experience working with transport data, GIS systems, or modelling outputs. Familiarity with data analytics, visualisation libraries (e.g., D3.js, Plotly), and dashboard frameworks. Knowledge of public sector digital standards and procurement practices. Other Information Reports to: Head of Analytics/Technical Director (depending on organisation More ❯

you had any of the following Knowledge of fraud and/or financial crime. Experience with building Python data visualization apps using things like Plotly Dash. Knowledge of clustering algorithms and the problems they can help solve. Experience with cloud platforms especially, GCP. About working for us Our focus is More ❯

of "Big" data wrangling & HPC programming tools (e.g. data.table, Polars, Apache Arrow, Apache Spark) Data visualization using scripting language package APIs (e.g. ggplot2, Matplotlib, Plotly, D3) Data driven web application prototyping (e.g. R Shiny, Dash, Bokeh, Flask, Tableau, React) SCA/Union/Intern Rate or Range Details Target Salary More ❯

based data science environment (JupyterHub). Experience in advanced Python data science packages (Pandas, NetworkX, Scikit-Learn, PyTorch or TensorFlow/Keras, Matplotlib or Plotly, etc.) _ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final More ❯

AI/ML/DS concepts at a high level, including briefing senior executives like a CTO. Experience with data visualization, particularly using the Plotly library in Python. Strong System Engineering skills with a focus on Linux. What You'll Be Doing: Gather and analyze requirements to successfully guide projects More ❯

product company Experience building or maintaining third-party or in-house data quality and cataloguing solutions Experience with documentation of system architecture Pandas, Jupyter, Plotly DBT, Kafka BI tools such as Tableau, Metabase and Superset The current tech stack: Airflow Clickhouse DBT Python MongoDB PostgreSQL MariaDB Kafka K8s AWS FXC More ❯

our Software Team. Our Tech Stack: AWS, Athena SQL, Athena Spark, ECS, Azure, Azure Synapse SQL & Spark, Python, Flask, Fast API, Redis, Postgres, React, Plotly, Docker. We will potentially add GCP and on-premise in the future. What you can expect as a Senior Software Engineer at Monolith AI: As More ❯

Experience in strategic level corporate/governmental analysis and demonstrated analytic techniques to solve n operation-based problems • Experience with Data Visualization tools (Tableau, Plotly etc.) • Experience using and manipulating APIs • Experience with programming languages such as SQL, R and/or Python to condition, interrogate, and display data. • Basic More ❯