1 to 25 of 29 Remote Seaborn Jobs

working with large datasets, data wrangling, and data preprocessing. • Experience in data science, statistical modelling, and data analytics techniques. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). • Ability to work independently and lead projects from inception to deployment. • Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is More ❯

working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is More ❯

. Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure). MSc or More ❯

. Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure). MSc or More ❯

. Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure). MSc or More ❯

. Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure). MSc or More ❯

. Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure). MSc or More ❯

models and algorithms. Data Manipulation & Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity: Generous equity package, on a standard vesting schedule Impact & Exposure: Work at the leading edge of More ❯

systems. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). • Proficiency in Python, R, or other relevant programming languages. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). • Ability to work independently and lead projects from inception to deployment. • MSc or PhD in Computer Science, Artificial Intelligence, or related field is preferred. Don't meet More ❯

manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi. What's important for us: Academically Grounded : Bachelor's More ❯

have a strong 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 have experience with BI tools More ❯

have a strong 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). You have experience with BI More ❯

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 like scikit More ❯

degree in Computer Science, Mathematics, Statistics, or a related field. Strong understanding of probability, statistics, and linear algebra. Proficiency in Python, including libraries such as scikit-learn, pandas, seaborn, and matplotlib. Experience writing and optimising SQL queries for data retrieval and manipulation. Ability to communicate complex insights in a simple and effective manner. Detail-oriented with a strong More ❯

relevant Bachelor’s degree OR 8+ years work experience in the field Strong command of querying and programming languages (SQL, R, Python) and visualization tools (Excel, Tableau, matplotlib, seaborn, plotly) Experience with numerical and categorical modeling, supervised and unsupervised machine learning techniques (OLS, GLMs, logistic regression, KNN, SVM, decision trees, clustering, neural networks) Hands-on experience with version More ❯

Machine Learning Engineer - SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have … fill any gaps in your skill set): Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is More ❯

fit for use cases. Effective technical communication skills to advocate solutions and explain them clearly to non-experts. Proficiency in Python, including libraries like pandas, PyTorch, matplotlib, and Seaborn, with experience in data science and engineering. Experience with cloud service technologies and enterprise tools such as Databricks, Snowflake, AWS Bedrock, SageMaker, Azure ML, and Google Vertex AI. Role More ❯

A relentless commitment 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, predictive modeling, statistical significance). More ❯

statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such as Pandas. Strong SQL skills, a good understanding of Linux, parallel computing tools, and experience with More ❯

search and retrieval, in PLM systems or other searchable CAD databases. Knowledge of statistics. You have experience analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others. You have knowledge of the design, manufacturing, AEC, or media & entertainment industries. Experience with Autodesk or similar products (CAD, CAE, CAM, etc.) The Ideal Candidate … search and retrieval, in PLM systems or other searchable CAD databases. Knowledge of statistics. You have experience analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others. You have knowledge of the design, manufacturing, AEC, or media & entertainment industries. Experience with Autodesk or similar products (CAD, CAE, CAM, etc.) The Ideal Candidate More ❯

search and retrieval, in PLM systems or other searchable CAD databases. Knowledge of statistics. You have experience analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others. You have knowledge of the design, manufacturing, AEC, or media & entertainment industries. Experience with Autodesk or similar products (CAD, CAE, CAM, etc.). The Ideal … search and retrieval, in PLM systems or other searchable CAD databases. Knowledge of statistics. You have experience analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others. You have knowledge of the design, manufacturing, AEC, or media & entertainment industries. Experience with Autodesk or similar products (CAD, CAE, CAM, etc.). The Ideal More ❯

A relentless commitment 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, predictive modeling, statistical significance). More ❯

A relentless commitment 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, predictive modeling, statistical significance). More ❯

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 ❯

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 ❯