Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures. A university degree - numbers based, Computer Science or Geography. Relevant industry sector knowledge ideal but not essential. A strong communicator More ❯
Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A strong communicator More ❯
engineering skills, including version control (Git), code reviews, and unit testing. Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience with cloud services More ❯
to apply statistical techniques to validate 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 More ❯
etc.), and network analysis (social network analysis, centrality analysis, dynamic network analysis). Expertise in maintaining and deploying a notebook-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 More ❯
in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for More ❯
in machine learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for More ❯
with 8 years, master's with 6 years, or PhD with 4 years Proficiency in data science languages and tools (e.g., Python, R, SQL, Jupyter, Pandas, Scikit-learn) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and big data platforms (e.g., Spark, Hadoop) Strong background in statistics, data modeling, and More ❯
regular, aggressive clip. You will have the opportunity to choose W2 (with or without benefits) or 1099 employment options. Required: Demonstrated experience with Python, Jupyter demonstrated experience with Machine Learning, including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow Exposure to/ More ❯
AI/ML algorithms and techniques - Proficiency in scripting languages such as Python, Scala, SQL - Experience working within coding environments such as Databricks and Jupyter - Experience developing and deploying software solutions within cloud such as AWS or Azure - Ability to work collaboratively with stakeholders and in a team environment - Excellent More ❯
to learn new programming languages, tools, frameworks, and techniques. Preferred Qualifications: Familiarity with scripting languages such as Bash, and Bash Scripting. Experience with Databricks, Jupyter Notebook, Scala, Microsoft Power Query and Power Pivot. Software Architectures: Client-Server, Microservices, Model-View-Controller. Cloud Exposure: Multi-cloud architectures: AWS, IBM, Google, Azure More ❯
San Antonio, Texas, United States Hybrid / WFH Options
IAMUS
required skill certification promptly. Prefer current DoD IAT II or higher certification. Willingness to do a programming challenge during the interview process. Experience with Jupyter Notebooks, Python Data Science Libraries. Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring More ❯
engineering with data analysis software (R, Python, SAS, MATLAB). Experience with Windows server management and Power BI Report Service. Proficiency with Python/Jupyter Notebooks, SQL and relational databases, ElasticSearch/Kibana. Background working with analyst teams including conducting data analysis and creating data visualizations. Experience with graph analytics More ❯
with basic cloud development tools, environments and architectures Experience building data sets using Structured Query Language Experience working with Data Science IDEs such as JupyterLab, JupyterHub and Anaconda environments Experience with Data Science fundamental languages such as Python and R Working experience with Linux based systems RHEL, Rocky Linux, Ubuntu More ❯
Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations. Strong proficiency in numpy & pandas. Demonstrated skills with Jupyter Notebook or comparable environments Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking. Candidates require a TS to start. More ❯
Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations. Strong proficiency in numpy & pandas. Demonstrated skills with Jupyter Notebook or comparable environments Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking. Candidates require a TS to start. More ❯
for IoT data processing and real-time analytics specific to energy storage. Programming knowledge: Scripting (Python, Batch), relationship & time series databases, writing automated tests, Jupyter, Deepnote. Experience with Azure and AWS cloud infrastructure. Personal Qualifications: Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science More ❯
and train junior AI engineers. Commitment to continuous learning to stay updated with the latest AI technologies and practices. Familiarity with tools such as Jupyter Notebooks, Git, Docker, Kubernetes. More ❯
learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing More ❯
learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing More ❯
learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing More ❯
doing! As a Data Scientist, Level 2, your role is pivotal. Your Python expertise and experience in automating workflows, data manipulation, and visualization using Jupyter Notebooks will be crucial in our data-driven decision-making processes. You will be instrumental in streamlining processes and creating insightful visualizations. Job Description/ More ❯
