151 to 163 of 163 NumPy Jobs

Data Analytics, Statistics, Mathematics, Computer Science , or related field Strong knowledge of Excel/Google Sheets Basic proficiency in SQL Familiarity with Python (Pandas, NumPy) or similar tools Understanding of data visualization tools (Tableau, Power BI, etc.) Strong analytical and problem-solving skills Preferred Qualifications Experience with real-world datasets ...

Data Analytics, Statistics, Mathematics, Computer Science , or related field Strong knowledge of Excel/Google Sheets Basic proficiency in SQL Familiarity with Python (Pandas, NumPy) or similar tools Understanding of data visualization tools (Tableau, Power BI, etc.) Strong analytical and problem-solving skills Preferred Qualifications Experience with real-world datasets ...

Data Analytics, Statistics, Mathematics, Computer Science , or related field Strong knowledge of Excel/Google Sheets Basic proficiency in SQL Familiarity with Python (Pandas, NumPy) or similar tools Understanding of data visualization tools (Tableau, Power BI, etc.) Strong analytical and problem-solving skills Preferred Qualifications Experience with real-world datasets ...

been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating on network architectures ...

What you bring Engineering/physics degree Strong RL experience (deep RL, debugging, non‐trivial problems) Python + modern ML stack (PyTorch/JAX, NumPy, RL libs) Comfortable with time‐series sensor data Ability to turn ambiguous operational challenges into tractable ML problems Happy switching between research and practical engineering ...

What you bring Engineering/physics degree Strong RL experience (deep RL, debugging, non‐trivial problems) Python + modern ML stack (PyTorch/JAX, NumPy, RL libs) Comfortable with time‐series sensor data Ability to turn ambiguous operational challenges into tractable ML problems Happy switching between research and practical engineering ...

candidate must have some experience in several of the following areas: Full stack development Python (and associated data analysis libraries such as Numpy and Pandas) C#, .NET, and JavaScript/Typescript Visual Basic for Applications (VBA) Linux, including bash scripting Git Experience in the following areasare desirable: Cloud technologies Data ...

candidate must have some experience in several of the following areas: Full stack development Python (and associated data analysis libraries such as Numpy and Pandas) C#, .NET, and JavaScript/Typescript Visual Basic for Applications (VBA) Linux, including bash scripting Git Experience in the following areasare desirable: Cloud technologies Data ...

Experience in machine learning Exposure to machine learning models and corresponding statistics like K‐means, Bayesian, Clustering Strong technical skills with Python along with NumPy, Pandas, Scikit‐Learn Machine learning experience -> predictive and prescriptive modelling Data wrangling and data cleansing experience Strong analytical skills Any experience with Node.JS would … IOS. Experience in Java and Python. Exposure to MVC frameworks such as spring, hibernate, & other java related frameworks. Exposure to packages in Python, including numpy, pandas, matplotlib, etc. Familiar with relational & non‐relational databases such as SQL Server, MySQL, Mongo. Experience interacting with REST APIs. Developed web services and used ...

development, championing best practices for automation, scraping, data processing, and integration workflows. Data Manipulation: Extract and process complex datasets using data-centric libraries (Pandas, NumPy, Polars) and scraping/parsing tools (BeautifulSoup, Selenium, Requests, pdfplumber). Database & Cloud Management: Architect and optimize complex SQL queries in PostgreSQL. Manage and deploy … Python, Postgres SQL, Azure Databricks, AWS (S3), Git, Azure DevOps CI/CD, and Apache Airflow. Python Ecosystem: Extensive, recent hands-on experience utilizing NumPy, Pandas, Polars, BeautifulSoup, Selenium, and Requests . Data Ecosystems: Strong background in building native Python ETL pipelines for data scraping/processing. Big Data experience ...

development, championing best practices for automation, scraping, data processing, and integration workflows. Data Manipulation: Extract and process complex datasets using data-centric libraries (Pandas, NumPy, Polars) and scraping/parsing tools (BeautifulSoup, Selenium, Requests, pdfplumber). Database & Cloud Management: Architect and optimize complex SQL queries in PostgreSQL. Manage and deploy … Python, Postgres SQL, Azure Databricks, AWS (S3), Git, Azure DevOps CI/CD, and Apache Airflow. Python Ecosystem: Extensive, recent hands-on experience utilizing NumPy, Pandas, Polars, BeautifulSoup, Selenium, and Requests . Data Ecosystems: Strong background in building native Python ETL pipelines for data scraping/processing. Big Data experience ...

development, championing best practices for automation, scraping, data processing, and integration workflows. Data Manipulation: Extract and process complex datasets using data-centric libraries (Pandas, NumPy, Polars) and scraping/parsing tools (BeautifulSoup, Selenium, Requests, pdfplumber). Database & Cloud Management: Architect and optimize complex SQL queries in PostgreSQL. Manage and deploy … Python, Postgres SQL, Azure Databricks, AWS (S3), Git, Azure DevOps CI/CD, and Apache Airflow. Python Ecosystem: Extensive, recent hands-on experience utilizing NumPy, Pandas, Polars, BeautifulSoup, Selenium, and Requests . Data Ecosystems: Strong background in building native Python ETL pipelines for data scraping/processing. Big Data experience ...

development, championing best practices for automation, scraping, data processing, and integration workflows. Data Manipulation: Extract and process complex datasets using data-centric libraries (Pandas, NumPy, Polars) and scraping/parsing tools (BeautifulSoup, Selenium, Requests, pdfplumber). Database & Cloud Management: Architect and optimize complex SQL queries in PostgreSQL. Manage and deploy … Python, Postgres SQL, Azure Databricks, AWS (S3), Git, Azure DevOps CI/CD, and Apache Airflow. Python Ecosystem: Extensive, recent hands-on experience utilizing NumPy, Pandas, Polars, BeautifulSoup, Selenium, and Requests . Data Ecosystems: Strong background in building native Python ETL pipelines for data scraping/processing. Big Data experience ...