1 to 25 of 89 Permanent NumPy Jobs

and live trading Requirements: Bachelor's degree or higher in CS, Engineering or other technical discipline Demonstrated ability to program in a scientific computing environment, preferably in Python/NumPy/Pandas and Java/C++ Experience working with distributed systems and large data sets Strong knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc. Experience with SQL, NoSQL, or More ❯

solutions.Required Qualifications: Master's degree in Computer Science, Information Systems, Engineering, or equivalent experience in a scientific/technical discipline. Strong experience with Python and its data ecosystem (e.g., NumPy, pandas, scikit-learn). Proficiency in Java or Scala for developing scalable backend systems and data pipelines. Solid understanding of SQL and relational databases (e.g., MySQL, PostgreSQL, Hive). Familiarity More ❯

degree Experience with the following Data Science technologies Various machine learning libraries (i.e. Apache Spark, Scikit-learn, XGBoost, etc.) Data manipulation and pipeline libraries (i.e. Pandas, Polars, matplotlib, Plotly, numpy, scipy, etc.) Data science environments (e.g. Jupyter Notebook, Data Bricks, or Amazon Sage Maker) Experience implementing the data science process, developing experiments, reporting and explaining results Experience with Python and More ❯

you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr More ❯

you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr More ❯

MVP development and iteration. Data Storyteller makes technical findings accessible and impactful. Connector collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression More ❯

ingesting data, cleaning, etc.). Experience with Software/Data Science Concepts: Understanding of data structures, algorithms, and common data science techniques. Experience with data science tools like Pandas, NumPy, or similar libraries for data manipulation. Experience with Cloud/Distributed Systems: Familiarity with cloud platforms (AWS, Azure, etc.) is a plus, especially if the data pipeline is running in More ❯

Proficient in designing, developing, and maintaining RESTful APIs for data services using Python frameworks such as FastAPI, Flask, or Django. Strong experience with Python's data ecosystem (e.g., Pandas, NumPy) and deep expertise in SQL for building robust data extraction, transformation, and analysis pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with More ❯

loading. Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc. ETL/ELT Concepts Data warehouse concepts SQL Competency in data exploration, analytics, and feature engineering. (Python Specific) Pandas/NumPy/Polars/PySpark Plotly/Matplotlib (some form of data visualization) Data encoding/normalizing/regularizing/etc. Understanding of Deep learning concepts and architectures like CNNs, RNNs More ❯

interface with and a team of software engineers and must have working familiarity with one or more programming languages (our stack includes C, C++, Go/Golang, Rust, Python, numpy, pandas, and TypeScript/JavaScript) with ability to understand and describe existing customer mission systems, APIs, and performance requirements. Lead a blended team of customer operators and engineering teams to More ❯

lead technical workstreams to elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into More ❯

lead technical workstreams to elevate team capability. Essential Skills & Experience Proven experience in analytics engineering , data engineering , or model development roles. Advanced proficiency in Python (including libraries such as NumPy and Pandas) and SQL . Demonstrated ability to deliver production-ready solutions in a commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into More ❯

and operational efficiency. Ensure data ethics and preparation are integral to projects. Develop machine learning models and algorithms for complex challenges. Code in R or Python, utilizing libraries like numpy, scipy, and pandas. Conduct exploratory data analysis, model development, and evaluation. Work with both RDBMS and distributed datasets, demonstrating strong SQL skills. Design cloud-based data pipelines for scalable and More ❯

data filtering, pivot tables, vlookup, SUMIF/SUMIFS, charts. BI tools. Desirable PowerBI A/B testing. Split principles, test planning, logging. Desirable hard skills Python. Data analysis, pandas, numpy, scipy, statsmodels, seaborn, matplotlib etc. ETL processes. Airflow, Pentaho etc. IT understanding. Client-server processes. API. Back-end and front-end. Parsing. Algorithms and data structures. Management. Sprints, AGILE. Waterfall. More ❯

Experience with Retrieval-Augmented Generation (RAG) and prompt engineering. Proficiency in advanced statistical and machine learning techniques. Hands-on experience with big data processing tools: Hadoop, Spark, Kafka, Hive, NumPy, Pandas, Matplotlib. Familiarity with CI/CD and MLOps frameworks such as MLflow and Weights & Biases. Experience in building and managing large-scale distributed systems. Strong system architecture and RESTful More ❯

you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr More ❯

you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr More ❯

C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status More ❯

Data Scientist to join their team. Required: -Bachelor's Degree -Experience with Python, JavaScript, TypeScript, or SQL -Experience with ETL pipelines -Experience Git, SVN, or Mercurial Desired: -Experience with NumPy, scikit-learn, or Pandas -Experience with REST APIs (Python or Node.js) -Experience with writing SQL scripts for web applications The role is located in Springfield, VA and the work requires More ❯

components independently based on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations Required Skills: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience: Experience with Python ORM tools More ❯

you have what it takes? Required Qualifications TS/SCI with Polygraph Required Skills: Minimum 3-5 years' experience with: • Data Processing Python Libraries such as PySpark, Pandas and Numpy • Experience with API development in Python using Python libraries such as FastAPI • Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience: • Experience with Python ORM tools More ❯

Detection, LLMs, and frameworks such as Transformers (Hugging Face), PyTorch, OpenCV, YOLO. Programming: Strong Python (3.9+) skills, including OOP, async patterns, data structures, debugging. Data Processing: Proficient with Pandas, NumPy, SQLAlchemy/psycopg2, AWS Boto3. Cloud & Infrastructure: Hands-on AWS (Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS/Kubernetes). API Development: FastAPI, REST API design, external integrations More ❯

practices. -Engage with customer stakeholders to align on requirements and implementations. Required Skills: Minimum of 3 years of experience with: -Data Processing Python libraries such as PySpark, Pandas, and NumPy -API development in Python using libraries such as FastAPI -Unit testing frameworks such as PyTest (including mocking) -Familiarity with large-scale data processing, CI/CD pipelines, and cloud deployment More ❯

software Experience integrating Python code into Docker containers as part of a distributed architecture. Requirements: 1-3 years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: Experience with Python ORM tools for database as More ❯

on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations Requirements: 7+ years' experience with: Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills: Experience with Python ORM tools for database as More ❯