1 to 25 of 31 Permanent SciPy Jobs

product from an idea into production Common Tech Stacks at Northstrat: React, Angular, Vue.js, Javascript Java, NodeJS, Ruby, Clojure, Python Docker, Kubernetes, Redis, Kafka, SciPy, NumPy, Pandas CM processes/tools: GIT, JIRA, Confluence Soft Skills Teamwork Communication Skills Self-Motivated Time Management Skills Adaptability to an agile work environment ...

5+ years Deep understanding of object-oriented design, concurrency, and high-performance distributed systems Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related ...

What We’re Looking For Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems Familiarity ...

Aerospace vehicles, orbital mechanics, electromagnetics, space domain awareness Modeling and simulation, including directed energy Machine learning and data analysis using Python (pandas, NumPy, SciPy, scikit-learn), C++, and frameworks such as PyTorch and TensorFlow Reinforcement learning, large language model development, computer vision, data mining, and core ML techniques (classification, regression ...

Master's , or PhD in Physics , Chemistry , Mathematics , Biochemistry , or related Computational Sciences . Strong experience in Python and scientific computing libraries (e.g., NumPy , SciPy , Matplotlib , JAX ). Ability to translate academic research into structured problem statements. Proficiency with Git and branch management. Familiarity with testing frameworks like pytest . ...

college level physics, math, and/or signal and image processing techniques Strong programming skills in Python, including scientific Python libraries such as numpy, scipy, pandas Strong programming skills in C, C++, or similar languages Demonstrated knowledge of MPI and OpenMP parallel programming models Demonstrated experience with CUDA programming ...

experience in Python and modern software practices, including testing, CI/CD, version control, and code review. Familiarity with scientific Python ecosystems (e.g., numpy, scipy, pandas, matplotlib). Experience building data/controls/DAQ-adjacent systems and integrating with relevant technologies such as SQL databases, time-series/experimental ...

results An analytical mindset Experience with real-time streaming systems Signal processing expertise Python knowledge, especially with libraries used by data scientists (NumPy, Pandas, SciPy, etc.) preferred Familiarity with Machine-Learning libraries (PyTorch, CoreML, TensorFlow, etc.) a plus Experience in Android development preferred Experience in iOS development: Swift, Objective ...

Python, JavaScript, and software version control Exposure to a Web UI Framework or CSS Ability to leverage Python Libraries such as Pandas, NumPy, SciPy, Google Analytics API Client Library Strong Math and Modeling Skills Self-Starter Who Can Work Autonomously Organizational and Time Management Skills Enthusiasm and Eagerness to Learn ...

over time. Required Skills and Qualifications Technical Expertise (The Core) Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling ...

Python programming skills with experience in scripting and automation Understanding of software engineering principles and code organization Experience with data processing libraries (pandas, numpy, scipy) Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn) Basic understanding of file I/O, data parsing, and format conversion Experience with version control ...

engineering, or ML engineering. Strong problem-solving skills and ability to work independently. Excellent communication and collaboration skills. Proficiency in Python (Pandas, NumPy, or SciPy) or R is required. Previous experience in building Batch or Streaming Data and ML pipelines is preferred. Proficiency in building and working with APIs ...

engineering, or ML engineering. Strong problem-solving skills and ability to work independently. Excellent communication and collaboration skills. Proficiency in Python (Pandas, NumPy, or SciPy) or R is required. Previous experience in building Batch or Streaming Data and ML pipelines is preferred. Proficiency in building and working with APIs ...

engineering, or ML engineering. Strong problem-solving skills and ability to work independently. Excellent communication and collaboration skills. Proficiency in Python (Pandas, NumPy, or SciPy) or R is required. Previous experience in building Batch or Streaming Data and ML pipelines is preferred. Proficiency in building and working with APIs ...

building and operating real-time or streaming data systems (e.g., Redis Streams, Kafka, Pulsar, Flink). Experience with scientific/numerical Python libraries (NumPy, SciPy, Pandas), GCP (or comparable cloud infrastructure), containerization (Docker/Kubernetes), and Infrastructure as Code/CI/CD pipelines (Terraform, GitHub Actions, GitLab CI, etc. ...

Ph.D. in a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization techniques Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility Experience in the manufacturing industry ...

tools (e.g. Git, Linux, Anaconda, Docker) Have expertise using Python or MATLAB for scientific programming, algorithm development, data analysis, and complex visualizations (e.g. NumPy, SciPy, Pandas, Matplotlib) Have an active security clearance Pay Information Full-Time Salary Range: $134,000 - $184,000 The salary range listed is based on external ...

Google Maps, ArcGIS API for JavaScript, MapLayers, Leaflet, Mapbox, or others) Math, statistical & scientific data processing automation (using libraries, packages or tools such as SciPy, NumPy, ArcPy, GDAL, R MatLab, etc.) Raster datasets and time-series collections Application of Machine Learning (ML) and Artificial Intelligence (AI) techniques for geospatial analytics ...

constantly improve and learn inside and outside of expertise PREFERRED EXPERIENCE: Domain-specific experience in statistics, machine learning, or AMO physics Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on realtime object detection Experience with databases (relational and non-relational) including but not limited to timeseries data ...

constantly improve and learn inside and outside of expertise PREFERRED EXPERIENCE: Domain-specific experience in statistics, machine learning, or AMO physics Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on realtime object detection Experience with databases (relational and non-relational) including but not limited to timeseries data ...

years of professional experience in software engineering or relevant professions Development experience in Rust, C++, or similar compiled language Experience using scientific Python (NumPy, SciPy, etc.), Julia, MATLAB, or similar Coursework or experience in numerical methods, ordinary differential equations, and mechanics Nice to Have 3+ years of professional experience ...

wearables—including strategies for managing irregular sampling, noise, and missing data. Advanced skills in Python for data analysis, utilizing tools such as pandas, NumPy, SciPy, and a range of visualization libraries (matplotlib, seaborn, etc.). Expertise in designing and executing controlled data experiments, including A/B tests and cohort ...

background in Machine Learning, DL and Applied Statistics• Time-series modelling + backtesting• Experience with geospatial and climate datasets• Python stack: PyTorch, scikit-learn, scipy• Reproducible workflows (Git, AWS/cloud, W&B)Nice-to-haves:• Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds)• Climate ...

development with a strong understanding of Python. Experience in embedded systems programming and development. Familiarity with Python libraries used for scientific computations (e.g., NumPy, SciPy). Experience with optimizing computations for real-time processing is highly desirable. Preferred Qualifications: Background in physics or electrical engineering with a focus on electromagnetic ...

preferably MSc/currently enrolled in a Ph.D. program) in Computer Science, Materials Science, or a related field. Mastery of Python scientific libraries (NumPy, SciPy, Pandas). Expert-level experience with high-performance frameworks like Polars, Vaex, or Dask for massive datasets. Experience building agentic workflows (e.g., LangGraph, CrewAI ...