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 ❯
Chantilly, Virginia, United States Hybrid / WFH Options
The DarkStar Group
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, Kibana More ❯
Herndon, Virginia, United States Hybrid / WFH Options
The DarkStar Group
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, Kibana More ❯
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 reliable More ❯
Sheffield, South Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
My Finance Club
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. Jira More ❯
Chantilly, Virginia, United States Hybrid / WFH Options
The DarkStar Group
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, Kibana More ❯
Herndon, Virginia, United States Hybrid / WFH Options
The DarkStar Group
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, Kibana More ❯
Chantilly, Virginia, United States Hybrid / WFH Options
The DarkStar Group
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, Kibana More ❯
Herndon, Virginia, United States Hybrid / WFH Options
The DarkStar Group
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, Kibana More ❯
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, disability More ❯
coding skills (e.g., Python, C++, or Java) - Previous work on agents or LLMs 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, disability More ❯
challenges Drive the adoption of best practices in data science across the organisation, lead other data science engineers MINIMUM QUALIFICATIONS Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with common data science tools; statistical analysis More ❯
building complex, maintainable systems Professional software development experience with a track record of delivering high-quality, production-grade code Experience with scientific computing libraries such as NumPy, Pandas, or SciPy in production environments Holistic software development mindset covering testing, documentation, security, and performance Track record of mentoring other engineers and sharing knowledge across teams Working knowledge of mathematical modelling concepts More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Huxley
Energy Trading client are looking for a Quantitative Python Developer to join their team.The role will be working within a LNG, Power, Gas team.Requirements: Python Development Libraries - Pandas, Numpy, SciPy Preference for multiple language (C#, C++, Rust, Java) Quantitative development. Commodities experience, LNG, Gas, Power would be a bonus. An understanding of DevOps, specifically Azure cloud experience would be a More ❯
client are looking for a Quantitative Python Developer to join their team. The role will be working within a LNG, Power, Gas team. Requirements: Python Development Libraries - Pandas, Numpy, SciPy Preference for multiple language (C#, C++, Rust, Java) Quantitative development. Commodities experience, LNG, Gas, Power would be a bonus. An understanding of DevOps, specifically Azure cloud experience would be a More ❯
SparxEA, or Rhapsody tool suites Desired Qualifications: Java, JavaScript, or Python programming experience Knowledge of engineering analysis and analytical simulation tools such as ModelCenter, Systems Toolkit (STK), Mathematica, Modelica, SciPy, or SciKit-Learn Knowledge of multi-domain analysis and optimization techniques and tool Knowledge of Unified Architecture Framework (UAF) Experience with the development of executable systems models (OMG-Certified Systems More ❯
knowledge of software technologies used to support scientific operations in radio astronomy or related fields, including proficiency in Python, C++, Git, basic Linux administration, the use of the NumPy, SciPy and AstroPy scientific software libraries, and OpenMP Competency Summary An understanding of formal software engineering principles including design, documentation, ticketing systems, version control and testing frameworks Experience with large development More ❯
San Diego, California, United States Hybrid / WFH Options
Obsidian Solutions Group
and root-cause analysis Working knowledge of basic analysis using tools such as Microsoft Excel, Microsoft Power BI, Qlik, Databricks, Tableau, and/or Python (with Pandas, Matplotlib, NumPy, SciPy, Seaborn, etc.) Experience drafting U.S. Navy documents and administrative products (instructions, TACMEMOs, publications, naval messages, etc.) At least 4 years of recent experience leading and training functional teams in warfare More ❯
West London, London, United Kingdom Hybrid / WFH Options
Bond Williams Limited
in temporal modeling and deep learning. Document methods and support reproducibility, validation, and publication where appropriate. Essential Requirements Strong programming and modeling skills in Python (NumPy, PyTorch or TensorFlow, SciPy, pandas). In-depth knowledge of machine learning for time-series, including RNNs, LSTMs, GRUs, transformers, attention mechanisms. Solid understanding of probabilistic models (HMMs, Bayesian inference, graphical models). Experience More ❯
data DoD 8570 IAT Level II certification (e.g., Security+ CE, CCNA-Security) Robust knowledge of orbital mechanics Experience with applying Python numerical and libraries such as NumPy, Pandas, Matplotlib, SciPy, etc. Excellent problem solving and critical thinking skills, with a track record of resolving complex orbital anomalies Familiarity with Linux-based OS, particularly Red Hat or Suse. Proficiency in Python More ❯
or related technical discipline. Good knowledge of machine learning and computer vision algorithms. Familiarity with real-time imaging pipelines. Experience with scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit's, etc. Experience in standard software engineering practices including version control systems and software testing methodologies. Excellent oral and written communication skills. Analytical thinker, attentive to details, creative More ❯
the employee might be part of collaborations across different teams and must report to different project managers.Role Requirements Advanced programming with Python and related data science libraries (pandas, numpy, scipy, etc) at least 2 years, possibly at production level Data science skills: statistical analyses, machine learning techniques. Previous experience in statistical matching and segmentation techniques is a great bonus Communication More ❯
Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder More ❯
to facilitate seamless data exchange and integration across banking systems. Develop web applications using Python frameworks such as Django, Flask, or FastAPI. Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis and machine learning tasks (advantageous but optional Collaborate with cross-functional teams on system design, architecture, and best practices in development. Implement CI … skills, attention to detail, and ability to work under deadlines. Preferred: Experience working within banking or financial institutions. Preferred, but not required: Knowledge of machine learning libraries such as SciPy, Scikit-learn, TensorFlow. Experience with legacy banking systems and modernization projects. Strong communication skills and team collaboration experience. Agile/Scrum development experience. Note: If you are interested, please share More ❯
