SUMMARY The Manufacturing Test Engineer plays a critical role in performing hands-on debugging, validation, and system-level failure analysis of next-generation server and rack systems within a high-mix, high-ambiguity manufacturing environment. This role requires strong Linux CLI proficiency, hardware integration expertise, and advanced troubleshooting skills across L6, L10, and L12 test stages. Success in this … and Process Engineering teams to identify root causes, drive corrective actions, and improve First Pass Yield (FPY). In addition to core debug responsibilities, this position involves automation scripting, statisticalanalysis, customer engagement, and mentoring junior team members to elevate system performance for AI/ML, GPGPU, and hardware accelerator-based server, networking, and storage platforms . Manufacturing … MINIMUM QUALIFICATIONS Education : Bachelors degree in Computer Science, Computer Engineering, Electronics, Electrical Engineering, or a related technical field. Experience : Minimum of 3 years of hands-on experience in failure analysis and system-level testing within a high-paced manufacturing environment. Technical Expertise : Proficiency with Linux Terminal and Bash scripting, including the ability to train others on Linux fundamentals. Intermediate More ❯
scaling research operations, building high-performing teams, and translating complex market intelligence into actionable business insights and products. You possess strong technical foundations with hands-on experience in data analysis, statistical modelling, and emerging AI/ML technologies. You understand both the commercial imperatives of a growing business and the technical challenges of delivering world-class market intelligence … research, consulting, or related fields 5+ years’ experience in offshore wind, or other energy and maritime sectors Proven track record managing teams of technical professionals Demonstrated expertise in data analysis, statistical modelling, and database management Strong understanding of AI/ML technologies and their commercial applications Excellent written and verbal communication skills with ability to present to C … suite audiences Experience with Python, SQL, Excel, and statisticalanalysis tools Highly Desirable MBA or equivalent advanced business qualification Experience with LLMs, machine learning model development, and cloud computing platforms Track record of successful product development and commercialization for high-growth subscription-based market intelligence providers Experience serving clients across offshore wind value chain (developers, OEMs, financiers, government More ❯
scaling research operations, building high-performing teams, and translating complex market intelligence into actionable business insights and products. You possess strong technical foundations with hands-on experience in data analysis, statistical modelling, and emerging AI/ML technologies. You understand both the commercial imperatives of a growing business and the technical challenges of delivering world-class market intelligence … research, consulting, or related fields 5+ years’ experience in offshore wind, or other energy and maritime sectors Proven track record managing teams of technical professionals Demonstrated expertise in data analysis, statistical modelling, and database management Strong understanding of AI/ML technologies and their commercial applications Excellent written and verbal communication skills with ability to present to C … suite audiences Experience with Python, SQL, Excel, and statisticalanalysis tools Highly Desirable MBA or equivalent advanced business qualification Experience with LLMs, machine learning model development, and cloud computing platforms Track record of successful product development and commercialization for high-growth subscription-based market intelligence providers Experience serving clients across offshore wind value chain (developers, OEMs, financiers, government More ❯
scaling research operations, building high-performing teams, and translating complex market intelligence into actionable business insights and products. You possess strong technical foundations with hands-on experience in data analysis, statistical modelling, and emerging AI/ML technologies. You understand both the commercial imperatives of a growing business and the technical challenges of delivering world-class market intelligence … research, consulting, or related fields 5+ years’ experience in offshore wind, or other energy and maritime sectors Proven track record managing teams of technical professionals Demonstrated expertise in data analysis, statistical modelling, and database management Strong understanding of AI/ML technologies and their commercial applications Excellent written and verbal communication skills with ability to present to C … suite audiences Experience with Python, SQL, Excel, and statisticalanalysis tools Highly Desirable MBA or equivalent advanced business qualification Experience with LLMs, machine learning model development, and cloud computing platforms Track record of successful product development and commercialization for high-growth subscription-based market intelligence providers Experience serving clients across offshore wind value chain (developers, OEMs, financiers, government More ❯
We're searching for talented individuals who provide intelligence, statisticalanalysis and programming expertise for the Government. This program will maximize the effectiveness and efficiency of our country's most important missions both at home and abroad. If you are ready to support a high-performing team that truly makes a difference, then come join us! Job Description … Performs technical analysis for malicious, in order to ascertain functionality and capability, assist with attribution and identification of indicators of compromise. Provide information and documentation that enables malware detection, signature creation, and mitigation. The Level 3 Data Scientist shall possess the following capabilities: Employ some combination (2 or more) of the following skill areas: Foundations: (Mathematical, Computational, Statistical … for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statisticalanalysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization More ❯
Data Scientist, you will perform the following functions: • Design and implement machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python , statisticalanalysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence … and/or software engineering. • Utilize analytic modeling, statisticalanalysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings. • Develop and communicate principal … science, and applications-specific knowledge. • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others in drawing appropriate conclusions from the analysis of such data. • Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting National Agency collection, processing, storage, analytic capabilities, and limitations. • Knowledge of agency More ❯
solutions. Additional information regarding the role, responsibilities, and required skill sets are below. Roles & Responsibilities • Support the development of recommendations and aid in the decision-making process by using statistical data analysis, testing, and modeling of large data sets • Identify and document areas for improvement in workflows or systems • Research and document options for collecting or aggregating data … Use languages, such as Python, to collect and process data from a variety of sources • Leverage the use of APIs and computing platforms to support data collection, management, and analysis • Create, maintain, and enhance systems in support of data visualization and analytics • Automate data management, clean-up, and conditioning of data sets through the use of scripts or algorithms … Required Skill Sets: • E xperience programming or scripting and debugging in one or more languages such as: Python, Javascript, R, SQL, Scala, etc. • Proficiency with data mining, mathematics, and statisticalanalysis demonstrated with hands-on academic and project experience conducting statisticalanalysis, testing, and modeling using regression analysis, linear regression, predictive modeling, chi-squared, clustering More ❯
science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C , data mining, advanced statisticalanalysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and … reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning … and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statisticalanalysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure More ❯
tools that automate processes and enhance analytic workflows. Your expertise will directly support operations, planning, and strategic initiatives. What Youll Do Conduct data analytics, engineering, mining, exploratory, predictive, and statisticalanalysis to support decision-making. Retrieve, merge, and manipulate data from multiple sources, applying advanced statistical methods and machine learning. Develop and implement AI/ML tools … Junior Level: Bachelors degree + 3 years of experience OR No degree + 7 years of experience Required Skills & Knowledge: Proficiency in Python, R, and SQL for data manipulation, statisticalanalysis, and machine learning. Experience with data visualization tools such as Power BI and Tableau. Knowledge of data mining algorithms, ML frameworks, and predictive analytics. Ability to manage … with Multi-INT analytics and applying AI/ML to mission data. Preferred Qualifications: Background in computer science, software development, or applied mathematics/statistics. Experience designing and implementing analysis infrastructure, workflows, and visualization systems. Demonstrated ability to bridge the gap between technology and analysis, enabling mission-focused solutions. Why Geo Owl?At Geo Owl, we are driven More ❯
the London office. In this role, you will be at the forefront of our data-driven initiatives, training machine learning and artificial intelligence models as well as leveraging advanced statistical techniques to uncover trends and patterns that inform our business strategy. Your insights will play a key role in shaping decisions across various business areas, including marketing, sales, claims … with emerging trends in data science and the pet insurance industry. You'll have the opportunity to evaluate and implement new methodologies, tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify … data visualisation, reports, and presentations. Stay updated on emerging trends and technologies in data science and the pet insurance industry, implementing new methodologies, tools, and frameworks to enhance data analysis and modelling processes. Perform statisticalanalysis, machine learning, and data mining to support various business needs. Participate in Agile or Kanban methodologies, contributing to a collaborative and More ❯
is currently hiring a Data Scientist to provide technical support to a federal agency. In this role, the Data Scientist will design and apply machine learning models, conduct detailed statisticalanalysis, and partner with cross-functional teams to deliver data-driven solutions. The successful candidate will have expertise in data science methodologies and tools, and strong communication skills … to support effective collaboration. This position requires an active Secret clearance. Key Responsibilities: Design and implement machine learning models, including those using large language models Conduct statisticalanalysis to uncover trends, patterns, and verify insights Work alongside data engineers to operationalize models into production environments Partner with analysts and visualization teams to clearly present findings Collaborate with stakeholders … will be considered in conjunction with applicable degrees) A minimum of 3 years of experience working in data science or machine learning Strong skills in machine learning techniques and statistical modeling (preferred: experience with sampling methods and LLMs) Hands-on proficiency with SQL, Python, and other data-focused programming languages (Azure experience is a plus) Proven problem-solving and More ❯
involves leveraging Python expertise to streamline processes and create insightful visualizations for data-driven decision-making. The Level 3 Data Scientist shall possess the following capabilities: Foundations: (Mathematical, Computational, Statistical). Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations). Devise strategies … for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statisticalanalysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization … inherent in DOD data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting DOD collection, processing More ❯
involves leveraging Python expertise to streamline processes and create insightful visualizations for data-driven decision-making. The Level 4 Data Scientist shall possess the following capabilities: Foundations: (Mathematical, Computational, Statistical). Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations). Devise strategies … for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statisticalanalysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization … inherent in DOD data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting DOD collection, processing More ❯
This role involves leveraging Python expertise to streamline processes and create insightful visualizations for data-driven decision-making. The Data Scientist shall possess the following capabilities: Foundations: (Mathematical, Computational, Statistical). Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations). Devise strategies … for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statisticalanalysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization … inherent in DOD data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting DOD collection, processing More ❯
Must Have Some Experience With : Ability to use analytic modeling, statisticalanalysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings. Ability to … science, and applications-specific knowledge. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting National Agency collection, processing, storage, and analytic capability and limitations. Knowledge of … and collaboration skills Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language ( e.g. Python), statisticalanalysis ( e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management ( e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence More ❯
assessment, domain-specific consideration. Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use analytic modeling, statisticalanalysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization … in National Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Qualifications: Bachelor's Degree with 3 years of relevant experience, associate's degree with 5 years of … college/university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statisticalanalysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence More ❯
We're searching for talented individuals who provide intelligence, statisticalanalysis and programming expertise for the Government. This program will maximize the effectiveness and efficiency of our country's most important missions both at home and abroad. If you are ready to support a high-performing team that truly makes a difference, then come join us! Job Description … The Level 2 Data Scientist shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming, data mining, advanced statisticalanalysis, advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment, experience as a data scientist working to support a single or More ❯
story of diverse, complicated data sets. You will develop solutions to complex data problems. The Level 2 Data Scientist shall possess the following capabilities: Ability to use analytic modeling, statisticalanalysis, programming, and/or another appropriate scientific method. Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization … science, and applications-specific knowledge. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting National Agency collection, processing, storage, and analytic capability and limitations. Knowledge of … tools and methodologies Strong critical thinking and collaboration skills Qualifications: Demonstrated experience in Data Science capabilities, to include designing/implementing machine learning, data science, advanced analytical algorithms, programing, statisticalanalysis, data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Associate degree in relevant field, plus 5 years of demonstrated experience or More ❯
model performance and ensure accuracy. Extract and prepare data for model training and analysis. Collect, clean, and analyze data for program complexity estimation and forecasting. Develop and implement data analysis methods for determining program complexity drivers. Conduct meta-analysis studies to estimate actual work effort based on program complexity. Collaborate with cross-functional teams to ensure project success. … Strong analytical and problem-solving skills to understand complex data sets and derive actionable insights. PREFERRED EXPERIENCE: 3+ years of combined experience in machine learning model development, data analysis, and statistical modeling. Strong understanding of machine learning algorithms, model evaluation metrics, optimization techniques, and statisticalanalysis techniques. Demonstrated ability to implement, validate, and improve supervised and … machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or related frameworks. Experience in evaluation metrics, model selection, and validation techniques such as cross-validation, bootstrapping, and assessing the statistical significance of model improvements. Excellent knowledge of data analysis, visualization, and preprocessing techniques. Familiarity with tools such as Pandas, NumPy, and Matplotlib. Experience deploying Classical and Modern Time More ❯
Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statisticalanalysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statisticalanalysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯
Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statisticalanalysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statisticalanalysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯
Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statisticalanalysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statisticalanalysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯
london (city of london), south east england, united kingdom
Scientific Beta
Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statisticalanalysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statisticalanalysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯
Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statisticalanalysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statisticalanalysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯
Responsibilities: Supports process improvement through conducting analysis using internal program and external benchmark data. Determines areas of risk and improvement by developing/refining/monitoring metrics to create identification of and justification for improvements. Conducts statisticalanalysis to measure production, performance, and usage of services and products. Performs record keeping functions, ensuring all visualization and production … ad hoc and recurring business analytic support that includes, but is not limited to, business process mapping of intelligence-related activities, performance measures of intelligence-related activities, surveying stakeholders, statisticalanalysis of intelligence-related activities, and process improvement analysis. Qualifications: At least 8 years of experience conducting analysis relevant to this position with at least a portion More ❯
