Numpy Jobs

Find remote positions requiring Numpy skills. Browse through opportunities where you can utilize your expertise and grow your career.

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🔥 Data Scientist

Posted 2024-11-21

📍 United States

🧭 Full-Time

🔍 Cybersecurity

🏢 Company: GreyNoise Intelligence

5+ years of data science experience and/or an advanced degree in a relevant discipline (Data Science, Machine Learning, Operations Research, etc.).
Experience implementing machine learning techniques with real-world data, preferably in computer networking or cybersecurity; specifically clustering and anomaly detection.
Proficiency with machine learning frameworks and libraries such as PyTorch, scikit-learn, and numpy.
Experience with natural language processing (NLP) techniques and working with LLMs.
Strong programming skills in Python and familiarity with statistical analysis.
Experience in data visualization with a variety of tools and working with front-end developers to bring visualizations to production.
Familiarity with database and big data technologies (Elasticsearch, SQL, Snowflake, etc.).
Knowledge of cloud-based hosting and ML services, particularly AWS.
Understanding of containerization and deployment technologies like Docker and Kubernetes.
Ability to communicate technical concepts effectively, both to teammates and external audiences.
Excellent problem-solving skills and adaptability in a dynamic environment.

Develop and deploy machine learning models for real-time anomaly detection and threat identification.
Automate the discovery of interesting and anomalous data from our global honeypot network.
Research and implement new LLM technologies to help read and understand complex internet traffic patterns.
Integrate new visualizations and statistical models into our product to enhance user experience and data interpretation.
Ensure data quality by collaborating with infrastructure engineers to develop tests and alerts for detecting defects and determining their origin.
Optimize data pipelines in collaboration with data engineers for efficient data processing.
Interface directly with customers to capture analytical requests and translate them into actionable engineering requirements.
Present findings through social media, blogs, and conferences to engage with the broader community.
Stay current with the latest AI/ML research and cybersecurity trends to continuously improve our solutions.
Monitor and tune ML models in production environments to ensure scalability and reliability.

AWS Docker Python SQL ElasticSearch Kubernetes Machine Learning Numpy PyTorch Snowflake Product Development Data science Elasticsearch Collaboration Documentation

Posted 2024-11-21

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🔥 Senior Data Scientist

Posted 2024-11-20

📍 US

🧭 Full-Time

🔍 Advertising technology

🏢 Company: Sojern

Strong problem-solving and analytical skills to understand business problems, develop hypotheses, and work with large datasets.
Intermediate/advanced proficiency level in analytical tools and techniques: SQL expertise, Python proficiency (e.g. pandas, statsmodels, sklearn, numpy), and spreadsheet usage.
2+ years of experience as a data scientist, ideally within the advertising technology ecosystem.
Strong understanding of statistical concepts, measurement methods, and causal inference techniques.
Effective verbal and written communication skills for collaboration and presenting insights.
Curiosity and initiative with a mindset of asking 'why' and proposing impactful ideas.
Attention to detail to ensure high quality of delivery in analytical tasks, documentation, and business requirement gathering.
MS/PhD in a quantitative discipline or equivalent experience.

Collaborate across functional teams, including Product Managers, Software Engineers, Analysts, and Scientists to enhance the performance, delivery, and efficiency of Sojern’s AI-driven marketing products.
Lead scientific domain in experimentation projects from scoping, test design, implementation, measurement, and insights delivery.
Apply statistical analysis, hypothesis testing, quasi-experimental techniques to rigorously evaluate experiments and draw actionable and data-driven conclusions.
Communicate findings and recommendations to both technical and non-technical stakeholders to enable faster and more informed decision-making.
Identify opportunities to improve methodologies and processes and develop scalable solutions that drive impact.
Contribute to data-driven product roadmap and scientific project prioritization.
Train and mentor analyst members on scientific methodologies as needed to support team growth.

Leadership Python SQL Data Analysis Numpy Tableau Data analysis Data science Pandas Communication Skills Analytical Skills Collaboration Microsoft Excel Attention to detail Written communication

Posted 2024-11-20

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🔥 Principal Machine Learning Engineer

Posted 2024-11-20

📍 Colombia

🔍 Communications

Typically 6+ years of proven experience in data science, focusing on LLMs and supervised ML models.
Proficiency in programming languages such as Python or R, with experience in SciKit-Learn, XGBoost, Keras.
Strong understanding of data processing and transformation techniques, including SQL and big data technologies.
Experience developing, training, and deploying ML models and Python applications in production environments.
Familiarity with cloud platforms like AWS Sagemaker and containerization tools like Docker and Kubernetes.
Excellent problem-solving skills and strong communication skills.

Build and deploy machine learning models, including propensity models and GenAI applications.
Collaborate closely with product, program, analytics, and engineering teams to refine models.
Leverage technical stack including Python, SQL, R, AWS, and data science libraries for AI/ML solutions.
Utilize enterprise data sources like Salesforce and Zendesk for model development.
Apply knowledge of LLMs to develop innovative solutions.

AWS Docker Python SQL Hadoop Keras Kubernetes Machine Learning MySQL Numpy Salesforce Data science Pandas Spark Communication Skills

Posted 2024-11-20

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🔥 Theorist (Quantum Error Correction, Atomic Physics, Quantum Algorithms)

Posted 2024-11-19

📍 United States

🔍 Quantum computing

Expertise in quantum error correction.
Strong background in atomic physics.
Knowledge of quantum algorithms.

Contribute to the architecture and applications of neutral atom quantum computers.
Collaborate with Quantum Engineering, Control Systems, and Software teams.

Python Software Development Differential Equations Matlab Numpy Algorithms Go Communication Skills Analytical Skills Collaboration Problem Solving

Posted 2024-11-19

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🔥 Theorist (Quantum Error Correction, Atomic Physics, Quantum Algorithms)

Posted 2024-11-19

📍 Austin, TX; Berkeley, CA

🔍 Quantum computing

Candidates should have expertise in quantum error correction, atomic physics, and quantum algorithms.

Contribute to the architecture and applications of neutral atom quantum computers.
Work alongside Quantum Engineering, Control Systems, and Software teams.
Demonstrate the power of scalable, neutral-atom quantum computers.

Python Differential Equations Matlab Numpy Algorithms Go Communication Skills Analytical Skills Collaboration Problem Solving Attention to detail Organizational skills Time Management Written communication

Posted 2024-11-19

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🔥 Director, Data Science Division (Remote, US)

Posted 2024-11-17

📍 United States

🧭 Full-Time

🔍 Consulting/Biomedical Services

🏢 Company: ICA.ai

Master's or PhD degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
12+ years of experience in data science or a related field.
At least 5 years of management experience leading teams of 10 or more data scientists, ML engineers, solution architects, and data engineers.
Deep expertise in statistical modeling, machine learning algorithms, and AI techniques.
Proficiency with programming languages such as Python and R, and experience with data manipulation libraries (e.g., pandas, NumPy).
Extensive experience with AI/ML frameworks like TensorFlow, PyTorch, scikit-learn.
Strong knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing solutions.
Advanced knowledge of AWS services (Athena, S3, Glue, SageMaker, Comprehend).
Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow).

Leverage technical expertise and business acumen to collaborate with senior stakeholders.
Ensure the Data Science team has necessary skills and resources to solve client data challenges.
Oversee a team of full-time employees and consultants supporting government clients.
Plan and direct operational policies, objectives, and initiatives.
Develop strategies and drive actions to meet financial and operational goals.
Monitor financial and operational metrics to achieve objectives.

AWS Leadership Project Management Python Agile Artificial Intelligence Cloud Computing Data Analysis Hadoop Kubeflow Machine Learning MLFlow Numpy PyTorch SCRUM Algorithms Data analysis Data science Pandas Spark Tensorflow Communication Skills Collaboration

Posted 2024-11-17

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🔥 Principal Machine Learning Data Scientist - Gen AI

Posted 2024-11-16

📍 United States

🧭 Full-Time

🔍 Manufacturing

🏢 Company: Xometry

A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or related field is preferred.
7+ years of experience in data science and machine learning focusing on generative models, LLMs, or computer vision.
Expertise in large-scale language and vision models such as Transformers, GPT, and VLMs.
Experience with multimodal data processing.
Proficient in Python with libraries like PyTorch, TensorFlow, pandas, and numpy.
Strong background in probability, statistics, and optimization techniques for generative modeling.
Familiarity with cloud computing resources for model training and deployment.
Knowledge of software engineering principles including version control and continuous integration.
Experience in manufacturing, supply chain, or related industries is a plus.

Provide technical leadership to the Generative AI team, setting technical direction and ensuring adherence to industry standards.
Lead strategic planning for generative AI initiatives, aligning with Xometry’s business objectives.
Develop and deploy generative AI models for multimodal document processing.
Design efficient workflows for data preparation and augmentation.
Utilize cloud platforms for data processing and model deployment.
Collaborate with cross-functional teams to drive impactful applications.
Mentor team members on advanced machine learning techniques.
Experiment with model performance to improve accuracy and efficiency.
Stay updated with latest research in generative AI.

AWS Leadership Python Agile Cloud Computing Machine Learning Numpy PyTorch Amazon Web Services Data science Pandas Tensorflow

Posted 2024-11-16

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🔥 Data Scientist II, Cost Prediction

Posted 2024-11-16

📍 United States

🧭 Full-Time

🔍 Manufacturing

🏢 Company: Xometry

Bachelor’s degree required; preferred in applied math, computer science, natural sciences, or engineering.
Degree in Mathematics, Statistics, or related field (M.S. or PhD highly desired).
3+ years of experience with machine learning, statistical modeling, and optimization techniques.
Experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds is a plus.
Fluency in Python (pandas, numpy, SciPy, and scikit-learn preferred).
Proficiency in linear algebra and statistics.
Familiarity with scientific software principles, e.g., versioning systems and code deployment.
Experience in the manufacturing industry is desired.

Use data science and machine learning principles to develop effective predictive models using 3D data.
Write software to prepare, clean, and sample data for developing predictive models.
Utilize cloud resources (e.g., Amazon Web Services) for data preparation and processing.
Query and extract data from databases (Snowflake and MongoDB).
Employ data analysis and visualization tools to inform business strategy.
Continuously iterate solutions in a fast-paced, ambiguous environment.
Tackle challenging, uncharted problems and work with a team in a learning-focused culture.

Python SQL Data Analysis Machine Learning MongoDB Numpy Snowflake Amazon Web Services Data analysis Data science Pandas

Posted 2024-11-16

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🔥 Freelance Translation Expert - AI Tutor

Posted 2024-11-15

📍 New Zealand

🧭 Contract

🔍 Artificial Intelligence

🏢 Company: Mindrift

Master’s degree in Applied Linguistics, Computational Linguistics, Computer Science, Tradumatics, Communication, Translation Studies, or related fields.
Advanced English (C1) or above.
Professional experience in relevant fields is an advantage.
Willingness to learn new methods.
Ability to switch between tasks and topics quickly.
Ability to work with challenging, complex guidelines.

Develop complex question-answer pairs.
Create scoring criteria (rubrics) to evaluate and grade AI responses.
Generate prompts that challenge the AI and may yield incorrect responses.
Define comprehensive scoring criteria for evaluating the correctness of AI's answers.
Correct AI responses based on domain-specific knowledge.

Artificial Intelligence Data Analysis Machine Learning NLTK Numpy Data analysis Pandas Communication Skills Analytical Skills Collaboration Problem Solving Attention to detail Organizational skills Presentation skills Time Management Written communication Multitasking

Posted 2024-11-15

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🔥 Freelance Computational Linguistics Expert - AI Tutor

Posted 2024-11-15

📍 Slovakia

🧭 Contract

🔍 Artificial Intelligence

🏢 Company: Mindrift

Master’s degree in Applied Linguistics, Computational Linguistics, Computer Science, Tradumatics (Translation Technologies), Communication, Translation Studies, or related fields.
Professional experience in those fields is an advantage.
Advanced level of English (C1) or above.
Willingness to learn new methods and ability to quickly switch between tasks.
Ability to sometimes work with challenging, complex guidelines.

Develop complex question-answer pairs.
Create scoring criteria (rubrics) for evaluating the quality of AI responses.
Generate prompts that challenge the AI and are likely to produce incorrect responses.
Define comprehensive scoring criteria for evaluating the correctness of the AI's answers.
Correct the AI's responses based on domain-specific knowledge.

Artificial Intelligence Data Analysis Machine Learning NLTK Numpy PyTorch Data analysis Data science Pandas Tensorflow Communication Skills Analytical Skills Collaboration Problem Solving Attention to detail Organizational skills Presentation skills Time Management Written communication Multitasking

Posted 2024-11-15

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