Numpy Job Salaries

Find salary information for remote positions requiring Numpy skills. Make data-driven decisions about your career path.

Numpy

Median high-range salary for jobs requiring Numpy:

$207,900

This analysis is based on salary ranges collected from 43 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $160,000 - $207,900

25% of job descriptions advertised a maximum salary above $232,500.
5% of job descriptions advertised a maximum salary above $300,000.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include PyTorch, Machine Learning and Python. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

PyTorch
44% jobs mention PyTorch as a required skill. The Median Salary Range for these jobs is $175,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $243,750.
- 5% of job descriptions advertised a maximum salary above $250,000.
Machine Learning
70% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $170,000 - $210,350
- 25% of job descriptions advertised a maximum salary above $235,000.
- 5% of job descriptions advertised a maximum salary above $250,000.
Python
95% jobs mention Python as a required skill. The Median Salary Range for these jobs is $160,000 - $207,900
- 25% of job descriptions advertised a maximum salary above $235,500.
- 5% of job descriptions advertised a maximum salary above $300,000.
Tensorflow
42% jobs mention Tensorflow as a required skill. The Median Salary Range for these jobs is $165,000 - $206,400
- 25% of job descriptions advertised a maximum salary above $225,000.
- 5% of job descriptions advertised a maximum salary above $250,000.
Collaboration
51% jobs mention Collaboration as a required skill. The Median Salary Range for these jobs is $154,200 - $206,000
- 25% of job descriptions advertised a maximum salary above $220,000.
- 5% of job descriptions advertised a maximum salary above $276,000.
Data science
47% jobs mention Data science as a required skill. The Median Salary Range for these jobs is $159,200 - $206,000
- 25% of job descriptions advertised a maximum salary above $219,000.
- 5% of job descriptions advertised a maximum salary above $250,000.
Data Analysis
49% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $150,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $240,250.
- 5% of job descriptions advertised a maximum salary above $300,000.
Pandas
70% jobs mention Pandas as a required skill. The Median Salary Range for these jobs is $145,000 - $195,000
- 25% of job descriptions advertised a maximum salary above $212,800.
- 5% of job descriptions advertised a maximum salary above $300,000.
SQL
44% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $130,000 - $170,000
- 25% of job descriptions advertised a maximum salary above $207,425.
- 5% of job descriptions advertised a maximum salary above $324,250.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Finance, Artificial Intelligence and 3D technology, Mixed-reality experiences. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Finance
7% jobs are in Finance industry. The Median Salary Range for these jobs is $150,000 - $300,000
- 25% of job descriptions advertised a maximum salary above $363,750.
- 5% of job descriptions advertised a maximum salary above $385,000.
Artificial Intelligence
5% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $180,000 - $250,000
3D technology, Mixed-reality experiences
2% jobs are in 3D technology, Mixed-reality experiences industry. The Median Salary Range for these jobs is $180,000 - $250,000
AI, Machine Learning
2% jobs are in AI, Machine Learning industry. The Median Salary Range for these jobs is $175,000 - $215,000
AI and Quantum technology
2% jobs are in AI and Quantum technology industry. The Median Salary Range for these jobs is $133,000 - $210,000
Healthcare
5% jobs are in Healthcare industry. The Median Salary Range for these jobs is $175,000 - $207,500
- 25% of job descriptions advertised a maximum salary above $215,000.
Cybersecurity
9% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $131,500 - $155,000
- 25% of job descriptions advertised a maximum salary above $195,000.
- 5% of job descriptions advertised a maximum salary above $200,000.
Public Health
5% jobs are in Public Health industry. The Median Salary Range for these jobs is $92,700 - $134,275
AgTech
2% jobs are in AgTech industry. The Median Salary Range for these jobs is $88,000 - $131,000
Artificial Intelligence / Natural Language Processing
2% jobs are in Artificial Intelligence / Natural Language Processing industry. The Median Salary Range for these jobs is $30,000 - $45,000

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Data Scientist, Computer Vision

Posted 3 days ago

📍 Cambridge, Massachusetts, US

🧭 Full-Time

💸 88000.0 - 131000.0 USD per year

🔍 AgTech

🏢 Company: Sensei Ag👥 51-100 Information Technology

3+ years of experience in the commercial space or other demonstration of ability solving real-world computer vision problems.
MS in data science or related field.
Ability to independently source data, formulate problems and test solutions in the modeling and optimization domain.
Proficiency with utilizing and deploying machine learning models.
Expertise in Python, including work with data science libraries such as Numpy, Pandas, scikit-image.
Experience with reviewing literature and summarizing learnings.
Broad experience with multiple computer vision libraries in Python.
Expertise with extracting data via query languages and from object storage buckets.
Excellent verbal and visual communication skills, specifically with an aptitude for conveying data insights visually.
Ability to work with teams across the organization to understand challenges and data sources.
Ability to work with data and software engineers to support maintenance of robust data sources and to develop infrastructure for routine use of models.

Work closely with stakeholders across the organization to understand where data can be used to optimize systems or gain new knowledge.
Maintain current knowledge of data science methodologies and advise on which is most appropriate to a given need or knowledge gap.
Develop novel machine learning approaches.
Perform literature reviews and assessments of the current state of technology for different applications.
Work with data engineers to encode algorithms into robust pipelines for routine use.
Prototype tools to display and communicate with data.
Work with data engineers to develop systems for routine training, testing and deployment of models.
Brainstorm novel insights and new ways to leverage data.

Python Machine Learning MLFlow Numpy OpenCV PyTorch Pandas Tensorflow

Posted 3 days ago

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🔥 Senior ML Researcher, Applied Machine Learning

Posted 11 days ago

📍 USA

💸 175000.0 - 225000.0 USD per year

🔍 Technology-led companies in healthcare, cyber, and national security

Proven experience in ML research and optimization techniques.
Deep knowledge of language model fine-tuning with frameworks like GPT, BERT.
Strong understanding of ML frameworks, including TensorFlow and PyTorch.
Proficient in Python for efficient, maintainable coding.
Ability to communicate complex concepts to technical and non-technical stakeholders.
Master's or PhD in Computer Science, Machine Learning, or related field.
Track record of impactful ML solutions in enterprise settings.

Drive the research, development, and optimization of machine learning models.
Design, implement, and iterate on training protocols and fine-tuning processes, especially for Language Models.
Develop techniques for assessing and enhancing ML model performance.
Create systems that incorporate feedback for iterative model improvement.
Collaborate with product teams and domain experts on ML strategies.
Monitor latest ML and NLP research for integration into development.
Mentor junior researchers to foster continuous learning and innovation.

Python Machine Learning MLFlow NLTK Numpy PyTorch Tensorflow

Posted 11 days ago

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🔥 Senior Research Scientist, Machine Learning

Posted 15 days ago

📍 United States, Canada, Estonia, Argentina, India

🧭 Full-Time

💸 175000.0 - 215000.0 USD per year

🔍 AI, Machine Learning

🏢 Company: Clarifai

3+ years of hands-on experience in neural network development, with a strong focus on computer vision and/or natural language processing.
Experience with multiple imaging modalities.
Expertise in Python, as well as experience with libraries such as numpy, pandas, scikit-learn, and matplotlib.
Proficiency in PyTorch is required.
Advanced degree (PhD/Masters) in Computer Science, Mathematics, Engineering, or a related field.

Lead and participate in R&D initiatives in new research domains, particularly in CV, NLP, and multi-modal to augment Clarifai's product capabilities and meet customers’ unique needs.
Engage in rapid prototyping and experimental methodologies to fast-track innovation.
Develop clear, maintainable code that can be adopted and extended by others.
Adhere to best engineering practices, including source control management, code reviews, and test-driven development.
Foster a collaborative and inclusive environment, sharing knowledge and insights within and beyond Clarifai.

Python Numpy PyTorch Pandas

Posted 15 days ago

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🔥 Senior Machine Learning Engineer

Posted 15 days ago

📍 Canada

💸 100000.0 - 120000.0 USD per year

🔍 Cybersecurity

🏢 Company: SecurityScorecard👥 251-500💰 $180,000,000 Series E almost 4 years agoSecurity Risk Management Cyber Security Software

5+ years of experience or equivalent skills in ML Engineering or related field.
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics or related field.
Strong programming skills in Python.
Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
Proficiency in data manipulation using tools like Polars, Pandas, NumPy, or SQL.
Solid understanding of algorithms, statistics, and data structures.
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Knowledge of CI/CD pipelines and version control systems (e.g. Git).
Familiarity with Linux/Unix command line tools.

Establish best practices and share expertise through mentorship.
Design, train, and optimize machine learning models and algorithms.
Build and maintain scalable data pipelines for data preprocessing and analysis.
Implement and manage models in production ensuring scalability, reliability, and performance.
Stay updated on machine learning techniques to enhance model accuracy.
Collaborate with data scientists and software engineers for ML solution integration.
Monitor, evaluate, and fine-tune models post-deployment for accuracy.

AWS Docker Python SQL GCP Git Kubernetes Machine Learning Numpy PyTorch Algorithms Azure Data Structures Pandas Tensorflow CI/CD Linux

Posted 15 days ago

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🔥 Machine Learning Engineer

Posted 15 days ago

📍 Canada

🧭 Full-Time

💸 80000.0 - 95000.0 USD per year

🔍 Cybersecurity

🏢 Company: SecurityScorecard👥 251-500💰 $180,000,000 Series E almost 4 years agoSecurity Risk Management Cyber Security Software

3+ years of experience or equivalent demonstrable skills in ML Engineering, Data Science or related discipline.
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
Strong programming skills in Python.
Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL.
Solid understanding of algorithms, statistics, and data structures.
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Knowledge of CI/CD pipelines and version control systems (e.g. Git).
Familiarity with Linux/Unix command line tools.

Design, train, and optimize machine learning models and algorithms.
Build and maintain scalable data pipelines to preprocess, clean, and transform raw data for analysis and model training.
Implement and manage models in production environments, ensuring scalability, reliability, and performance.
Stay updated on the latest machine learning techniques, tools, and frameworks to enhance model accuracy and efficiency.
Work closely with data scientists, software engineers, and product teams to understand requirements and integrate ML solutions into products.
Continuously monitor, evaluate, and fine-tune models post-deployment to maintain accuracy and robustness.
Create clear and concise documentation for models, processes, and systems to support team collaboration and knowledge sharing.

AWS Docker Python SQL GCP Git Kubernetes Machine Learning Numpy PyTorch Azure Pandas Tensorflow CI/CD Linux

Posted 15 days ago

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🔥 Senior Financial Data Analyst

Posted 16 days ago

📍 US

🧭 Full-Time

💸 130000.0 - 160000.0 USD per year

🔍 Healthcare Technology

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B 7 months agoArtificial Intelligence (AI)Hospital Information Technology Health Care

3-5+ years' experience as a business intelligence analyst or data analyst.
Strong technical skills in querying data with SQL and building ETL pipelines.
Experience performing analysis with Python and creating compelling data visualizations.
Experience with health system clinical and/or revenue cycle data.
Ability to connect analytics to business understanding.
Ownership mindset to build and own features from start to finish.
Versatile in dealing with ambiguity.

Owning the relationship with and building intuition for the needs of cross-functional teams.
Developing end-to-end reporting solutions to drive transparency and promote operational efficiency.
Creating, refining, and maintaining metrics to track company performance.
Conducting data-driven investigations into trends impacting growth and customer success.
Becoming an expert of our data stack and how to effectively utilize it.
Building and testing data models for reporting and analytics.
Enhancing customer-facing reports and visualizations.
Providing data analysis support for AI-based products.

AWS Leadership Python SQL Business Intelligence Data Analysis ETL Git Numpy Snowflake Airflow Data science Pandas

Posted 16 days ago

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🔥 Lead or Staff GenAI Engineer

Posted 17 days ago

📍 US, Canada, Mexico

💸 180000.0 - 235000.0 USD per year

🔍 Digital tools for hourly employees

🏢 Company: TeamSense👥 11-50💰 Seed 10 months agoInformation Services Information Technology Software

Minimum qualifications include 10 years as an engineer, preferably with a platform engineering background.
Hands-on industry or academic research experience with LLM/GenAI.
Experience in NLP, Knowledge Graphs, Conversational Agents, or Personalization is necessary.
Deep knowledge of Python is required, with Rust as a bonus.

You'll be part of a small team responsible for TeamSense’s Agentic AI development.
Build multi-agent workflows.
Own the end-to-end design and implementation of Agents.
Train and retrain models; optimize them for performance.
Educate and influence Platform & Data engineering to be LLM-aware.

Leadership Python Software Development Artificial Intelligence Machine Learning NLTK Numpy Rust Mentoring Attention to detail Coaching

Posted 17 days ago

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🔥 Analytics Lead, Full Stack

Posted 19 days ago

📍 Poland

🧭 Contract

💸 285000 - 385000 PLN per year

🔍 Financial Services

🏢 Company: Affirm👥 1001-5000💰 Post-IPO Equity almost 4 years ago🫂 Last layoff almost 2 years agoLending Financial Services Payments FinTech

Strong sense of ownership, intellectual curiosity, and creative, critical thinking skills.
5+ years of experience with database design, architecture, and modeling techniques.
Proficiency in cloud data warehouses, especially Snowflake, and data engineering using ETL tools like DataBricks and Fivetran.
Expert working knowledge of dbt, SQL, and Python.
Experience writing clean, efficient code for ETL processes and data manipulation.
Familiarity with production-level IDEs and version control systems like GitHub.
Experience with standard Python analysis packages such as SciPy, NumPy, and Pandas.
Preferred experience includes Snowflake databases, integration platforms, Agile methodologies, finance and accounting processes, and ERP tools like NetSuite.

Design and deliver relational and non-relational database models, data pipelines, reporting and visualization solutions.
Support all phases of the analytics development life cycle including requirements gathering, design, development, testing, and deployment.
Recognize and adopt best practices in data warehousing, reporting, and analysis.
Own and document data pipelines and data lineage.
Identify and troubleshoot data-related and reporting production issues.
Drive reporting automation and improvement opportunities.
Advocate for technology best practices.
Assist BI Lead in building complex queries and optimize data access.
Promote data governance, security, privacy, quality, and retention.

Python SQL Agile ETL Git Numpy Snowflake Data engineering Pandas Agile methodologies Accounting Documentation

Posted 19 days ago

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🔥 Senior Data Scientist, Business Intelligence team (100% remote-friendly within Spain)

Posted 22 days ago

📍 Spain

💸 60000 - 70000 EUR per year

🔍 Healthcare technology

5+ years of relevant experience in data, working with state-of-the-art technologies.
Good understanding of statistical models (hypothesis testing, regression analysis, etc.) and time series analysis.
Expertise in ML-based methodologies, both supervised and unsupervised.
Hands-on experience in model development, deployment, and optimization using libraries and frameworks like NumPy, Pandas, Scikit-learn, PyTorch, and Keras.
Experience working with Data Warehouses such as Redshift, BigQuery, and Snowflake.
Understanding of model development lifecycle, MLOps, containerization and orchestration: Docker, Kubernetes, MLFlow, etc.
Excellent communication skills and stakeholder management.
Strong ability to translate business needs into technical requirements.
Agile mindset with the capability to experiment and adapt.
Growth mindset with a passion for learning and self-improvement.

Lead the complete model development lifecycle, implementing best practices for consistent testing and efficient software delivery.
Create, deploy, and fine-tune predictive models and machine learning algorithms for specific use cases.
Craft rigorous experiments and deliver insights to answer empirical questions.
Collaborate with data engineering and infrastructure teams to maintain and enhance a centralized data platform.
Participate in interdisciplinary projects at the intersection of business and technology.

Docker Agile Git Keras Kubernetes Machine Learning MLFlow Numpy PyTorch Snowflake Algorithms Data engineering Go Pandas Spark Communication Skills

Posted 22 days ago

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🔥 Senior Data Scientist, Business Intelligence team (100% remote-friendly within Poland)

Posted 22 days ago

📍 Poland

🧭 Full-Time

💸 21500 - 25000 PLN per month

🔍 Healthcare technology

5+ years of relevant experience working with state-of-the-art technologies.
Good understanding of statistical models and time series analysis.
Expertise in ML methodologies and model evaluation techniques.
Hands-on experience with libraries like NumPy, Pandas, Scikit-learn, PyTorch, and Keras.
Experience in Data Warehouses such as Redshift, BigQuery, and Snowflake.
Familiarity with version control practices using Git.
Understanding of MLOps, containerization, and orchestration tools.
Excellent communication and stakeholder management skills.
Ability to translate business needs into technical requirements.
Agile mindset with a commitment to continuous learning.

Lead the complete model development lifecycle, implementing best practices for testing and software delivery.
Create, deploy, and fine-tune predictive models and machine learning algorithms for specific use cases.
Craft rigorous experiments and deliver insights to empirical questions.
Collaborate with engineering teams to maintain and enhance a centralized data platform.
Participate in interdisciplinary projects to develop innovative solutions providing substantial value.

Docker Agile Git Keras Kubernetes Machine Learning MLFlow Numpy PyTorch Snowflake Algorithms Data engineering Go Pandas Communication Skills

Posted 22 days ago

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Shown 10 out of 80

Numpy Job Salaries

Median high-range salary for jobs requiring Numpy:

Skills and Salary

PyTorch

Machine Learning

Python

Tensorflow

Collaboration

Data science

Data Analysis

Pandas

SQL

Industries and Salary

Finance

Artificial Intelligence

3D technology, Mixed-reality experiences

AI, Machine Learning

AI and Quantum technology

Healthcare

Cybersecurity

Public Health

AgTech

Artificial Intelligence / Natural Language Processing

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