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:

$232,988

This analysis is based on salary ranges collected from 33 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 $175,000 - $232,988

25% of job descriptions advertised a maximum salary above $254,275.
5% of job descriptions advertised a maximum salary above $303,315.

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 Algorithms, Data Analysis and Tensorflow. 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.

Algorithms
64% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $178,689 - $250,000
- 25% of job descriptions advertised a maximum salary above $270,325.
- 5% of job descriptions advertised a maximum salary above $306,775.95.
Data Analysis
52% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $175,100 - $250,000
- 25% of job descriptions advertised a maximum salary above $296,250.
- 5% of job descriptions advertised a maximum salary above $302,535.
Tensorflow
52% jobs mention Tensorflow as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $270,325.
- 5% of job descriptions advertised a maximum salary above $306,689.15.
PyTorch
45% jobs mention PyTorch as a required skill. The Median Salary Range for these jobs is $180,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $276,775.
- 5% of job descriptions advertised a maximum salary above $307,718.25.
Data science
36% jobs mention Data science as a required skill. The Median Salary Range for these jobs is $177,550 - $242,500
- 25% of job descriptions advertised a maximum salary above $258,550.
- 5% of job descriptions advertised a maximum salary above $303,010.
Machine Learning
82% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $177,309 - $235,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $304,858.65.
Python
100% jobs mention Python as a required skill. The Median Salary Range for these jobs is $175,000 - $232,988
- 25% of job descriptions advertised a maximum salary above $254,275.
- 5% of job descriptions advertised a maximum salary above $303,315.
SQL
61% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $170,000 - $216,500
- 25% of job descriptions advertised a maximum salary above $258,550.
- 5% of job descriptions advertised a maximum salary above $301,950.
Pandas
76% jobs mention Pandas as a required skill. The Median Salary Range for these jobs is $170,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $300,975.

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, AI/ML and Software Development. 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
6% jobs are in Finance industry. The Median Salary Range for these jobs is $150,000 - $300,000
AI/ML
3% jobs are in AI/ML industry. The Median Salary Range for these jobs is $185,000 - $300,000
Software Development
27% jobs are in Software Development industry. The Median Salary Range for these jobs is $178,689 - $250,000
- 25% of job descriptions advertised a maximum salary above $257,500.
- 5% of job descriptions advertised a maximum salary above $310,291.
3D technology, Mixed-reality experiences
3% jobs are in 3D technology, Mixed-reality experiences industry. The Median Salary Range for these jobs is $180,000 - $250,000
Artificial Intelligence
3% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $180,000 - $250,000
Cybersecurity
9% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $163,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $275,000.
- 5% of job descriptions advertised a maximum salary above $295,000.
Autonomous vehicle technology
3% jobs are in Autonomous vehicle technology industry. The Median Salary Range for these jobs is $177,300 - $212,800
AI and Quantum technology
3% jobs are in AI and Quantum technology industry. The Median Salary Range for these jobs is $133,000 - $210,000
Mental Health
6% jobs are in Mental Health industry. The Median Salary Range for these jobs is $172,500 - $207,500
- 25% of job descriptions advertised a maximum salary above $215,000.
Artificial Intelligence / Natural Language Processing
3% 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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🔥 Graduate PhD Summer Intern – AI/ML Software Developer

Posted about 24 hours ago

📍 United States of America

🧭 Internship

💸 50200.0 - 80300.0 USD per year

🔍 Software Development

🏢 Company: NREL

🔧 Requirements

Only current PhD students will be considered for this internship.
Experience in deep learning models, Bayesian neural networks, graph neural network models, and probabilistic semantic graphs.
Experience in the formulation of mixed-integer optimization problems and open-source solvers for sensor placement in distribution systems.
Demonstrated experience in programming languages such as Python and MATLAB.
Experience with open-source, collaborative software development and use of tools such as GitHub or GitLab for project management and version control.

💡 Responsibilities

Develop sensor placement and optimization software tools for modern distribution power systems integrated with clean energy resources such as Photovoltaics, batteries, EV Charging Stations, and electric vehicles.
Contribute to the development of deep learning models such as Bayesian neural networks, graph neural networks, probabilistic semantic graphs, and Generative AI to detect anomalies such as missing data, bad data, and communications failure in sensor data.
Development of data driven forecasting and disaggregation models and validation of both centralized and distributed state estimation algorithms.

Python Git Machine Learning Matlab Numpy Tensorflow

Posted about 24 hours ago

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🔥 Director of Machine Learning

Posted 3 days ago

📍 US

💸 220000.0 - 250000.0 USD per year

🔍 Software Development

🏢 Company: Inspiren👥 11-50💰 $2,720,602 over 2 years agoMachine Learning Analytics Information Technology Health Care

🔧 Requirements

8+ years of professional experience in machine learning, software engineering, or a similar domain
5+ years with machine learning algorithms, model development, and model deployment
5+ years of experience with computer vision
1+ years of experience with generative AI
5+ years of demonstrated ability to provide technical leadership, mentor team members, and drive consensus among diverse stakeholders
3+ years in advanced algorithm design and analysis
Proficiency in Python, R, or Scala languages for data science
Experience with TensorFlow, Keras, or PyTorch for neural network modeling
Ability to optimize machine learning models for performance
Proven track record of deploying machine learning models into production

💡 Responsibilities

Develop strategic goals for machine learning that are in sync with current industry trends and Inspiren’s business objectives.
Oversee the design of innovative machine learning models and algorithms, and refine existing ones to enhance performance and accuracy.
Mentor and nurture the professional growth of senior machine learning experts.
Drive innovative research and development in machine learning to keep our technology at the forefront.

Python Data Analysis Image Processing Keras Machine Learning Numpy PyTorch Algorithms Data Structures Pandas Tensorflow Scala Data modeling

Posted 3 days ago

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🔥 Staff Data Scientist, Ads Experimentation

Posted 5 days ago

📍 United States

🧭 Full-Time

💸 217000.0 - 303900.0 USD per year

🔍 Digital Advertising

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

M.S.: 10+ years of industry data science experience, emphasizing experimentation and causal inference.
Ph.D.: 6+ years of industry data science experience, emphasizing experimentation and causal inference
Master's or Ph.D. in Statistics, Economics, Computer Science, or a related quantitative field
Expertise in experimental design, A/B testing, and causal inference
Proficiency in statistical programming (Python/R) and SQL
Demonstrated ability to apply statistical principles of experimentation (hypothesis testing, p-values, etc.)
Experience with large-scale data analysis and manipulation
Strong technical communication skills for both technical and non-technical audiences
Ability to thrive in fast-paced, ambiguous environments and drive action
Desire to mentor and elevate data science practices
Experience with digital advertising and marketplace dynamics (preferred)
Experience with advertising technology (preferred)

💡 Responsibilities

Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian approaches and causal inference to optimize complex ad strategies
Extract critical insights through in-depth analysis, developing automated tools and actionable recommendations to drive impactful decisions Define and refine key metrics to empower product teams with a deeper understanding of feature performance
Partner with product and engineering to shape experiment roadmaps and drive data-informed product development
Provide technical leadership, mentor junior data scientists, and establish best practices for experimentation
Drive impactful results by collaborating effectively with product, engineering, sales, and marketing teams

AWS Python SQL Apache Airflow Data Analysis Hadoop Machine Learning Numpy Cross-functional Team Leadership Product Development Algorithms Data engineering Data science Regression testing Pandas Spark Communication Skills Analytical Skills Mentoring Data visualization Data modeling A/B testing

Posted 5 days ago

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🔥 Principal Software Engineer, Agentic AI (Remote)

Posted 5 days ago

📍 United States

💸 185000.0 - 295000.0 USD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

6+ years of experience in leading and building SAAS and hybrid-cloud application development, at large organizations or innovative startups.
3+ years of experience with Agentic AI platforms such as Microsoft Copilot Studio, Amazon Bedrock, Google Vertex AI, Open AI etc. Experience with AI based conversational UI.
Strong programming skills in one of Python, Go, Scala or Java, with experience in building distributed systems.
Demonstrated experience in platform development (APIs, Databases, Serverless architecture) of cloud applications.
Proven expertise with algorithms, distributed systems design and the software development lifecycle.
Experience in design hybrid cloud applications with considerations of load balancing, network infrastructure and micro services architecture.
Proven ability to work effectively with remote teams.

💡 Responsibilities

Lead Agentic AI solutions including sophisticated AI agents and fine tuning & integrating with models
Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies. Scalability, accuracy and reliability will be key success criteria.
Collaborate with enterprise teams to integrate LLM models and deliver on committed roadmaps.
Mentor team members to build and grow expertise in this domain.
Define benchmarks with metrics to evaluate the performance of agents and Agentic frameworks
Stay up to date with the latest advancements in AI, LLM, Agentic frameworks and apply this knowledge to improve existing systems and develop new ones
Tackle highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions aligned with technical vision and business objectives
Trouble shoot, isolate and fix issues found during various stages of software development including production.
Leverage advanced technology experience to further organizations tactical and strategic business objectives
Act as an advisor to leadership to influence AI development strategies

AWS Backend Development Docker Leadership PostgreSQL Python SQL Artificial Intelligence Cloud Computing Cybersecurity Data Analysis Java Keras Kubernetes Machine Learning Numpy PyTorch Software Architecture Algorithms API testing Data science Data Structures Go Serverless Pandas Spark Tensorflow Communication Skills CI/CD RESTful APIs Mentoring DevOps Microservices Scala SaaS

Posted 5 days ago

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🔥 Machine Learning Engineer

Posted 8 days ago

📍 United States, Canada

🧭 Full-Time

💸 70168.0 - 176880.0 USD per year

🔍 Video Gaming

🏢 Company: thatgamecompany👥 101-250💰 about 3 years agoDeveloper Tools Video Games Console Games Family MMO Games Social Network Mobile Online Games

🔧 Requirements

3+ Years of Experience in applied Data Science or Machine Learning
Knowledge of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Anomaly Detection) and the ability to identify the most suitable solution for the problem
Experience building and deploying complex and scalable machine learning models in production environments, ideally in Kubernetes
Experience writing clean, efficient code in Python, Java, or Scala
Experience writing optimized SQL Queries to build and analyze datasets

💡 Responsibilities

Complete a project from start to finish. That includes requirements gathering, experimentation, model development, deployment, monitoring, documentation, support, and communication

Python SQL Data Analysis ETL GCP Kubernetes Machine Learning Numpy Algorithms Data science Data Structures REST API Pandas Spark Tensorflow Communication Skills CI/CD Problem Solving Scala Data visualization

Posted 8 days ago

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🔥 Staff, Machine Learning Engineer (L4)

Posted 10 days ago

📍 Canada

💸 172800.0 - 216000.0 CAD per year

🔍 Software Development

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity over 3 years ago🫂 Last layoff over 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

5+ years of applied ML engineering experience
Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions

💡 Responsibilities

Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & Gen AI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sage maker, Lambda, S3, Kendra), MySQL, Air table, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zen desk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative Gen AI use cases and solutions

AWS Python SQL Apache Airflow Data Analysis Data Mining Keras Machine Learning MLFlow MySQL Numpy Algorithms API testing Data science REST API Pandas Tensorflow

Posted 10 days ago

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🔥 (Senior to Principal) Machine Learning Solutions Architect

Posted 17 days ago

📍 United States, Canada

🧭 Full-Time

💸 225000.0 - 280000.0 USD per year

🔍 Software Development

🏢 Company: Gretel👥 51-100💰 $52,199,996 Series B over 3 years agoArtificial Intelligence (AI)Data Collection and Labeling Machine Learning Privacy Generative AI Information Technology Software

🔧 Requirements

5+ years of experience in a technical customer-facing role serving Enterprise customers and showcasing a track record of successful technical sales scoping, design, and implementation.
3+ years of experience working with modern machine learning frameworks and deep learning models, including fluency in Python, utilizing Colab or Jupyter notebooks, and working with open-source libraries, such as Pandas.
Experience working with data pipelines and orchestration / tooling for the modern data stack.
Previous hands on engineering experience in Data Engineering and MLOps.
Experience deploying ML models and required infrastructure set up, including Kubernetes (Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), and Azure Kubernetes Services (AKS)), containers, and CI/CD.
Exceptional presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Ability to prioritize and manage multiple projects at once, across different customers with different use cases.
Willingness to travel occasionally (up to 20%) for customer meetings, conferences, and industry events, as needed.

💡 Responsibilities

Build custom prototypes and product demos utilizing Colab/Jupyter notebooks and Python libraries that highlight end-to-end operationalized use cases of Gretel.
Lead and support customers in identifying use cases, scoping, and, partnering with the broader team to ensure the successful deployment of solutions tailored to meet their specific business use cases.
Be the voice of the customer, communicating back experimental results and empirical experience gained from the field and critical for our internal applied science research.
Proactively identify opportunities in our product based on trends identified across customer needs, and build solutions to address these emerging patterns.
Conduct and guide research in the field, working with our most pioneering customers to advance what is possible with our platform.
Lead technical discovery during the sales lifecycle to deeply understand prospects’ ML and engineering requirements.
Partner with the account teams to differentiate proposed approaches versus open source and competitive solutions.
Stay up-to-date with industry trends, best practices, and advancements in generative AI, data privacy, and cloud infrastructure.
Exhibit a customer-focused mindset by prioritizing client needs, fostering strong relationships, and delivering exceptional service to ensure customer satisfaction and success.

Docker Python SQL AWS EKS Keras Kubernetes Machine Learning Numpy OpenCV PyTorch Algorithms Data engineering REST API Pandas Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving Customer service Attention to detail Presentation skills Active listening Data visualization Data modeling

Posted 17 days ago

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🔥 (Senior to Principal) Applied Scientist

Posted 17 days ago

📍 United States, Canada

🧭 Full-Time

💸 180000.0 - 250000.0 USD per year

🔍 Software Development

🔧 Requirements

M.S. or PhD in Computer Science, related technical field, or equivalent practical experience.
3+ years of industry experience in building, training, and fine-tuning Machine Learning models, including defining, vetting, and iterating on metrics and running online controlled experiments (A/B testing, interleaving).
A track record of applied research in AI/ML, as demonstrated by leading research projects, conference presentations, in-depth blog posts, or first author publications.
Profound experience and understanding across advanced models, such as Transformers, LSTMs, GANs, CNNs, and diffusion models.
Extensive experience with ML frameworks such as TensorFlow, HuggingFace, PyTorch, Keras, OpenCV, Fairlearn, or MLflow and Python libraries like Pandas
Programming experience in Python and experience with Cloud providers such as AWS, GCP, and Azure
Builder Mindset - you’ve contributed to open source projects and/or have built your own model, tool, or product.
Excellent communication skills – you will interact with customers and/or assist with community-related events, so we’re extra mindful about verbal and written communication.

💡 Responsibilities

Explore new applications and techniques within language modeling and generative models for multiple modalities, improving synthetic tabular data generation algorithms, ethical/fair AI, and privacy enhancing technologies.
Actively collaborate with engineering, sales engineering/solutions architects, product, sales, and marketing as a part of the customer-feedback loop to better understand our end-users and use cases to design and build more effective and efficient solutions.
Research, design, and build end-to-end reusable, scalable solutions for our customers and users.
Partner with the sales engineering teams on building complex customer solutions; identify and escalate problems to engineering and support teams.
Plan, build, and facilitate industry-specific use cases, including content creation in the form of workshops, webinars, technical blogs, whitepapers and developer community engagement.
Stay abreast of developments in AI, actively sharing and trying out new approaches.
Mentor colleagues and promote a culture of knowledge sharing.

AWS Python Artificial Intelligence Cloud Computing Data Analysis Differential Equations GCP Git Image Processing Keras Machine Learning MLFlow Numpy OpenCV PyTorch Algorithms API testing Azure Data Structures REST API Pandas Tensorflow Communication Skills Analytical Skills Collaboration Attention to detail Excellent communication skills Research A/B testing

Posted 17 days ago

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🔥 Head of AI Engineering

Posted 21 days ago

📍 United States

🧭 Full-Time

💸 185000.0 - 300000.0 USD per year

🔍 AI/ML

🏢 Company: CompScience👥 11-50💰 $10,000,000 Series A over 1 year agoArtificial Intelligence (AI)Computer Vision Industrial Internet of Things Machine Learning InsurTech Insurance Commercial Insurance Software

🔧 Requirements

PhD or MS in AI, Computer Vision, Machine Learning, or a related field, coupled with 8+ years of industry experience in AI/ML, including a strong background in both Convolutional Neural Networks (CNNs) and Large Language Models (LLMs).
Proven expertise in computer vision models (e.g., YOLO, EfficientNet, etc.) and LLMs (e.g., GPT, LLaMA, Claude, Gemini), including experience with fine-tuning techniques for both.
Strong programming skills in Python and hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and libraries (Hugging Face Transformers).
Hands-on experience in developing and deploying multi-modal AI systems that integrate text, vision, and structured data (at work or at home).
Knowledge of edge AI techniques, real-time inference, and low-latency model optimization.

💡 Responsibilities

Proven leadership in defining and executing a comprehensive AI strategy, including roadmap development and successful integration of AI solutions into core product offerings.
Extensive experience architecting and developing compound AI systems, specifically combining Computer Vision (CNNs) and Large Language Models (LLMs) to extract insights from both structured and unstructured data sources.
Deep expertise in AI model design, training, and optimization, including hands-on experience with real-time video analysis using CNNs and fine-tuning LLMs for domain-specific applications (e.g., safety intelligence, risk assessment).
Demonstrated ability to design and deploy scalable AI architectures across diverse environments, including on-premise, edge devices, and cloud platforms, with a strong understanding of MLOps principles and practices.
Experience building and leading MLOps & AI Infrastructure, building pipelines, implementing AI model monitoring, and integrating continuous learning to improve AI accuracy and efficiency.
Strong track record of cross-functional collaboration, with proven ability to work effectively with engineering, product, and data science teams to deliver AI-driven solutions, while ensuring compliance with relevant regulatory and ethical AI standards.

AWS Docker Leadership Project Management Python SQL Artificial Intelligence Data Analysis GCP Image Processing Kubernetes Machine Learning Numpy PyTorch Cross-functional Team Leadership Product Development Algorithms Data Structures REST API Strategic Management Tensorflow CI/CD JSON Risk Management Team management Data modeling Software Engineering

Posted 21 days ago

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🔥 Data Scientist II

Posted 21 days ago

📍 US

🧭 Regular

💸 178689.0 - 232988.0 USD per year

🔍 Software Development

🏢 Company: Pinterest Job Advertisements

🔧 Requirements

Master’s degree (or its foreign degree equivalent) in Data Science, Computer Science, Engineering (any field), or closely related quantitative discipline and one (1) year of experience in the job offered or in any occupation in related field.
Python
Sklearn
Pandas
Numpy
R
SQL
A/B Testing
Data Visualization
Regression Testing
Exploratory Data Analysis

💡 Responsibilities

Develop best practices for instrumentation and experimentation and communicate those to EPD (Engineering, Product, and Design) teams.
Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our users.
Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development.
Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
Influence and evolve our product roadmap to help us fulfil our mission.
Produce inspiration to create a life consumers love.
Research data and exploratory analysis to understand user behavior and trends.
Identify opportunities for product innovation.
Telecommuting is permitted.

Python SQL Data Analysis Data Mining ETL Machine Learning Numpy Algorithms Data Structures Regression testing Pandas Data visualization Data modeling A/B testing

Posted 21 days ago

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Shown 10 out of 42

Numpy Job Salaries

Median high-range salary for jobs requiring Numpy:

Skills and Salary

Algorithms

Data Analysis

Tensorflow

PyTorch

Data science

Machine Learning

Python

SQL

Pandas

Industries and Salary

Finance

AI/ML

Software Development

3D technology, Mixed-reality experiences

Artificial Intelligence

Cybersecurity

Autonomous vehicle technology

AI and Quantum technology

Mental Health

Artificial Intelligence / Natural Language Processing

Jobs