Pandas Job Salaries

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

Pandas

Median high-range salary for jobs requiring Pandas:

$206,950

This analysis is based on salary ranges collected from 52 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 - $206,950

25% of job descriptions advertised a maximum salary above $244,100.
5% of job descriptions advertised a maximum salary above $303,510.

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 Communication Skills, Machine Learning and Algorithms. 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.

Communication Skills
37% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $169,000 - $223,285
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $293,145.
Machine Learning
69% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $170,000 - $221,642.5
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $311,670.
Algorithms
50% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $169,000 - $221,642.5
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $306,120.
Data Analysis
44% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $160,000 - $220,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $301,365.
Data modeling
40% jobs mention Data modeling as a required skill. The Median Salary Range for these jobs is $169,000 - $220,000
- 25% of job descriptions advertised a maximum salary above $254,275.
- 5% of job descriptions advertised a maximum salary above $308,895.
Numpy
67% jobs mention Numpy as a required skill. The Median Salary Range for these jobs is $163,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $302,925.
Data science
44% jobs mention Data science as a required skill. The Median Salary Range for these jobs is $160,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $248,550.
- 5% of job descriptions advertised a maximum salary above $287,065.
Python
100% jobs mention Python as a required skill. The Median Salary Range for these jobs is $160,000 - $206,950
- 25% of job descriptions advertised a maximum salary above $244,100.
- 5% of job descriptions advertised a maximum salary above $303,510.
SQL
71% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $160,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $236,250.
- 5% of job descriptions advertised a maximum salary above $295,535.

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 Artificial Intelligence, Software Development and Consumer Data Science. 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.

Artificial Intelligence
2% jobs are in Artificial Intelligence industry. The Median Salary Range for these jobs is $180,000 - $250,000
Software Development
21% jobs are in Software Development industry. The Median Salary Range for these jobs is $178,689 - $232,988
- 25% of job descriptions advertised a maximum salary above $248,550.
- 5% of job descriptions advertised a maximum salary above $302,705.
Consumer Data Science
2% jobs are in Consumer Data Science industry. The Median Salary Range for these jobs is $135,910 - $223,285
Autonomous vehicle technology
2% jobs are in Autonomous vehicle technology industry. The Median Salary Range for these jobs is $177,300 - $212,800
E-Commerce
4% jobs are in E-Commerce industry. The Median Salary Range for these jobs is $187,500 - $212,500
- 25% of job descriptions advertised a maximum salary above $315,000.
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
Cybersecurity
6% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $163,000 - $195,000
- 25% of job descriptions advertised a maximum salary above $210,000.
- 5% of job descriptions advertised a maximum salary above $215,000.
Healthcare
8% jobs are in Healthcare industry. The Median Salary Range for these jobs is $120,000 - $145,000
- 25% of job descriptions advertised a maximum salary above $185,000.
- 5% of job descriptions advertised a maximum salary above $200,000.
Biomedical and bioinformatics
2% jobs are in Biomedical and bioinformatics industry. The Median Salary Range for these jobs is $125,000 - $145,000
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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🔥 Cloud Data Engineer (Mid-Level) - (25031301)

Posted about 5 hours ago

📍 United States

🧭 Contract

💸 91520.0 - 120000.0 USD per year

🏢 Company: Third Eye Software👥 11-50 Consulting Information Technology Recruiting Software

🔧 Requirements

3+ years of experience in data engineering
Advanced expertise in SQL
Experience with Google Cloud Platform (GCP)
Hands-on experience with ETL/ELT processes and data pipeline development
Proficiency in Python

💡 Responsibilities

NOT STATED

Python SQL ETL GCP Jenkins Numpy Data engineering Pandas

Posted about 5 hours ago

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🔥 Senior Cloud Engineer, ML Platform

Posted about 16 hours ago

📍 United States

🧭 Full-Time

💸 160000.0 - 200000.0 USD per year

🔍 Software Development

🏢 Company: GameChanger

🔧 Requirements

4+ years of hands-on cloud engineering experience with a focus on scaling ML/AI infrastructure in high-throughput, real-time environments.
Proficiency in Infrastructure-as-Code (Terraform, CloudFormation, or equivalent) to automate cloud infrastructure for ML systems.
Deep knowledge of AWS services, patterns and best practices for resiliency, scalability, and security.
Hands-on experience with container orchestration (e.g., Kubernetes, ECS) with a focus on solving real-world scalability challenges.

💡 Responsibilities

Architect and scale cloud-based infrastructure purpose-built for real-time and batch ML workloads, ensuring system efficiency and reliability.
Design model-serving infrastructure to handle high-throughput inference workloads, model versioning, and multi-model interactions.
Design observability strategies, ensuring model performance, system reliability, and infrastructure health are continuously monitored.
Collaborate with ML/DevOps/Backend/Security Engineers on projects, integrating new tools, improving deployment speeds, scalability, and resiliency to support their evolving roadmaps.

AWS Docker Python Apache Airflow Cloud Computing Git Keras Kubernetes Machine Learning MLFlow Numpy Algorithms API testing Data engineering Data Structures REST API Serverless Pandas Spark Tensorflow CI/CD Linux Terraform Microservices JSON

Posted about 16 hours ago

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🔥 Engineering Manager, Machine Learning

Posted 2 days ago

📍 United States

🧭 Full-Time

💸 185000.0 - 220000.0 USD per year

🔍 Software Development

🏢 Company: WellSaid

🔧 Requirements

5+ years of experience managing a software engineering team and a proven track record.
2+ years of experience using Cloud platforms (GCP, AWS, etc),
Background in Machine learning frameworks (such as PyTorch), and data processing tools (Spark, Pandas, etc.) are a big bonus but not mandatory.
You are proficient in software development practices, including specing, documenting, testing, reviewing, deploying, and monitoring, and are passionate about writing clean, defensible code.
Excellent communication and collaboration skills to work effectively with cross-functional teams, including software engineers, data engineers, product managers, execs, and other stakeholders.
You are flexible and capable of working with a diverse team with various communication styles and needs. You are empathic and supportive.
You create equitable processes across the entire employee lifecycle. You are particularly mindful of addressing the needs of marginalized people.
Experience in text-to-speech, speech-to-text, audio libraries, or cloud storage is a bonus.

💡 Responsibilities

Build and lead a high-performing and collaborative machine learning team, fostering an environment of innovation, growth, and accountability.
Collaborate with Product Management and other stakeholders to define, prioritize, and deliver the ML roadmap, aligning it with business goals and technical feasibility.
Ensure that complex projects are effectively scoped, planned, executed, and delivered on time while meeting cross-team quality standards.
Oversee multiple concurrent machine learning projects simultaneously, facilitating planning, and generally ensuring that deliverables are met on time.
Own and run team standups, sprint planning, and other delivery ceremonies.
Work one-on-one with team members to meet their needs, providing regular and constructive feedback. You’ll show concern and success for the well-being of others and do what you can to support people.
Conduct design, code and pull request reviews with the team.
Champion best practices in machine learning and software engineering including testing, documentation, readability, defensibility, etc.
Manage team resources effectively by prioritizing projects based on impact while balancing budget constraints for infrastructure (e.g., compute resources) or tooling needs.
Foster customer empathy within the team by introducing real-world use cases, facilitating discussions on customer pain points, reviewing feedback loops, and ensuring alignment with user needs.
All together you’ll foster an inclusive team culture and working environment.

AWS Leadership Project Management Python Software Development SQL Agile Cloud Computing Data Analysis GCP Git Machine Learning People Management Product Management PyTorch SCRUM Software Architecture Algorithms Data engineering Data Structures Pandas Spark Communication Skills CI/CD RESTful APIs Mentoring Team management Data modeling Debugging

Posted 2 days ago

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🔥 Staff Machine Learning Engineer

Posted 3 days ago

🧭 Full-Time

💸 185000.0 - 315000.0 USD per year

🔍 Financial Operations

🏢 Company: Ramp👥 501-1000💰 $150,000,000 Series D 11 months agoFinancial Services Finance FinTech

🔧 Requirements

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and back end engineering
Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
Strong knowledge of SQL (preferably Snowflake, BigQuery)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

💡 Responsibilities

Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
Prototype and productionalize machine learning models and rules-based systems to protect user accounts
Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Backend Development Python SQL Machine Learning Numpy PyTorch Snowflake Data engineering Pandas Data modeling Software Engineering

Posted 3 days ago

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🔥 Backend Data Developer - Scraping & Conversión de Java a Python

Posted 3 days ago

📍 Argentina, Colombia, Peru, Bolivia, Plurinational State of, Mexico

🧭 Contract

💸 2300.0 - 2500.0 USD per month

🔍 Software Development

🏢 Company: Workana

🔧 Requirements

Experience with Selenium, Puppeteer or Playwright.
Experience with Java (Spring Boot, Jsoup, HttpClient) and Python (Scrapy, Selenium, Playwright, FastAPI).
Experience with pandas and NumPy.
Knowledge in SQL databases (PostgreSQL, MySQL, SQL Server).
Implementation of scrapers in scalable environments with Docker and Kubernetes.
Deployment in AWS or GCP.

💡 Responsibilities

Development and maintenance of scrapers for extracting data from web portals.
Refactorization and optimization of legacy scrapers in Java towards Python.
Implementation of more efficient architectures to improve performance.

AWS Backend Development Docker GraphQL PostgreSQL Python SQL Apache Airflow ETL GCP Java Java EE Kubernetes MySQL Numpy Spring Boot Data engineering FastAPI REST API Pandas Selenium CI/CD Microservices JSON Data management

Posted 3 days ago

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🔥 Senior Data Scientist

Posted 4 days ago

📍 Worldwide

💸 90000.0 - 160000.0 USD per year

🔍 Software Development

🏢 Company: Automattic Careers

🔧 Requirements

5+ years of experience in data science, analytics, or a related role within a tech company, preferably SaaS, working with large-scale, complex, product-focused data sets to drive measurable business impact.
Strong expertise in experimentation, statistical analysis (e.g., hypothesis testing, t-tests, regression analysis, time series analysis, bootstrapping), machine learning, and predictive modeling.
Proficiency in Python and key data science libraries, including Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.
Fluency using distributed SQL query engines like Hive, Presto, or Trino.
Familiarity with big data technologies (e.g., Hadoop, Spark).

💡 Responsibilities

Employ technical expertise in quantitative analysis, advanced statistics, experimentation, and data mining to develop data-driven strategies for products that democratize publishing and commerce.
Proactively identify, define, and test opportunities and levers to enhance the product, ensuring data-driven decision-making that drives measurable business and customer impact. Translate insights into actionable recommendations that influence roadmaps and strategic investments.
Contribute to the development and implementation of advanced data analysis techniques and statistical models across multiple business units.
Design and drive company-wide data initiatives, shaping the direction of data analytics and insights to support strategic decisions.
Mentor and guide data scientists and analysts.
Partner with Growth, Product, Engineering, Design, and senior leadership to inform, influence, and execute product and growth strategies, leveraging key insights to drive measurable, company-wide impact.
Communicate complex strategic insights and recommendations to non-technical stakeholders, facilitating data-driven decision-making at the highest levels of the company.

Python SQL Data Mining Hadoop Machine Learning Numpy Data science Pandas Spark Data visualization Data modeling A/B testing

Posted 4 days ago

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🔥 Computational Chemist, Drug Discovery

Posted 9 days ago

📍 USA

🧭 Full-Time

💸 142000.0 - 199000.0 USD per year

🔍 Drug Discovery

🏢 Company: SandboxAQ👥 101-250💰 $25,000,000 Grant 5 months agoArtificial Intelligence (AI)SaaS Information Technology Cyber Security

🔧 Requirements

PhD in computational physics, computational chemistry, or a related discipline.
1-5 years of relevant experience, including hands-on experience with computational chemistry applied to drug discovery in biotech, pharma, or related industries.
A deep commitment to critical thinking—comfortable questioning methodologies, challenging assumptions, and refining approaches to improve predictive accuracy.
A collaborative mindset, working closely with colleagues to identify problems and communicate technical solutions clearly and effectively.
A hands-on mentality, eager to dive into complex problems and drive projects to completion.
Experience in structure-based drug design and familiarity with ligand-based drug design methods.
Experience with GPU-accelerated MD codes like OpenMM.
Proficiency in the Python data science stack (NumPy, Pandas, SciPy, etc.).
Familiarity with ligand-protein free energy of binding prediction methods such as Free Energy Perturbation (FEP) or similar.
Experience running computational chemistry/quantum simulations on high-performance computing (GPU) environments for corporate R&D, innovation labs, or academic research.
A passion for solving scientific problems in chemistry and biology through computational and data-driven methods, with a commitment to rigorous validation and scientific integrity.

💡 Responsibilities

Apply computational solutions to address unmet drug discovery challenges, questioning assumptions and rigorously validating results.
Work closely with the development team to enhance SandboxAQ’s unique technology and Large Quantitative Models (LQMs) for large-scale impact.
Apply SandboxAQ’s computational platform to provide high-value drug discovery solutions while critically evaluating its methodologies and results.
Translate insights from molecular dynamics, free energy perturbation, molecular docking, quantum, and ML methods into actionable, testable drug discovery hypotheses.
Collaborate closely with ML experts and cross-functional teams to prototype and scale innovative drug design solutions.
Develop and deploy computational methods and workflows to generate and evaluate hypotheses, guiding design decisions and influencing project direction.
Challenge conventional thinking by critically assessing and interpreting computational outputs, ensuring robust scientific conclusions.
Directly contribute to the discovery of innovative medicines by integrating computational chemistry techniques into multidisciplinary drug discovery teams.

Python Data Analysis Hadoop Machine Learning Numpy Algorithms Data Structures RDBMS REST API Pandas

Posted 9 days ago

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🔥 Director of Machine Learning

Posted 9 days ago

📍 United States

💸 220000.0 - 250000.0 USD per year

🔍 Machine Learning

🏢 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
Excellent communication and presentation skills, with the ability to explain complex ideas clearly and concisely
Proven ability to collaborate effectively in a cross-functional environment

💡 Responsibilities

Develop strategic goals for machine learning that are in sync with current industry trends and Inspiren’s business objectives. Provide guidance on resource distribution for projects and identify risks and opportunities within the machine learning landscape to inform decision-making.
Oversee the design of innovative machine learning models and algorithms, and refine existing ones to enhance performance and accuracy. Collaborate with cross-functional teams to successfully integrate these algorithms into our product offerings.
Mentor and nurture the professional growth of senior machine learning experts. Foster an environment that emphasizes continuous learning and innovation among the team.
Drive innovative research and development in machine learning to keep our technology at the forefront. Implement the latest machine learning technologies to enhance product capabilities and maintain competitive edge.

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

Posted 9 days ago

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🔥 Department of Informatics and Analytics, AI & Data Science (Computer Vision)

Posted 11 days ago

📍 United States

🧭 Internship

💸 30.0 USD per hour

🔍 AI & Data Science (Computer Vision)

🏢 Company: Dana-Farber Cancer Institute👥 5001-10000💰 $500,000 Grant 6 months agoCommunities Oncology Non Profit Hospital Health Care Health Diagnostics

🔧 Requirements

Currently enrolled in or completed a Master’s or PhD program in Computer Science, Data Science, AI, or a related field.
Strong programming proficiency in Python and familiarity with key ML/AI libraries (TensorFlow, PyTorch, NumPy, Pandas, etc.) and Hugging Face Transformers
Expertise in medical image processing techniques, including segmentation, classification, and radiomics, with a focus on developing AI models for clinical applications that ensure robustness, scalability, and generalizability across diverse imaging datasets.
Familiarity with large language models (LLMs), multimodal LLMs, and experience integrating them into AI workflows.
Strong understanding of AI agent frameworks (e.g., LangChain, AutoGen, Semantic Kernel) and autonomous AI-driven decision-making.
Hands-on experience with federated learning frameworks (e.g., NVIDIA FLARE, Flower, FedML), with a strong understanding of privacy preservation, client heterogeneity, communication efficiency, and secure aggregation in distributed AI systems.
Experience working with DICOM, CT scan data, and other complex medical imaging datasets.
Knowledge of SQL, cloud services (AWS, GCP, Azure), and version control (Git).

💡 Responsibilities

Contribute on high-impact healthcare projects in cancer research and clinical care.

AWS Python SQL Cloud Computing GCP Git Image Processing Machine Learning Numpy PyTorch Azure Data science Pandas Tensorflow

Posted 11 days ago

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🔥 Data Engineer (Temp-to-Hire)

Posted 11 days ago

📍 United States

🧭 Temporary

💸 45.0 - 60.0 USD per hour

🔍 Healthcare Technology

🏢 Company: Arine👥 101-250💰 $29,000,000 Series B over 2 years agoPharmaceutical Biotechnology Medical Health Care

🔧 Requirements

4+ years of professional experience working with data
Experience creating an automated ETL process using Python, Snowflake, and SQL
Experience with data processing, validation, cleaning, and debugging data sets
Experience with building production grade ETL pipelines
A demonstrable and deep understanding of healthcare / healthcare claims data
Experience with AWS frameworks (i.e. S3, DynamoDB, Batch, Step Functions)
Experience with processing large data sets (over 1GB)

💡 Responsibilities

Writing production level Python and Snowflake SQL for ETL pipelines
Writing and integrating data unit tests as part of the data pipelines' development and deployment
Using AWS services and technologies for application deployments to data APIs

AWS Python SQL DynamoDB ETL Snowflake Data engineering REST API Pandas Data modeling Debugging

Posted 11 days ago

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Shown 10 out of 62

Pandas Job Salaries

Median high-range salary for jobs requiring Pandas:

Skills and Salary

Communication Skills

Machine Learning

Algorithms

Data Analysis

Data modeling

Numpy

Data science

Python

SQL

Industries and Salary

Artificial Intelligence

Software Development

Consumer Data Science

Autonomous vehicle technology

E-Commerce

AI and Quantum technology

Cybersecurity

Healthcare

Biomedical and bioinformatics

Artificial Intelligence / Natural Language Processing

Jobs