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:

$190,000

This analysis is based on salary ranges collected from 44 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 $145,000 - $190,000

25% of job descriptions advertised a maximum salary above $215,000.
5% of job descriptions advertised a maximum salary above $304,500.

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 Data science, Python and Numpy. 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.

Data science
48% jobs mention Data science 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 $214,100.
- 5% of job descriptions advertised a maximum salary above $250,000.
Python
98% jobs mention Python as a required skill. The Median Salary Range for these jobs is $150,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $215,000.
- 5% of job descriptions advertised a maximum salary above $305,250.
Numpy
66% jobs mention Numpy as a required skill. The Median Salary Range for these jobs is $140,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $213,350.
- 5% of job descriptions advertised a maximum salary above $304,250.
Collaboration
61% jobs mention Collaboration as a required skill. The Median Salary Range for these jobs is $140,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $212,100.
- 5% of job descriptions advertised a maximum salary above $250,000.
Communication Skills
52% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $140,000 - $170,000
- 25% of job descriptions advertised a maximum salary above $207,425.
- 5% of job descriptions advertised a maximum salary above $230,500.
Analytical Skills
36% jobs mention Analytical Skills as a required skill. The Median Salary Range for these jobs is $130,000 - $168,000
- 25% of job descriptions advertised a maximum salary above $206,950.
- 5% of job descriptions advertised a maximum salary above $285,000.
Machine Learning
57% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $140,000 - $166,000
- 25% of job descriptions advertised a maximum salary above $213,350.
- 5% of job descriptions advertised a maximum salary above $266,250.
SQL
57% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $130,000 - $160,000
- 25% of job descriptions advertised a maximum salary above $211,250.
- 5% of job descriptions advertised a maximum salary above $283,750.
Data Analysis
45% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $117,000 - $159,500
- 25% of job descriptions advertised a maximum salary above $206,000.
- 5% of job descriptions advertised a maximum salary above $275,000.

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 AI, Machine Learning. 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
5% jobs are in Finance industry. The Median Salary Range for these jobs is $217,500 - $342,500
- 25% of job descriptions advertised a maximum salary above $385,000.
Artificial Intelligence
2% jobs are in Artificial Intelligence 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
E-Commerce
5% 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
Healthcare
9% jobs are in Healthcare industry. The Median Salary Range for these jobs is $170,000 - $207,500
- 25% of job descriptions advertised a maximum salary above $217,500.
- 5% of job descriptions advertised a maximum salary above $220,000.
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
Cybersecurity
7% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $100,000 - $120,000
- 25% of job descriptions advertised a maximum salary above $172,500.
- 5% of job descriptions advertised a maximum salary above $190,000.
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

64 jobs found. to receive daily emails with new job openings that match your preferences.

64 jobs found.

Set alerts to receive daily emails with new job openings that match your preferences.

Apply

🔥 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

Apply

🔥 Data Developer

Posted 11 days ago

📍 United States

🧭 Full-Time

💸 110000.0 - 130000.0 USD per year

🔍 Healthcare

🏢 Company: Wider Circle

Degree in Computer Science, Mathematics, Statistics, Data Science, or equivalent education or work experience.
3+ years of experience with Python, with demonstrated mastery of pandas for data manipulation and analysis.
3+ years of experience with SQL.
Experience with Git and version control systems.
Familiarity with data visualization tools.
Strong knowledge of data analysis, manipulation, and visualization techniques.
Self-motivated with the ability to independently manage and prioritize tasks in a remote environment.
Excellent communication skills for presenting findings to both technical and non-technical audiences.
A creative mindset and a strong work ethic.

Collaborate with stakeholders to define requirements and execute projects from start to finish.
Develop and optimize Python and SQL scripts for data processing, analysis, and automation.
Assist in creating, maintaining, and enhancing data marts to support analytics and reporting.
Perform quality assurance (QA) to ensure accuracy and consistency in datasets and processes.
Validate client-provided data for quality, completeness, and integrity.
Implement robust testing and validation frameworks to ensure data quality.
Create impactful data visualizations and reports for internal stakeholders, including marketing and sales teams.
Automate recurring workflows to improve efficiency and accuracy.
Actively contribute ideas during team discussions and propose innovative projects to add value to the organization.

Python SQL Data Analysis Git Pandas Data visualization

Posted 11 days ago

Apply

🔥 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

Apply

🔥 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

Apply

🔥 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

Apply

🔥 Senior Data Engineer

Posted 15 days ago

📍 USA

🧭 Full-Time

💸 190000.0 - 220000.0 USD per year

🔍 B2B data / Data as a Service (DaaS)

🏢 Company: People Data Labs👥 101-250💰 $45,000,000 Series B about 3 years agoDatabase Artificial Intelligence (AI)Developer APIs Machine Learning Analytics B2B Software

5-7+ years industry experience with strategic technical problem-solving.
Strong software development fundamentals.
Experience with Python.
Expertise in Apache Spark (Java, Scala, or Python-based).
Proficiency in SQL.
Experience building scalable data processing systems.
Familiarity with data pipeline orchestration tools (e.g., Airflow, dbt).
Knowledge of modern data design and storage patterns.
Experience working in Databricks.
Familiarity with cloud computing services (e.g., AWS, GCP, Azure).
Experience in data warehousing technologies.
Understanding of modern data storage formats and tools.

Build infrastructure for ingestion, transformation, and loading of data using Spark, SQL, AWS, and Databricks.
Create an entity resolution framework for merging billions of entities into clean datasets.
Develop CI/CD pipelines and anomaly detection systems to enhance data quality.
Provide solutions to undefined data engineering problems.
Assist Engineering and Product teams with data-related technical issues.

AWS Python SQL Kafka Airflow Data engineering Pandas CI/CD

Posted 15 days ago

Apply

🔥 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

Apply

🔥 Lead Engineer, Ad Product (100% Remote, Anywhere in USA)

Posted 17 days ago

📍 USA

🧭 Full-Time

💸 150000.0 - 190000.0 USD per year

🔍 Personal finance and advertising technology

6-8+ years in ad tech or digital advertising, with at least 2 years in a leadership role.
1-2+ years of hands-on Python experience (e.g., Flask, Django, Pandas).
Strong background in ad server architecture, data tracking, ad performance metrics, and data pipeline management.
Experience with native advertising, ad creative flexibility, and ad data tracking.
Proven ability to prioritize projects and deliver results on time.
Strong leadership and communication skills, promoting collaboration within teams.
Commitment to Agile processes and methodologies.
Passion for staying on top of tech trends and mentoring other team members.

Lead the team in creating and maintaining ad products that drive sales and revenue, including custom ad creatives and API feed distribution.
Design flexible ad features and payout types to expand business opportunities while ensuring technical feasibility across client needs.
Oversee the development and maintenance of data solutions that support advertiser operations, including tracking and onboarding processes.

Leadership Node.js PHP Python Agile Django Flask Javascript MySQL Product Development Pandas Communication Skills Collaboration Mentoring

Posted 17 days ago

Apply

🔥 Data Analyst

Posted 19 days ago

📍 United States

🧭 Full-Time

💸 97000 USD per year

🔍 Criminal Justice

🏢 Company: Recidiviz👥 51-100💰 Seed almost 3 years agoCloud Data Services Legal Tech Non Profit CivicTech Analytics Software Engineering Information Technology Legal Software

3 or more years of professional experience exploring, analyzing, and processing complex datasets.
Strong communication and collaboration skills.
Enthusiasm for working with diverse internal and external partners.
Ability to inspect source data and prepare usable analyses.
Professional experience using SQL for large datasets and writing efficient queries.
High familiarity with Python, particularly the Pandas package.

Exploring our datasets to find new insights about American criminal justice systems.
Contextualizing and communicating key findings to internal and external stakeholders.
Collaborating with State Engagement and Implementation Engineering teams to execute targeted roadmaps.
Working with Product Management, Data Science, and Software Engineering teams to bring analyses into production.

Python SQL Product Management Data science Pandas Collaboration Attention to detail

Posted 19 days ago

Apply

🔥 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

Apply

Shown 10 out of 64

Pandas Job Salaries

Median high-range salary for jobs requiring Pandas:

Skills and Salary

Data science

Python

Numpy

Collaboration

Communication Skills

Analytical Skills

Machine Learning

SQL

Data Analysis

Industries and Salary

Finance

Artificial Intelligence

AI, Machine Learning

E-Commerce

AI and Quantum technology

Healthcare

Public Health

AgTech

Cybersecurity

Artificial Intelligence / Natural Language Processing

Jobs

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities