Skill
Pandas
Data Science, Analytics and AI/ML
Pandas is an open-source Python library providing fast, flexible data structures (DataFrame and Series) for cleaning, transforming, and analyzing structured/tabular data. It is a core tool for data analysts, scientists, and engineers doing data wrangling, statistics, and preprocessing before modeling or visualization.
Pandas in the job market
Last checked October 28, 2026
- Open roles
- 45
- Employers
- 25
- Median pay
- $195,000
- Disclose pay
- 64%
on Career App
hiring for it
from 29 roles
of these roles
Open roles requiring Pandas (45)
On-Call Maintenance Specialist, Data Science - Contract Role (India)
Udacity
Contract · Remote
This role maintains and updates Udacity's data science course content by identifying performance issues, fixing bugs in code and exercises, and ensuring compatibility with current tools and cloud platforms. It suits experienced data professionals who enjoy technical documentation and troubleshooting across multiple technologies in an on-call contractor capacity.
Listed on Udacity’s careers site · Apply there ↗
Data Scientist, Strategic Partner Analytics
Ibotta
Full-time · Denver, CO · $110,000 – $130,000 · Remote
This role owns end-to-end uplift modeling for Ibotta's customer retention programs, from stakeholder collaboration through production deployment and monitoring. It's ideal for someone with 2+ years of data science experience who wants to balance technical depth in machine learning with cross-functional impact on marketing strategy.
Listed on Ibotta’s careers site · Apply there ↗
Senior Staff Data Scientist
Intuit
Mountain View, CA · $210,500 – $284,500
Intuit is seeking a founding Senior Staff Data Scientist to lead data strategy for a new fintech product focused on helping small businesses manage cash flow and payments. You'll develop predictive models, design experiments, and drive growth insights that directly shape product decisions for millions of SMB customers.
Listed on Intuit’s careers site · Apply there ↗
Software Engineer, II - Data Engineering
Torc Robotics
Full-time · Ann Arbor, MI · $139,000 – $166,800
This role builds data pipelines and scalable storage systems for autonomous vehicle fleets using AWS and modern data tools. It suits engineers with cloud infrastructure and Linux experience who want to work on data problems at the scale of machine learning training for self-driving trucks.
Listed on Torc Robotics’s careers site · Apply there ↗
Staff Data Scientist - Content Growth & Creator Strategy
Nextdoor
Full-time · US Remote · $190,000 – $283,000
Nextdoor seeks a Staff Data Scientist to lead analytics for emerging content surfaces like Video, Groups, and Events, designing experiments, building data infrastructure, and applying sophisticated causal inference methods to drive product strategy. This role suits experienced data scientists with strong statistical foundations and the ability to own end-to-end analyses while collaborating across product, engineering, and research teams in a hybrid environment.
Listed on Nextdoor’s careers site · Apply there ↗
Staff Data Scientist (Insurance Tech)
Plug n Play Portfolio
New York, NY · $250,000
Staff Data Scientist role leading analytics initiatives for an insurance-tech company focused on workers' compensation. You'll partner with engineering and product teams to design experiments, analyze claims data, build dashboards, and translate complex analyses into business-critical recommendations that shape product strategy and ROI.
Listed on Plug n Play Portfolio’s careers site · Apply there ↗
Head of Applied Machine Learning (ML)
SentiLink
Full-time · United States · $210,000 – $260,000 · Remote
Lead a team of applied ML scientists building fraud detection and identity verification models for a growing fintech company serving major US banks. This role is ideal for an experienced manager who stays deeply technical, comfortable owning the full ML lifecycle from data strategy through production deployment and eager to shape both product direction and AI safety practices.
Listed on SentiLink’s careers site · Apply there ↗
Senior Data Scientist
Pepperidge Farm
Full-time · Camden, NJ · $109,400 – $150,400
Campbell's is seeking a hands-on senior data scientist to build and deploy machine learning and statistical models that drive business impact across supply chain, marketing, finance, and R&D. The role combines individual technical contribution with mentorship of junior team members and collaboration with cross-functional stakeholders to translate complex data challenges into production-ready analytics products.
Listed on Pepperidge Farm’s careers site · Apply there ↗
Machine Learning Engineer
Moody's Corporation
Full-time · Chicago, IL · $95,500 – $138,550
This role develops machine learning and computer vision solutions for Moody's property intelligence platform, working with geospatial imagery to help organizations assess climate and economic risks. It suits engineers with 2+ years of ML experience who want to apply deep learning and AI governance expertise to real-world risk assessment problems at scale.
Listed on Moody's Corporation’s careers site · Apply there ↗
Senior Data Scientist – Payload & SAT-RAN
AST SpaceMobile
Lanham, MD
This role builds and deploys data models and analytics systems that monitor satellite-cellular network performance across payload, gateway, and RAN subsystems. It suits experienced data scientists with production ML chops and ideally some telecom or satellite systems background who want to translate complex multi-domain telemetry into operational insights for a global space-based broadband network.
Listed on AST SpaceMobile’s careers site · Apply there ↗
Asked for alongside Pandas
Measured from the 45 open roles that name Pandas — not from a curated list.
- Python45 roles100.0%
- SQL28 roles62.2%
- scikit-learn24 roles53.3%
- NumPy20 roles44.4%
- Amazon Web Services (AWS)13 roles28.9%
- PyTorch13 roles28.9%
- Machine Learning12 roles26.7%
- TensorFlow10 roles22.2%
What employers state they pay
Median
$195,000
Middle half
$164,000 – $235,000
From 29 of 45 open roles — the 64% that publish a range, annualized to USD. Only some employers state pay, and the ones that do skew to California and New York, where the law requires it.
Who employers are hiring
- Entry6%
- Mid19%
- Senior50%
- Lead / Staff / Principal17%
- Management8%
From 36 roles whose posting states a level.
Where Pandas roles are
Among the 31 of 45 open roles we could place on a map.
Roles that use Pandas
Employers hiring for Pandas
25 in total, most open roles first.
Torc Robotics5 roles- PPPlug n Play Portfolio4 roles
- CCohere3 roles
- Intuit3 roles
- SSentiLink3 roles
- UUdacity3 roles
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.