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Python Pandas Remote Jobs in Atlanta, GA (NOW HIRING)

Principal Data Scientist

Atlanta, GA · On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston ... Proficiencyin Python (Pandas, NumPy, scikit-learn),strong SQL and database experience (NoSQLand ...

MO1-613-Senior Azure Cloud Engineer 11694-1

Atlanta, GA · Remote

$57 - $76.25/hr

100% Remote. Our direct client has an opening for a Senior Azure Cloud Engineer 11694-1 This ... PYTHON DEVELOPMENT EXPERIENCE INCLUDING PYSPARK, PANDAS, FLASK, PYTEST. • HANDS-ON EXPERIENCE ...

... in Python, including experience with common data science libraries such as pandas, NumPy, scikit ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Python Pandas Remote information

See Atlanta, GA salary details

$12

$56

$82

How much do python pandas remote jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for python pandas remote in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Pandas Remote Data Analyst, and why are they important?

To excel as a remote Python Pandas Data Analyst, you need strong proficiency in Python programming, advanced data manipulation skills with Pandas, and a solid understanding of statistics or data science principles, often backed by a relevant degree. Familiarity with tools like Jupyter Notebook, Git, SQL databases, and cloud data platforms is typically expected, along with certifications in data analysis or Python programming being advantageous. Excellent problem-solving, communication, and self-management skills help remote analysts collaborate effectively and deliver insights independently. These skills are vital for extracting and communicating actionable data insights while maintaining productivity and reliability in a remote work environment.

What are some common challenges faced by remote Python Pandas developers and how can they be addressed?

Remote Python Pandas developers often encounter challenges such as collaborating effectively with distributed teams, managing large datasets with limited local resources, and ensuring version control of data and code. To address these, it's helpful to establish clear communication channels (like Slack or Teams), utilize cloud-based data storage and computing platforms, and adopt collaborative tools like Git for code management. Regular virtual check-ins and thorough documentation also help maintain alignment and productivity in a remote setting.

What is the difference between Python Pandas Remote vs Data Analyst?

AspectPython Pandas RemoteData Analyst
Required SkillsPython, Pandas, SQL, data manipulationExcel, SQL, data visualization, basic programming
Work EnvironmentRemote, tech-focused companiesOffice or remote, various industries
CertificationsPython certifications, data analysis coursesData analysis, Excel, Tableau certifications
Industry UsageTech, finance, e-commerceFinance, marketing, healthcare

Python Pandas Remote roles focus on data manipulation using Python and Pandas, often in tech-driven environments. Data Analysts may use a broader set of tools like Excel and visualization software, working across various industries. While both roles involve data handling, Python Pandas Remote positions emphasize programming skills, whereas Data Analysts focus on interpreting data for business insights.

What are Python Pandas Remote jobs?

Python Pandas Remote jobs are positions that require expertise in the Pandas library, a powerful data analysis tool in Python, and allow employees to work from any location outside of a traditional office environment. These jobs often involve data cleaning, manipulation, and analysis tasks, with responsibilities ranging from building data pipelines to generating insights from large datasets. Remote Pandas roles are common in industries like finance, healthcare, technology, and research, where data-driven decisions are essential. They typically require strong programming skills, problem-solving ability, and experience with distributed team collaboration tools.
What are the most commonly searched types of Python Pandas jobs in Atlanta, GA? The most popular types of Python Pandas jobs in Atlanta, GA are:
What are popular job titles related to Python Pandas Remote jobs in Atlanta, GA? For Python Pandas Remote jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Python Pandas Remote jobs in Atlanta, GA look for? The top searched job categories for Python Pandas Remote jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Python Pandas Remote jobs? Cities near Atlanta, GA with the most Python Pandas Remote job openings:
Principal Data Scientist

Principal Data Scientist

Worldpay

Atlanta, GA • On-site, Remote

$165K - $249K/yr

Full-time

Posted 7 days ago


Job description

Job Description

This position is not eligible for visa sponsorship, now or in the future.Candidates must be a US Citizen or Green Card Holder

This position is remote in the Greater Boston AreaonlyORhybrid 3 days per week inoureither ourCincinnati, OHor Atlanta, GAoffice.

Ready to take your careerglobal?

Make your mark at one of the biggest namesinpayments.We areseekingan experienced and visionaryPrincipal Data Scientisttohelp scaleour Data Science and AI team. In this role, you will collaborate closely with ML software engineers, product managers, and other product delivery teams to build ML models and data-driven algorithms into robust, scalable, and production-ready products that optimize the end-to-end payment process. You will act as payment subject matter expert and applystrong systemand product thinking to create new product concepts, influence and build development roadmaps, design intelligent decision engines, drive cross functionalinitiativesand mentor senior DS/ML engineers.You will balance strategic leadership with hands-on technical contribution, dividing your time between setting technical direction and activelyparticipatingin architecture, design reviews, code reviews, and selected implementation efforts.

Whatyou'llown

Strategy and vision:

  • Define the technical vision and strategy fornew data driven productinitiativeswith a focus onend-to-endpayment optimization, aligning them with business goals.

  • Develop scalableand reusablecapabilities to power real-timemachine learningmodels(classification, ranking and optimization),enable rapid experimentationat scale, andsupportcontinuousmonitoringof MLproducts.

Technical contributionandleadership:

  • Overseeandparticipatehands-on intheconceptualization, development, production deployment, operation,validation,and maintenance of ML models andmodel updatesystems.

  • Establish and ensure adherence to best practicesforMLmodeling.Stay abreast of industry trends and emerging technologies in MLand payment optimization, drivingadoptionofmodern tools, frameworks, and infrastructure.

  • Foster a culture of innovation,experimentationandcollaboration.Mentoran elite team ofdata scientists

Cross-functional collaboration:

  • Partner with product, engineering, data, and compliance teams to integrate ML into products.Communicate complex technical concepts clearly to both technical and non-technical audiences.

  • Collaborate with other Data Science leaders toestablishan operating model for machine learning R&D thatoptimizesend-to-end delivery of business value.

Whatyou'llbring

  • Bachelor's or master'sdegree in computer science, Statistics, Mathematics, Engineering, or related field (PhD preferred)

  • 7+ years in ML research orengineering;5+ years building large-scale, real-time ML systems in production,includingsignificant experiencehands-on

  • Expertisein machine learning, statistical modeling, and dataanalysis,strong experience across the ML lifecycle and experimentation processes

  • Proficiencyin Python (Pandas, NumPy, scikit-learn),strong SQL and database experience (NoSQLand/orgraph database experience isa plus)

  • Demonstrated ability to lead solution designand execution,translatingcomplex business requirements into actionable technology solutions

  • Exceptional verbal and written communication skills, with the ability to influence and collaborate effectively across technical and business audiences at all levels, including executive leadership

It'sa bonus if you have

  • Experience in payments, fintech, or financial services

  • Knowledge of payment systems (authorization lifecycle, tokenization, fraud/risk, real-time payments)

  • Experience with cloud platforms (e.g., AWS,GCP,Snowflake, Databricks, Vertex AI)

  • Agile development experience

  • Experience in large companies, mature ML teams, and/or highly regulated industries

About the team

Our inclusive and global teamswintogetherevery day.We'reproud to have the best minds in the industry, who you can learn from as you grow your career.The people, the energy, the connections -it'sunmatched.Come and be part of an ever-evolving companyand get dynamic opportunities that go beyond borders.

What makes aGlobalpayer?

Globalpayersthink like a client, act like anownerand win as one team.We'recurious andinnovative - always finding better ways to deliver impact.We empower each other to make decisions,andit'sour passion that drives excellence in everything we set out to do.

Does this sound like you? Then you sound like aGlobalpayer. Apply now totake your careerglobal.

#LI-AD1


Worldpay is dedicated to offering individuals rewarding career opportunities and competitive compensation. For this full-time position, the good faith estimated annual salary range upon hire is $165,300.00-$249,675.00. This range reflects what we reasonably expect to offer based on the role's responsibilities, level, and geographic location. The actual starting salary will be determined by a candidate's experience, job-related skills, and relevant education or training. Please note that changes in work location may impact the final offered salary. We encourage you to consult with your recruiter to confirm the budget for your location and to better understand the applicable pay scale.

EEOC Statement

Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.

If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.