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Scientist Python Jobs in Tucker, GA (NOW HIRING)

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... Write clean Python and SQL, working with data pipelines and analytical workflows to prepare ...

Revenue Analytics

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... Write clean Python and SQL, working with data pipelines and analytical workflows to prepare ...

Emory University

Software Engineer, Python - OIT

Atlanta, GA · On-site +1

$49 - $67.50/hr

... science, management information systems or directly related field and eight years of experience ... Python libraries: Flask, boto3, Gunicorn, Simple Salesforce * Docker/Kubernetes * Java & XML

United Airlines

Data Scientist

Atlanta, GA

Develop statistical models, predictive analytics, and machine learning algorithms using Python and ... Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

Advanced Python programming skills , including libraries such as Pandas, NumPy, Scikit-learn ... Design, develop, and deploy AI/ML models and data science solutions on AWS * Build end-to-end ML ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

Advanced Python programming skills , including libraries such as Pandas, NumPy, Scikit-learn ... Design, develop, and deploy AI/ML models and data science solutions on AWS * Build end-to-end ML ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$85K - $105K/yr

Advanced Python programming skills , including libraries such as Pandas, NumPy, Scikit-learn ... Design, develop, and deploy AI/ML models and data science solutions on AWS * Build end-to-end ML ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

Advanced Python programming skills , including libraries such as Pandas, NumPy, Scikit-learn ... Design, develop, and deploy AI/ML models and data science solutions on AWS * Build end-to-end ML ...

CRH

Data Scientist

Atlanta, GA · On-site

Data Scientist CRH Americas Corporate Atlanta, Georgia, United States Job ID: 525066 CRH is a ... Strong Python or R skills for advanced analysis (e.g., data wrangling, statistical analysis ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries. * Proficiency writing and interpreting ...

Crh-bc0817a9

Data Scientist

Atlanta, GA · On-site

$120 - $160/hr

Data Scientist (525066) CRH is a leading global diversified building materials group, employing ... Strong Python or R skills for advanced analysis (e.g., data wrangling, statistical analysis ...

New

Intuit

Staff AI Scientist

Atlanta, GA

Contribute to the credit risk AI science initiatives for the new and evolving Money product ... Authoritative knowledge of Python and SQL * Relevant work experience in fintech credit risk, with ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

Experience • 5+ years of experience in data science, machine learning, or related analytical roles. • 5+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn ...

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All JobsScientist Python JobsScientist Python Jobs in Tucker, GA

Scientist Python information

See Tucker, GA salary details

$35.3K

$115.6K

$185.1K

How much do scientist python jobs pay per year?

As of Aug 8, 2026, the average yearly pay for scientist python in Tucker, GA is $115,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $128,100.00 per year, depending on experience, location, and employer.

How does a Scientist Python typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

How much does a scientist Python make?

A Python scientist, often called a data scientist or machine learning engineer, typically earns between $80,000 and $130,000 annually, depending on experience, location, and industry. Advanced skills in Python, data analysis, and machine learning tools can lead to higher salaries, especially in tech hubs or specialized sectors.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across various industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, along with experience in data analysis, modeling, and visualization. Strong programming skills, relevant certifications, and knowledge of cloud platforms can enhance job prospects in this field.
What cities near Tucker, GA are hiring for Scientist Python jobs? Cities near Tucker, GA with the most Scientist Python job openings:
Scientist Python jobs near you

Data Scientist

Revenue Analytics

Atlanta, GA • On-site, Remote

$95K - $110K/yr

Full-time

Re-posted 15 days ago

Job description

Data Scientist
Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.
Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.
This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.
As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.
What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.

$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
Visa sponsorship is not available for this role. Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

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