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Scientist Python Jobs in Duluth, GA (NOW HIRING)

Data Scientist (5-10 Years Experience)A Data Scientist with 5 to 10 years of experience is ... Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g ...

Data Scientist (5-10 Years Experience)A Data Scientist with 5 to 10 years of experience is ... Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g ...

Data Scientist (5 to 10 Years of Experience)A Data Scientist with 5 to 10 years of experience plays ... Proficiency in programming languages such as Python, R, or Julia.Solid understanding of machine ...

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 ...

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 ...

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 ...

We are seeking a Senior Data Scientist to ship production-grade models and tools across Roark ... Write clean, tested, reusable Python; participate in code review; and apply strong software craft ...

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

Scientist Python information

See Duluth, GA salary details

$34.5K

$113K

$180.9K

How much do scientist python jobs pay per year?

As of Aug 22, 2026, the average yearly pay for scientist python in Duluth, GA is $112,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $125,200.00 per year, depending on experience, location, and employer.

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 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 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.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

What are 10 careers related to Python?

A Python-focused scientist can pursue careers such as data scientist, machine learning engineer, data analyst, software developer, automation engineer, research scientist, bioinformatics specialist, quantitative analyst, AI engineer, and backend developer. These roles often require strong programming skills, knowledge of libraries like NumPy and Pandas, and experience with data analysis or software development environments.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, and may require experience with data analysis, modeling, and cloud platforms. Strong programming skills and relevant certifications can improve job prospects in this field.

What are popular job titles related to Scientist Python jobs in Duluth, GA?

For Scientist Python jobs in Duluth, GA, the most frequently searched job titles are:

What job categories do people searching Scientist Python jobs in Duluth, GA look for?

The top searched job categories for Scientist Python jobs in Duluth, GA are:

What cities near Duluth, GA are hiring for Scientist Python jobs?

Cities near Duluth, GA with the most Scientist Python job openings:

Infographic showing various Scientist Python job openings in Duluth, GA as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 10% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $112,971 per year, or $54.3 per hour.

Data Scientist 2 4P/187

4P Consulting Inc

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Data Scientist (5–10 Years Experience)A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets.Key Responsibilities:1. Data Analysis:Collect, clean, and analyze complex datasets to uncover trends, patterns, and actionable insights.Apply statistical techniques to derive meaningful information for business strategies.2. Predictive Modeling:Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes.Utilize techniques such as regression analysis, classification, and clustering.3. Data Visualization:Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g., Matplotlib, Seaborn).Effectively communicate insights to both technical and non-technical stakeholders.4. Hypothesis Testing:Formulate and test hypotheses to statistically validate business decisions and recommendations.5. Feature Engineering:Engineer and select relevant features to optimize the performance of machine learning models.6. Algorithm Development:Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks.7. Data Integration:Collaborate with IT and database administrators to access and integrate data from multiple sources and data warehouses.8. Model Deployment:Deploy machine learning models into production environments to support real-time analytics and decision-making.9. A/B Testing:Design and evaluate A/B tests to assess the impact of process or product changes.10. Data Ethics:Ensure data handling practices meet ethical standards, including privacy and compliance with regulations.11. Cross-functional Collaboration:Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals.12. Mentorship:Provide guidance and mentorship to junior data scientists and analysts to support team development.13. Continuous Learning:Stay updated on the latest data science tools, trends, and best practices through professional development.Qualifications:Education: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). Master's or Ph.D. is a plus.Experience: 5 to 10 years in data science, with experience in machine learning and statistical analysis.Programming Languages & Tools: Proficiency in Python, R, or Julia.Visualization Tools: Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn).Database Skills: Strong understanding of databases and SQL-based data manipulation.Additional Skills: Advanced problem-solving and critical thinking abilities.Strong communication skills for conveying technical findings to diverse audiences.Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.Awareness of data ethics and regulatory compliance.