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Scientist Python Jobs in Georgia (NOW HIRING)

GeoYeti

Expert Data Scientist

Augusta, GA · On-site

Build tabular, SQL, and scripted analytic workflows (Python, R, Julia) to surface unique insights * Integrate geographic and geospatial scientific principles into model design and analysis * Deliver ...

U.S. Bank

Financial Data Scientist

Atlanta, GA · On-site

The Financial Data Scientist role involves providing advanced financial and analytical support ... Python to identify trends, risks, and performance drivers • Design, automate, and maintain ...

Veritiv Corporation

Data Scientist

Sandy Springs, GA · On-site

Experience utilizing Python or R coding skills for data exploration, statistical analysis, and predictive analysis. Experience writing SQL queries (familiar with primary and foreign keys, as well as ...

GeoYeti

Expert Data Scientist

Augusta, GA · On-site

Build tabular, SQL, and scripted analytic workflows (Python, R, Julia) to surface unique insights * Integrate geographic and geospatial scientific principles into model design and analysis * Deliver ...

SOLTECH

Data Scientist

Duluth, GA · On-site

... Python, SQL, and distributed computing frameworks Perform exploratory data analysis (EDA) to ... science and software engineering best practices Work within cloud-based data infrastructure ...

Euna Solutions

Software Developer, Python & CFML

Atlanta, GA · On-site

$49.25 - $68/hr

Bachelor's degree in Computer Science or a related field, or equivalent experience. * 3+ years of experience in full-stack web development. * 3+ years of professional experience with Python ...

Blend360

Jr. Data Scientist

Atlanta, GA

$40 - $45/hr

... data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles ... The individual will leverage Snowflake for cloud-based data management, Python and SAS for advanced ...

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 ...

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Scientist Python information

How do Scientist Python roles 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, and why are they important?

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.

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.

What are popular job titles related to Scientist Python jobs in Georgia? For Scientist Python jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Georgia look for? The top searched job categories for Scientist Python jobs in Georgia are:
What cities in Georgia are hiring for Scientist Python jobs? Cities in Georgia with the most Scientist Python job openings:
Scientist Python jobs near you

Data Scientist 2 4P/187

4P Consulting Inc.

Atlanta, GA

Contractor

Posted 4 days ago

Job description

Data Scientist (5–10 Years Experience)
Overview:

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.