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Scientist Python Jobs in Savannah, GA (NOW HIRING)

Danaher

Software Engineer Internships

Savannah, GA · On-site

Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ... Students graduating in 2025 or later with a Bachelor's degree in Computer Science, Software ...

Danaher

Digital Analyst Internships

Savannah, GA

$91K - $108K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

FocusKPI

Marketing Operations Analyst

Savannah, GA

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

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Scientist Python information

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How much do scientist python jobs pay per year?

As of Jun 9, 2026, the average yearly pay for scientist python in Savannah, GA is $114,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $126,700.00 per year, depending on experience, location, and employer.

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 Savannah, GA? For Scientist Python jobs in Savannah, GA, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Savannah, GA look for? The top searched job categories for Scientist Python jobs in Savannah, GA are:
What cities near Savannah, GA are hiring for Scientist Python jobs? Cities near Savannah, GA with the most Scientist Python job openings:
Scientist Python jobs near you
Reporting Developer III - Data Scientist

Reporting Developer III - Data Scientist

Gulfstream Aerospace Corporation

Savannah, GA • On-site

Other

Posted 27 days ago

Gulfstream Aerospace rating

8.7

Company rating: 8.7 out of 10

Based on 175 frontline employees who took The Breakroom Quiz

13th of 60 rated aerospace companies

Job description

Reporting Developer III - Data Scientist in  GAC Savannah


Unique Skills:

General:

  • Minimum 3 years experience in Data Science
  • Programming: Python for ML and data engineering; strong modular coding practices, packaging, unit testing (pytest).
  • Databricks (Azure) or Microsoft Fabric or AWS Sagemaker: Handson experience with Lakehouse / Warehouse patterns, Spark DataFrames, MLflow for experiment tracking, model registry, and jobs/workflows.
  • ML Tooling: Scikitlearn, XGBoost/LightGBM, statsmodels; feature engineering at scale; model selection, crossvalidation, hyperparameter tuning; robust performance diagnostics (ROC/AUC, PR, F1, lift, residual/error analysis).
  • Data Ops & MLOps: MLflow, model packaging, job orchestration, CI/CD for notebooks/repos.

Machine Learning Expertise

  • Classical ML focus (nonGenAI): Timeseries forecasting (ARIMA/SARIMA/ETS/Prophet, gradient boosting for forecast blending), supervised learning (classification, regression), unsupervised learning (clustering, anomaly detection), survival/reliability analysis, and designofexperiments (DOE).
  • Feature engineering: Lag/lead features, calendar/maintenance cycles, treatment of missingness/outliers, and robust scaling for heteroscedastic industrial data.  Synthetic data generation.
  • Evaluation in production contexts: Costsensitive metrics (falsealarm vs miss costs), and explainability suitable for engineering review boards. Optimization of Type 1 vs. Type 2 errors.

Manufacturing & Aerospace Domain (Preferred)

  • Industrial analytics: Experience with predictive maintenance, conditionbased monitoring, yield/throughput improvement, quality/defect analytics, SPC, firstpass yield, and takttime bottleneck analysis in complex discrete manufacturing.
  • Aerospace value chain: Practical familiarity with E2E flows: design supply chain assembly test/flight field operations & MRO; interpreting sensor/telemetry (AHTMS), maintenance logs, and part lifecycle histories.
  • ERP/MES/PLM context: Working knowledge of SAP/ERP data constructs (orders, routings, WIP, inventory), MES event logs, and engineering change impacts on data semantics.

Collaboration, Communication & Leadership

  • Stakeholder engagement: Translate business problems into solvable ML formulations; quantify expected value; define acceptance criteria.
  • Crossfunctional teaming: Close collaboration with Data Engineering (ETL, CDC, quality, security) and Citizen Data Scientists for enablement and review cycles.
  • Documentation & training: Produce clear technical docs, model cards, and operational runbooks; coach citizen developers.


 

Education and Experience Requirements
Bachelor's Degree in Information Technology, Computer Science, Engineering or relevant curriculum required or equivalent combination of education and experience sufficient to successfully perform the essential functions of the job. 6 years relevant business/technical experience to include three (3) years specific reporting, data analytics, or related technical development/deployment experience. Master's Degree may be used to offset one (1) year of experience; PhD may offset two (2) years of experience. Position Purpose: This is a data and analytics development role within the Gulfstream Business Technology organization for the Enterprise Reporting team. This role directly supports the suite of Gulfstream Enterprise Reporting applications. Responsible for developing requirements, solution development, testing, deployment, and support of enterprise reporting solutions.
Job Description
Principle Duties and Responsibilities: Essential Functions:
  1. Engages stakeholders and technology users in identifying, analyzing, and documenting business requirements.
  2. Ensures applications processes are followed consistently and are in compliance with applicable policies, procedures, standards, etc.
  3. Performs normal administration tasks and system maintenance for reporting and data analytics applications and solutions.
  4. Documents, develops, tests, deploys, and supports reporting and data analytics development using a variety of technical tools in support of business requirements.
Additional Functions:
  1. Conducts briefings and participates in technical meetings concerning specific projects or other activities. .
Perform other duties as assigned. Other Requirements:
  1. Experience with Agile development methodology and working on an agile team preferred.
  2. Demonstrated understanding of software development lifecycle methodologies (SDLC).
  3. Experience in conducting testing including design and execution of test cases.
  4. Demonstrated capability to understand data structures and create effective visualizations and reports that drive business insight and value.
  5. Excellent presentation design and delivery skills.
  6. Ability to lead/facilitate cross-functional teams and meetings.
A credit history check from a national credit bureau will be conducted for all candidates for this position including new hires and current employees seeking promotion or transfer. This job requires one to be able to read, write, speak, and understand the English language.

Additional Information

Requisition Number: 230960

Category: Information Systems

Percentage of Travel: Up to 25%

Shift: First

Employment Type: Full-time

Posting End Date: 03/21/2026

#LI-HS1

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Gulfstream does not provide work visa sponsorship for this position, unless the applicant is a currently sponsored Gulfstream employee.

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Gulfstream Aerospace Corporation, a wholly-owned subsidiary of General Dynamics (NYSE: GD), designs, develops, manufactures, markets, services and supports the world's most technologically-advanced business jet aircraft

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