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Python Mechanical Engineer Jobs in Savannah, GA (NOW HIRING)

Collaborate with Data Engineering team to prioritize data quality improvements, ETL enhancements ... Expert-level proficiency in SQL, Python, or R, and cloud data platforms (Snowflake preferred)

Python Mechanical Engineer information

See Savannah, GA salary details

$21.4K

$130.4K

$188.6K

How much do python mechanical engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for python mechanical engineer in Savannah, GA is $130,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $153,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Mechanical Engineer, and why are they important?

To thrive as a Python Mechanical Engineer, you need a solid foundation in mechanical engineering principles, strong programming skills in Python, and typically a bachelor’s degree in mechanical engineering or a related field. Familiarity with simulation and modeling tools like ANSYS or SolidWorks, as well as experience with Python libraries such as NumPy and pandas, is highly beneficial. Problem-solving abilities, effective communication, and adaptability set candidates apart in this role. These skills are essential for efficiently designing, analyzing, and automating engineering processes, leading to innovative and optimized mechanical solutions.

How do Python Mechanical Engineers typically collaborate with cross-functional teams during product development?

Python Mechanical Engineers often work closely with electrical engineers, software developers, and product managers throughout the product development cycle. Their role involves integrating Python-based automation and simulation tools with mechanical design processes, which requires clear communication and coordination to ensure compatibility and efficiency. Regular meetings, collaborative project management platforms, and shared documentation are commonly used to align goals and resolve technical challenges. This cross-disciplinary teamwork not only enhances product quality but also provides valuable opportunities for professional growth and learning.

What does a Python Mechanical Engineer do?

A Python Mechanical Engineer is a professional who combines mechanical engineering expertise with proficiency in the Python programming language. They often use Python to automate simulations, analyze engineering data, create custom computational tools, and develop scripts for design optimization. Their work can involve tasks such as automating CAD processes, running finite element analysis, or integrating hardware and software systems. This combination of skills is increasingly valuable in industries that emphasize digital engineering and automation.

What is the difference between Python Mechanical Engineer vs Mechanical Design Engineer?

AspectPython Mechanical EngineerMechanical Design Engineer
Required SkillsPython programming, mechanical engineering fundamentalsMechanical design, CAD software, engineering principles
Work EnvironmentSoftware development teams, engineering labsDesign offices, manufacturing facilities
CertificationsOptional Python or software certifications, engineering licensesProfessional Engineer (PE), CAD certifications
Industry UsageAutomation, robotics, simulationProduct design, machinery, structural components

The main difference between a Python Mechanical Engineer and a Mechanical Design Engineer lies in their focus areas. Python Mechanical Engineers combine programming skills with mechanical engineering knowledge to develop automation and simulation tools, while Mechanical Design Engineers focus on creating physical product designs using CAD software. Both roles are essential in engineering projects but serve different functions within the industry.

What cities near Savannah, GA are hiring for Python Mechanical Engineer jobs? Cities near Savannah, GA with the most Python Mechanical Engineer job openings:
Infographic showing various Python Mechanical Engineer job openings in Savannah, GA as of May 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $130,362 per year, or $62.7 per hour.
Manager, Data Science

Manager, Data Science

Broughton Partners

Savannah, GA • On-site

Full-time

Posted 7 days ago


Job description

As Manager, Data Science, you will lead our data science function, building predictive models and delivering strategic insights that drive business decisions across Marketing, Operations, and Executive leadership. Your primary focus will be transforming our rich data (Salesforce, Snowflake, call center platforms) into actionable intelligence—lead scoring, conversion forecasting, marketing attribution, call center performance optimization as some examples. You will manage a small team, collaborate with Marketing's Intelligence Director on shared priorities, and operate with significant autonomy to define our analytics roadmap.

  1. Build and deploy predictive models that drive business decisions: lead scoring, conversion forecasting, marketing attribution, fraud detection, capacity planning
  2. Manage and mentor a team of 2 direct reports (Senior Data Analyst and Data Analyst). Develop team capabilities and match work to strengths.
  3. Partner with Marketing Intelligence Director (Marketing org) on shared analytical priorities to maintain one version of truth while respecting organizational swim lanes
  4. Present strategic insights and recommendations to executive leadership monthly, demonstrating measurable business impact (conversion improvement, ROI optimization, cost savings)
  5. Define and own the analytics roadmap—identify what questions the business should be answering and proactively surface insights, not just respond to requests
  6. Collaborate with Data Engineering team to prioritize data quality improvements, ETL enhancements, and infrastructure needs
  7. Establish standardized metrics and methodologies across the organization. Participate actively in Data Governance Council to resolve cross-functional conflicts
  8. Operate with autonomy in defining priorities, methodology, and stakeholder engagement while reporting to Director of Data Operations & Analytics
  9. Other duties as assigned

Education: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field required. Master's degree preferred or equivalent combination of education and experience.

Work Experience: Minimum of 5-8 years of data science or analytics experience with increasing responsibility. At least 2 years leading analytical initiatives or managing/mentoring analysts or data scientists.

Skills Needed: Expert-level proficiency in SQL, Python, or R, and cloud data platforms (Snowflake preferred). Proven ability to build predictive models (regression, classification, time series) that influenced business strategy. Strong stakeholder management and executive communication skills. Experience in marketing analytics (attribution, ROI), call center operations, or lead-generation business models is strongly preferred.

Licenses or Certification: Not required, but relevant certifications (AWS Certified Machine Learning, Google Professional Data Engineer, or similar) are a plus.


Physical Requirements

Standing, walking, sitting, repetitive movements and use of mechanical controls, such as a keyboard, are frequently required.