Manager, Data Science
Savannah, GA · On-site
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)
Savannah, GA · On-site
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)
Savannah, GA · On-site
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)
$21.4K - $36.6K
1% of jobs
$36.6K - $51.8K
0% of jobs
$51.8K - $67K
4% of jobs
$67K - $82.2K
5% of jobs
$82.2K - $97.4K
10% of jobs
$102.7K is the 25th percentile. Wages below this are outliers.
$97.4K - $112.6K
14% of jobs
The median wage is $126K / yr.
$112.6K - $127.8K
18% of jobs
$127.8K - $143K
17% of jobs
$148.2K is the 75th percentile. Wages above this are outliers.
$143K - $158.2K
17% of jobs
$158.2K - $173.4K
9% of jobs
$173.4K - $188.6K
5% of jobs
$21.4K
$130.4K
$188.6K
| Aspect | Python Mechanical Engineer | Mechanical Design Engineer |
|---|---|---|
| Required Skills | Python programming, mechanical engineering fundamentals | Mechanical design, CAD software, engineering principles |
| Work Environment | Software development teams, engineering labs | Design offices, manufacturing facilities |
| Certifications | Optional Python or software certifications, engineering licenses | Professional Engineer (PE), CAD certifications |
| Industry Usage | Automation, robotics, simulation | Product 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.

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.
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.
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Marketing
51 - 200 Employees
Savannah, GA, US