Data Scientist Gaming
Boca Raton, FL · On-site
The role involves delivering insights from mobile casino game and audience data, utilizing ... with machine learning and AI • Tensor Flow, Azure Machine Learning Studio or similar tools ...
Data Scientist Gaming
Boca Raton, FL · On-site
The role involves delivering insights from mobile casino game and audience data, utilizing ... with machine learning and AI • Tensor Flow, Azure Machine Learning Studio or similar tools ...
The role involves delivering insights from mobile casino game and audience data, leading research ... with machine learning and AI • Tensor Flow, Azure Machine Learning Studio or similar tools ...
The role involves delivering insights from mobile casino game and audience data, leading research ... with machine learning and AI • Tensor Flow, Azure Machine Learning Studio or similar tools ...
Mobile Operations Technician (Car Keys)
West Palm Beach, FL · On-site
$40K - $60K/yr
Van & Equipment Maintenance: Assist with daily van setup and maintain tools, machines, and ... Comfortable working with your hands, using tablets/mobile apps, and learning new technical skills.
Quick apply
Mobile Operations Technician (Car Keys)
West Palm Beach, FL · On-site
$40K - $60K/yr
Van & Equipment Maintenance: Assist with daily van setup and maintain tools, machines, and ... Comfortable working with your hands, using tablets/mobile apps, and learning new technical skills.
Mobile Machine Learning information
See Wellington, FL salary details
$14.18 is the 25th percentile. Wages below this are outliers.
$11.47 - $20.58
84% of jobs
$20.58 - $29.70
16% of jobs
$29.70 - $38.81
0% of jobs
$38.81 - $47.93
0% of jobs
$47.93 - $57.04
0% of jobs
$57.04 - $66.16
0% of jobs
$66.16 - $75.27
0% of jobs
$75.27 - $84.39
0% of jobs
$84.39 - $93.50
0% of jobs
$93.50 - $102.62
0% of jobs
$102.62 - $111.73
0% of jobs
$11
$23
$111
How much do mobile machine learning jobs pay per hour?
As of Aug 26, 2026, the average hourly pay for mobile machine learning in Wellington, FL is $23.68, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $18.89 per hour, depending on experience, location, and employer.
What is mobile machine learning?
Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.
What are some common challenges faced by mobile machine learning engineers when deploying models on mobile devices?
Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.
What are the key skills and qualifications needed to thrive as a mobile machine learning engineer, and why are they important?
To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.
What is the difference between Mobile Machine Learning vs Data Scientist?
| Aspect | Mobile Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, ML, or related; experience with mobile platforms | Bachelor's or higher in CS, Statistics, or related; data analysis skills |
| Work Environment | Mobile app development teams, on-device processing | Data analysis teams, research environments |
| Industry Usage | Mobile app companies, tech startups | Finance, healthcare, tech firms |
| Common Search/Comparison | Yes | Yes |
Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.
What are popular job titles related to Mobile Machine Learning jobs in Wellington, FL?
For Mobile Machine Learning jobs in Wellington, FL, the most frequently searched job titles are:
What cities near Wellington, FL are hiring for Mobile Machine Learning jobs?
Cities near Wellington, FL with the most Mobile Machine Learning job openings:
Data Scientist Gaming
Boca Raton, FL • On-site
QDStaff
Full-time
Re-posted 18 days ago
Job description
Job Summary:
QDStaff is a leading talent source for award-winning video game companies, and they are seeking an experienced Data Scientist to join a fast-growing game development company in Boca Raton, Florida. The role involves delivering insights from mobile casino game and audience data, utilizing mathematical, AI, and statistical expertise to drive data-driven decisions and strategies.
Responsibilities:
• Lead data-driven and evidence-based research to support the delivery of game metrics, KPIs, reporting
• Creation of Dashboards that will be used to drive business decisions.
• Communicate findings to all stakeholders
• Enable smarter business processes—and implement analytics for meaningful insights
• Keep current with technical and industry developments
• Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making with internal team leads (Game Designers, Management and Game Intelligence leads)
• Further incorporate data-driven decision-making in operations and Game Design.
• Establish KPIs and Dashboard to measure the effectiveness of business decisions
• Nice to Have: Research and devise innovative statistical models for data analysis
• Nice to Have: Advanced and predictive analytics
Qualifications:
Required:
• Proven success and ownership of analytics work end to end, including data preparation, analysis, reporting, and decision support
• Hands-on responsibility for defining and owning KPIs, not just visualizing existing metrics
• Experience building and maintaining dashboards (Tableau or Power BI) that were actively used to drive business or product decisions
• Regular use of SQL to work with production or large datasets
• Experience delivering ongoing or recurring reporting, not only one-off or exploratory analyses
• Direct involvement in experimentation or A/B testing, including hypothesis definition, measurement, and interpretation
• Experience translating analysis into clear recommendations for non-technical stakeholders
• Work experience in a business or product environment, not purely academic or research settings
• Ownership of analytics work end to end, including data preparation, analysis, reporting, and decision support
• Proficient with data management, visualization, and modeling tools
• Bachelor’s or Master's degree in statistics, applied mathematics, or related discipline
Preferred:
• User segmentation
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced pattern recognition and predictive modeling experience
• Experience with machine learning and AI
• Tensor Flow, Azure Machine Learning Studio or similar tools
Company:
QDStaff connects iGaming and video game studios with game industry talent through recruiting and staffing services. Founded in , the company is headquartered in Boca Raton, USA, with a team of 11-50 employees. The company is currently Early Stage.
QDStaff is a leading talent source for award-winning video game companies, and they are seeking an experienced Data Scientist to join a fast-growing game development company in Boca Raton, Florida. The role involves delivering insights from mobile casino game and audience data, utilizing mathematical, AI, and statistical expertise to drive data-driven decisions and strategies.
Responsibilities:
• Lead data-driven and evidence-based research to support the delivery of game metrics, KPIs, reporting
• Creation of Dashboards that will be used to drive business decisions.
• Communicate findings to all stakeholders
• Enable smarter business processes—and implement analytics for meaningful insights
• Keep current with technical and industry developments
• Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making with internal team leads (Game Designers, Management and Game Intelligence leads)
• Further incorporate data-driven decision-making in operations and Game Design.
• Establish KPIs and Dashboard to measure the effectiveness of business decisions
• Nice to Have: Research and devise innovative statistical models for data analysis
• Nice to Have: Advanced and predictive analytics
Qualifications:
Required:
• Proven success and ownership of analytics work end to end, including data preparation, analysis, reporting, and decision support
• Hands-on responsibility for defining and owning KPIs, not just visualizing existing metrics
• Experience building and maintaining dashboards (Tableau or Power BI) that were actively used to drive business or product decisions
• Regular use of SQL to work with production or large datasets
• Experience delivering ongoing or recurring reporting, not only one-off or exploratory analyses
• Direct involvement in experimentation or A/B testing, including hypothesis definition, measurement, and interpretation
• Experience translating analysis into clear recommendations for non-technical stakeholders
• Work experience in a business or product environment, not purely academic or research settings
• Ownership of analytics work end to end, including data preparation, analysis, reporting, and decision support
• Proficient with data management, visualization, and modeling tools
• Bachelor’s or Master's degree in statistics, applied mathematics, or related discipline
Preferred:
• User segmentation
• Proficiency with data mining, mathematics, and statistical analysis
• Advanced pattern recognition and predictive modeling experience
• Experience with machine learning and AI
• Tensor Flow, Azure Machine Learning Studio or similar tools
Company:
QDStaff connects iGaming and video game studios with game industry talent through recruiting and staffing services. Founded in , the company is headquartered in Boca Raton, USA, with a team of 11-50 employees. The company is currently Early Stage.