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Temporary Meta Machine Learning Jobs in Winter Garden, FL

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

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Temporary Meta Machine Learning information

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How much do temporary meta machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for temporary meta machine learning in Winter Garden, FL is $20.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $22.50 per hour, depending on experience, location, and employer.

What is a temporary Meta machine learning job?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.

What are the key skills and qualifications needed to thrive as a temporary Meta machine learning engineer?

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

What is the difference between Temporary Meta Machine Learning vs Data Scientist?

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

What cities near Winter Garden, FL are hiring for Temporary Meta Machine Learning jobs?

Cities near Winter Garden, FL with the most Temporary Meta Machine Learning job openings:

Temporary Meta Machine Learning jobs near you
Infographic showing various Temporary Meta Machine Learning job openings in Winter Garden, FL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $41,932 per year, or $20.2 per hour.

Data Scientist

AllSTEM Connections

Orlando, FL • On-site

$107K/yr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 5 days ago

Job description

Job Title: Senior Data Scientist (Operations Strategy & Advanced Analytics)
Role Overview
We are seeking a highly sophisticated Senior Data Scientist to formulate and apply advanced analytical approaches to drive incremental business value across a complex, high-volume enterprise ecosystem. In this role, you will bridge the gap between theoretical data science and real-world operational execution, utilizing machine learning, mathematical optimization, and econometric methods to solve intricate problems. You will not only be an individual contributor but also a technical leader, mentoring a team of analysts and engineers while exploring state-of-the-art methodologies to keep our organization at the cutting edge of decision science.
Key Responsibilities
Advanced Analytical Modeling (45%)
• Formulate and deploy complex analytical solutions, including causal and time-series forecasting, econometric modeling, and mathematical optimization.
• Conduct rigorous error analysis to iterate on and improve model performance for large-scale predictions.
Data Engineering & Feature Discovery (20%)
• Assist in the collection, cleaning, and organization of large structured and unstructured datasets.
• Identify causes of variability, test new features, and integrate them into production-level code.
Stakeholder Communication & BI (15%)
• Utilize business intelligence tools to create compelling visualizations that translate complex findings into actionable insights for both technical and non-technical executive leadership.
Research & Innovation (10%)
• Explore and pilot state-of-the-art analytical tools and emerging technologies that can be leveraged to improve team efficiency and model accuracy.
Technical Leadership & Mentorship (10%)
• Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies and continuous improvement.
Qualifications & Requirements
• Education: Master's Degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, or Data Science (Doctoral degree preferred).
• Technical Mastery:
• Machine Learning & Stats: Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML).
• Programming: Expert-level skills in SQL, Python, and R.
• Automation & Apps: Experience with process automation (Power Automate) and low-code app development (Power Apps).
• Visualization: Expertise in Power BI or Tableau.
• Experience:
• 3+ years of applied experience in analytical model design, development, and deployment.
• 5+ years of experience in high-volume consumer environments (e.g., hospitality, retail, or entertainment) is preferred.
• Attributes:
• Superior conceptual thinking and creative problem-solving skills.
• Demonstrated leadership and mentorship ability in an Agile or continuous improvement environment.
• Willingness to support a 24/7/365 operation, including peak demand periods (weekends and holidays).
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA

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