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Temporary Applied Statistics Jobs in Florida (NOW HIRING)

AllSTEM Connections

Lead Engineer

Orlando, FL · On-site

$58K - $93K/yr

Utilize unique analytical techniques-including probability and statistics, process flow analysis ... Minimum of three (3) years of applied experience in industrial engineering or operational analysis ...

AllSTEM Connections

Lead Engineer

Orlando, FL · On-site

$95K - $126K/yr

Utilize unique analytical techniques-including probability and statistics, process flow analysis ... Minimum of three (3) years of applied experience in industrial engineering or operational analysis.

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 ...

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

Machine Learning & Stats: Proficiency with data mining, statistical analysis, and machine learning ... Experience: 3+ years of applied experience in analytical model design, development, and deployment ...

AllSTEM Connections

: Lead Engineer

Orlando, FL · On-site

$95K - $126K/yr

... Statistics to engineer solutions for complex operational challenges. Data Mining & Field Studies ... Minimum of 3 years of applied experience in industrial engineering and operational analysis. Proven ...

AllSTEM Connections

: Lead Engineer

Orlando, FL · On-site

$93K/yr

... Statistics to engineer solutions for complex operational challenges. • Data Mining & Field ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

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All JobsApplied Statistics JobsTemporary Applied Statistics JobsTemporary Applied Statistics Jobs in Florida

Temporary Applied Statistics information

What is a temporary applied statistics position?

Temporary Applied Statistics positions are short-term roles focused on applying statistical methods and data analysis techniques to solve real-world problems in various fields such as business, healthcare, or government. Individuals in these roles may work on projects like data collection, statistical modeling, or data interpretation, typically for a set period, such as a semester, summer, or the duration of a specific project. These positions are often ideal for students, recent graduates, or professionals seeking to gain practical experience in applied statistics. Responsibilities can vary depending on the employer and the project needs.

What types of projects and collaborations can I expect in a temporary applied statistics role?

In a Temporary Applied Statistics position, you’ll typically work on short- to medium-term data analysis projects, often collaborating with teams from research, product development, or business analytics. Your responsibilities may include designing experiments, performing statistical modeling, and interpreting results to support decision-making. You might also assist in preparing reports or presentations for stakeholders and work closely with subject matter experts to ensure your analyses are relevant and actionable. The role offers exposure to diverse datasets and problems, helping to build practical experience and professional networks within the organization.

What are the key skills and qualifications needed to thrive as a temporary applied statistics professional, and why are they important?

To thrive in a Temporary Applied Statistics role, you need a solid background in statistical theory, data analysis, and proficiency with statistical software, often supported by a degree in statistics, mathematics, or a related field. Familiarity with tools such as R, Python, SAS, or SPSS and experience with data visualization platforms like Tableau are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help convey complex findings to non-technical stakeholders. These competencies ensure accurate data interpretation, actionable insights, and meaningful contributions to short-term organizational projects.

What is the difference between Temporary Applied Statistics vs Applied Statistics?

AspectTemporary Applied StatisticsApplied Statistics
CredentialsTypically requires a bachelor's degree in statistics, mathematics, or related fieldUsually requires a bachelor's or master's degree in statistics, mathematics, or related field
Work EnvironmentTemporary roles often in corporate, research, or consulting settingsPermanent positions in various industries including healthcare, finance, and government
Employer & Industry UsageUsed by companies for short-term projects or seasonal needsUsed for ongoing data analysis, modeling, and decision-making

Temporary Applied Statistics roles are short-term, project-based positions requiring foundational statistical skills, while Applied Statistics positions are permanent roles focused on continuous data analysis and modeling. Both roles require similar educational backgrounds but differ mainly in duration and scope of employment.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming, statistical software, and critical thinking. It offers opportunities in various industries such as healthcare, finance, and technology, with demand for professionals who can interpret complex data and communicate insights effectively.

What jobs can you get with temporary applied statistics?

Temporary applied statistics roles include positions such as data analyst, research assistant, or statistical consultant, often requiring skills in data analysis, statistical software, and reporting. These jobs are common in industries like healthcare, finance, marketing, and government, and may involve project-based work with short-term contracts or seasonal assignments.

Where can I work with a degree in applied statistics?

A degree in applied statistics qualifies you for roles such as data analyst, statistician, or data scientist in various industries including finance, healthcare, marketing, and technology. These positions often require skills in statistical software like R or Python and may involve working in corporate, research, or government environments.

What are popular job titles related to Temporary Applied Statistics jobs in Florida?

For Temporary Applied Statistics jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Temporary Applied Statistics jobs in Florida look for?

The top searched job categories for Temporary Applied Statistics jobs in Florida are:

What cities in Florida are hiring for Temporary Applied Statistics jobs?

Cities in Florida with the most Temporary Applied Statistics job openings:

Temporary Applied Statistics jobs near you

Lead Engineer

AllSTEM Connections

Orlando, FL • On-site

$58K - $93K/yr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 19 days ago

Job description

Job Title: Lead Industrial & Operations Research Engineer
Role Overview
We are seeking a Lead Industrial & Operations Research Engineer to join our systems optimization team. You will be the architect of our efficiency initiatives, using advanced analytical techniques to solve complex operational challenges. From mapping intricate process flows to building predictive models that determine optimal capacity, you will provide the data-driven insights that guide our most critical business decisions.
This is a high-impact role for an engineer who excels at bridging the gap between raw data and actionable strategy. You will spend your time both in the field-collecting data and observing frontline operations-and at your desk, applying mathematical modeling, queuing theory, and simulation to engineer systemic improvements.
Key Responsibilities
Systems Engineering & Optimization (40%)
• Methodological Leadership: Apply comprehensive Industrial Engineering (IE) and Operations Research (OR) principles to departmental projects. Utilize unique analytical techniques-including probability and statistics, process flow analysis, queuing theory, and mathematical optimization-to identify root causes and design robust, scalable solutions.
• Institutionalize Change: Own the process of engineering, implementing, and institutionalizing systemic changes that improve operational performance and efficiency.
Data Analysis & Modeling (35%)
• Data Synthesis: Extract insights from complex datasets using advanced querying tools. Lead field data collection studies to ground your models in real-world observations.
• Sophisticated Modeling: Conduct computer simulations and statistical modeling to stress-test our current operations and simulate "what-if" scenarios for future operational states.
Strategic Communication (25%)
• Executive Advocacy: Develop compelling business cases and data-rich presentations. You must be able to translate complex mathematical outcomes into intuitive insights for everyone from frontline stakeholders to senior executive leadership.
Qualifications & Requirements
Minimum Qualifications
• Education: Bachelor's degree in Industrial Engineering, Operations Research, Management Science, or a closely related quantitative field.
• Experience Baseline: Minimum of three (3) years of applied experience in industrial engineering or operational analysis.
• Field Proficiency: Proven ability to conduct field studies/data collection in active operational environments.
• Technical Mastery: Strong command of spreadsheet modeling, database querying, and statistical analysis software.
Preferred Attributes
• Advanced Degree: Master's degree in Industrial Engineering, Operations Research, or a related field.
• Tooling Proficiency: Knowledge of data programming languages (e.g., Python, SQL) and visualization tools (e.g., Power BI). Familiarity with statistical software (e.g., R, SPSS).
• Operational Adaptability: Experience performing analyses for large-scale, high-demand operational venues where capacity and throughput are critical.
• Resilience: A willingness to support a 24/7/365 operation, including high-demand periods (weekends/holidays) to observe systems during peak performance.
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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