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Data Science Assistant Jobs in Orlando, FL (NOW HIRING)

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

In this role, you will bridge the gap between theoretical data science and real-world operational ... Data Engineering & Feature Discovery (20%) • Assist in the collection, cleaning, and organization ...

Socket.dev

Junior AI / Data Engineering Analyst

Orlando, FL · On-site

$55 - $75/hr

You'll work alongside experienced engineers, data scientists, and technical leaders while gaining ... teams * Assist with building and maintaining data pipelines, APIs, and cloud-based workflows

Posted today

Biopharma Careers

Manager AI Products

Titusville, FL · On-site

$162 - $182/hr

Data Science Job Category: Scientific/Technology All Job Posting Locations: Titusville, New Jersey ... TAs. Assist the leaders in the DS, DE and AA team in managing the releases together with the ...

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ONE ALLIANCE INSURANCE MANAGERS INC

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Contributes to the development of project plans and may assign and monitor tasks. Assist in the ... Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related ...

Serco USA

Data Engineer- Orlando, FL

Orlando, FL · On-site

$106K - $128K/yr

The Serco Data Engineer will assist Government program managers with obtaining data and models from ... Data science, analytics, and data engineering principles. * Data integration, ETL (Extract ...

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All JobsData Science JobsData Science Assistant JobsData Science Assistant Jobs in Orlando, FL

Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a data science assistant?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Science jobs in Orlando, FL?

The most popular types of Data Science jobs in Orlando, FL are:

What are popular job titles related to Data Science Assistant jobs in Orlando, FL?

For Data Science Assistant jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Data Science Assistant jobs in Orlando, FL look for?

The top searched job categories for Data Science Assistant jobs in Orlando, FL are:

Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Orlando, FL as of August 2026, with employment types broken down into 5% Internship, 79% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Data Scientist

AllSTEM Connections

Orlando, FL • On-site

$107K/yr

Temporary

Medical, Dental, Vision, Retirement

Re-posted 6 days ago

Key responsibilities

  • Formulate and deploy complex analytical solutions, including causal and time-series forecasting, econometric modeling, and mathematical optimization.

  • Assist in the collection, cleaning, and organization of large structured and unstructured datasets, and identify causes of variability to test and integrate new features into production code.

  • Utilize business intelligence tools to create visualizations that translate complex findings into actionable insights for technical and non-technical leadership.

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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