Orlando, FL

Data Jobs in Orlando, FL

9 jobs found

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Today

Quality Data Analyst

Aspire Health Partners, Inc. Orlando, FL

Orlando, FL

Today

$22 - $22/hr Full time Analytics Business Analytics Business Intelligence

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Job Description

Aspire Health Partners, Inc. offers a competitive compensation of USD 22 - 22 per hourly for an on-site Quality Data Analyst role in Orlando, FL. This position emphasizes data analysis, compliance, and quality improvement, supported by IT systems that ensure data integrity and regulatory alignment. Join a team committed to continuous improvement, collaboration, professionalism, and ethical data stewardship. A bachelor’s degree and a minimum of three years of relevant experience are required.

Benefits

Comprehensive medical, dental, and vision insurance
Basic life insurance with additional supplemental coverage
Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)
Employee Assistance Program (EAP)
Paid time off starting at 2.5 weeks in the first year, increasing with tenure up to 6 weeks
Six paid holidays plus two diversity and floating holidays
403(b) retirement plan with a 50% employer match up to 10%
Short-term and long-term disability coverage
HRSA loan forgiveness opportunities
Employee discounts on retail, travel, hotels, tickets, and vehicle purchases
Will preparation services and funeral planning resources
Concierge and travel assistance services

Responsibilities

Review healthcare and quality performance data to identify trends, risks, and opportunities for improvement
Create, maintain, and enhance dashboards, reports, and analytics tools
Provide actionable insights that support informed decision-making and operational excellence
Use data analytics to measure outcomes and monitor organizational performance
Perform internal audits across clinical and administrative areas
Monitor compliance with healthcare regulations, accreditation standards, and internal policies
Identify process gaps and propose data-driven corrective actions
Collaborate with stakeholders to implement and monitor audit findings and resolutions
Contribute to the design and execution of quality improvement initiatives
Conduct root cause analyses and help develop sustainable corrective action plans
Track progress, measure results, and report findings to leadership
Foster a culture of continuous improvement, accountability, and excellence
Support the integration, optimization, and ongoing use of quality and compliance related IT systems
Ensure data accuracy, integrity, confidentiality, and security
Serve as a subject matter expert for data systems, reporting tools, and quality processes
Provide staff training on audit procedures, data reporting practices, and compliance requirements

Requirements

Bachelor's degree in Information Technology, Data Science, Health Informatics, or a related field
At least three years of experience in data analysis, IT systems, internal auditing, or quality management within a healthcare setting
Strong proficiency with data visualization and reporting tools
Experience working with Electronic Health Record systems
Knowledge of healthcare regulations, compliance requirements, and quality standards
Excellent analytical, organizational, problem-solving, and communication skills
Commitment to professionalism, ethics, and confidentiality
Power BI experience strongly preferred
Certification in Healthcare Quality, Auditing, or a related discipline
Level II background clearance
All Aspire Health Partners internships and careers require Level 2 clearance, with Aspire covering fingerprinting costs. Click https://info.flclearinghouse.c... to learn more
Acceptable Motor Vehicle Record (MVR)

Technologies

Power BI

Important information for applicants

This position is NOT remote
Hybrid work is not available
Relocation assistance is not offered
Level II background clearance is required; Aspire covers fingerprinting costs

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2d ago

Applied Data Scientist

Professional Staffing Services Orlando, FL 📍 Florida Remote

Orlando, FL

2d ago

$100k - $150k/yr Full time Analytics Artificial Intelligence Data Analysis

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Job Description

Applied Data Scientist contract-to-hire role based in Florida, remote with travel to Orlando for onboarding and occasional meetings.

Responsibilities

Model and solution development: translate ambiguous business questions into structured analytical and ML solutions; develop, validate, and optimize models impacting forecasting, segmentation, personalization, recommendation, or operational efficiency.
Production and MLOps: build production‑ready pipelines and deploy models into scalable environments using robust MLOps practices (CI/CD, automated testing, monitoring), ensuring long‑term lifecycle maintenance.
Collaboration and communication: partner across functions to align business requirements with technical design; communicate insights and technical decisions clearly to technical and non‑technical stakeholders.
Documentation and standards: document all models, pipelines, and deployment processes to ensure maintainability, reproducibility, and knowledge sharing.
Innovation: stay current with emerging tools, techniques, and frameworks in ML/AI to influence best practices across the organization.

Requirements

Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
Professional experience: 5+ years of industry experience in data science and machine learning, including ownership of model productization, monitoring, and iterative improvement.
Core ML experience: 3+ years building ML models for business applications, with deep expertise in both supervised and unsupervised learning algorithms.
Python: strong programming skills with hands-on experience building, training, deploying, and monitoring ML models.
SQL: 2+ years of experience with database querying, data preparation, and analysis.
Data warehousing: working knowledge of large-scale platforms such as Snowflake, SQL Server, BigQuery, or Redshift.
Cloud platforms: familiarity with AWS, Azure, or GCP and designing end-to-end ML pipelines from ingestion to production serving.
Execution skills: outstanding analytical abilities to diagnose and resolve complex system issues, with a proven track record of managing multiple projects and prioritizing tasks.

Technologies

Python
SQL
Snowflake
SQL Server
BigQuery
Redshift
AWS
Azure
GCP
SageMaker
Lambda
Airflow
MLflow
AWS Bedrock
Hugging Face

What Sets You Apart (Preferred Qualifications)

Advanced degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
Domain experience in entertainment or e-commerce, including theme parks, hospitality, live performances, ticketing, or retail marketplaces.
Advanced ML architectures for recommendations (collaborative filtering, content-based, transformer-based) plus data labeling, taxonomy design, and classification frameworks.
Generative AI familiarity with language modeling and frameworks like AWS Bedrock and Hugging Face.
Deep MLOps tooling experience with SageMaker, Lambda, Airflow, or MLflow, with ability to guide ML infrastructure decisions.

Education

Bachelor's degree preferred

Experience (Preferred)

Data science: 5 years (Preferred)
Machine learning: 5 years (Preferred)
SQL: 2 years (Preferred)
Python: 2 years (Preferred)
Data warehouse: 2 years (Preferred)
Cloud platforms: 2 years (Preferred)

Position Summary & Location Requirements

This is a Florida-based role with remote work flexibility. Day one onboarding requires travel to Orlando, FL, and occasional travel to Orlando for collaborative meetings, trainings, and business needs.

Work Location

In person

Compensation

Salary: USD 100,000 - 150,000 annually

About the Company

Professional Staffing Services' client delivers innovative, data driven insights and scalable AI solutions across the entertainment ecosystem. The Data Science team collaborates with data engineering, marketing, product, and executive teams to transform audience data into actionable strategies and operational products. The role emphasizes end-to-end modeling and production delivery from problem framing to data ingestion and model deployment, shaping value delivered to clients and internal stakeholders.

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14d ago

Sr. Data Analyst

Versant Media Orlando, FL

Orlando, FL

14d ago

Full time Senior Ai Ml Analyst

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Job Description

Versant Media seeks a Senior Data Analyst to join the AI, Modeling, and Strategy (AIMS) team in Orlando. This hybrid role focuses on sustaining and enhancing data products while building scalable analytics and AI capabilities that drive measurable value for internal stakeholders and external partners. The candidate collaborates across finance, product, pricing, marketing, and data services to translate business questions into robust analytical solutions.

Responsibilities

Design and operationalize advanced algorithms and automated analytical pipelines, covering clustering methods (k-means, hierarchical, DBSCAN, HDBSCAN), supervised learning (linear and logistic regression, decision trees, random forests, gradient boosting, XGBoost), time-series forecasting (ARIMA, Prophet, LSTM), optimization techniques, and probabilistic modeling for large, complex, and unstructured data.
Develop, refine, validate, and deploy scalable analytical and statistical models to produce actionable insights for key stakeholders.
Partner with finance, product, pricing, marketing, and data services to translate business questions into analytical solutions, productionize models using MLOps best practices, and support monitoring and maintenance of data products and models.
Cleanse, integrate, and validate data from multiple internal and external sources, applying data quality controls, feature engineering, and scalable transformation processes to ensure accuracy and readiness for analysis.
Evaluate model performance with appropriate metrics, diagnose anomalies and drift, conduct A/B testing and experiments, and define and monitor KPIs that support revenue, pricing, and growth initiatives.
Leverage modern AI and Generative AI technologies, including large language models and AI-assisted analytics tools, to streamline workflows, automate insight generation, and enhance decision-support capabilities.
Communicate analytical findings, model assumptions, and business implications to senior leadership, cross-functional teams, and external clients through clear presentations, visualizations, and documentation.

Requirements

Bachelor’s degree in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field.
At least 1 year of experience in data analytics, business intelligence, data science, or a related analytical role.
Strong SQL skills and proficiency in Python and/or R.
Experience with data visualization tools such as Tableau, Looker, or similar platforms.
Familiarity with GitHub for version control, collaborative development, code reviews, CI/CD workflows, and managing analytics and machine learning codebases.

Technologies

SQL, Python, R
Tableau, Looker
GitHub
XGBoost, Prophet, ARIMA, LSTM
Large Language Models (LLMs), MLOps

Benefits

Medical insurance
Dental insurance
Vision insurance
401(k)
Paid leave
Tuition reimbursement
Other discounts and perks

Desired Characteristics

Experience in pricing and/or marketing analytics is preferred
Familiarity with Media, News, or Entertainment content is preferred
Prior internship or work experience is preferred
Strong intellectual curiosity with excellent problem-solving and quantitative skills, including the ability to decompose complex problems, identify root causes, and propose effective solutions

Additional Requirements

Hybrid work arrangement: minimum three days per week in the Orlando, FL office; travel may be required for company or department meetings
This position is eligible for company-sponsored benefits, including medical, dental, and vision insurance; 401(k); paid leave; tuition reimbursement; and additional discounts and perks

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1mo ago

Data Engineer

Professional Staffing Services Group Orlando, FL

Orlando, FL

1mo ago Closed

$90k - $100k/yr Full time Python Apache Airflow Big Data

This position is no longer accepting applications (closed Jul 19, 2026).

Job Description

Data Engineer role in Orlando, FL onsite, focused on collecting, storing, processing, analyzing, and modeling large datasets to power data-driven applications and scalable analytics across the organization.

Responsibilities

Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines, including integrating new sources into the central data warehouse and moving data out to applications and affiliates.
Maintain, monitor, and optimize analytics data warehouses and the overall data platform.
Provide hands on development, deployment, maintenance, and support for a mix of cloud and on premise solutions, web service infrastructures, and supporting technologies.
Produce scalable, replicable code and engineering solutions to automate repetitive data management tasks.
Collaborate with project managers, business analysts, data scientists, and key stakeholders to translate business requirements into technical specifications and ensure data infrastructure meets business needs.
Continuously evaluate the technical strategy, identify performance gaps, and design creative solutions.

Requirements

Bachelor's degree in Computer and Information Science required; master's degree preferred.
Snowflake and Python certifications are highly preferred but not required.
Excellent interpersonal, communication, and problem solving skills; exceptionally organized with strong attention to detail, systemic thinking, and a collaborative, team-oriented mindset.
3+ years of related data engineering or IT experience.
Proven experience with Apache Spark, Hadoop, Java/Scala, Python, and AWS architecture.
Experience with Microsoft .NET technologies (C#, VB.Net) and designing, developing, and deploying Windows and Web applications.
Experience in data modeling and database development using PL/SQL, SQL Server (2016 or later), and Snowflake; strong working knowledge of relational databases and SQL.
Proven experience building data pipelines, APIs, and ETL flows in cloud and on premise environments using tools like Snowpipe, Informatica, Airflow, and Kafka.
Track record of manipulating, processing, and extracting value from large, disconnected, or unstructured datasets, with the ability to perform root cause analysis on data processes to identify business opportunities.

Technologies

Snowflake
Python
Apache Spark
Hadoop
Java
Scala
AWS
.NET technologies (C#, VB.Net)
PL/SQL
SQL Server
Snowpipe
Informatica
Airflow
Kafka
SQL

Salary

USD 90,000 - 100,000 per year

Education

Bachelor's (Preferred)

Experience

Data Engineering: 3 years (Preferred)
IT: 3 years (Preferred)
Big data and Cloud: 2 years (Preferred)
Data modeling: 2 years (Preferred)
ETL: 1 year (Preferred)
.NET: 1 year (Preferred)

Licenses and Certifications

Snowflake or Python certification (Preferred)

Location

Orlando, FL 32801 (Preferred)

Work Location

In person

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1mo ago

Senior Data Analyst

Tentek, Inc. Orlando, FL

Orlando, FL

1mo ago Closed

$65 - $68/hr Contract Senior Analyst Analytics

This position is no longer accepting applications (closed Jul 12, 2026).

Job Description

Tentek, Inc. is seeking a contract Senior Data Analyst/Engineer to join its Orlando-based, hybrid team. The role centers on building dashboards, steering AI initiatives, and driving continuous improvement across tech groups, while serving as a mini-Chief of Staff to the hiring manager and delivering strategic metrics, including OKR tracking. This position blends hands-on data work with high‑level guidance to support revenue growth and cost efficiency.

Responsibilities

Develop dashboards to monitor trends, deliver insights for multiple business areas, and track OKRs.
Engage in hands-on development with a strategic mindset to interpret trends, collaborate with the hiring manager, and act on findings.
Lead AI initiatives across the tech organization: determine how to leverage AI, promote adoption across job families, quantify impact such as efficiencies and faster sprints, and support business AI goals to grow revenue and reduce costs.
Drive continuous improvement by evaluating processes and identifying enhancements, aligned with dashboarding and AI efforts.
Prioritize building insights and dashboards to meet immediate needs, with AI initiatives advancing once dashboards are established.
Get oriented with OpenAI, Co Pilot, and various developer tools, including internal AI tools used within Corporate and Disney Experiences.

Requirements

Proficiency in Power BI as the main tool; Tableau knowledge is a plus.
Experience building dashboards and deriving insights to inform business decisions.
Ability to work hands-on while providing strategic guidance to leadership (mini-Chief of Staff).
Experience with AI initiatives including adoption, measuring impact, identifying efficiencies, and enabling faster sprints; ability to support AI initiatives across the organization.
Familiarity with OpenAI, Co Pilot, and internal/developer tools (including custom tools within Corporate and Disney Experiences).
Self-starter with a proactive, hands-on attitude.

Technologies

Power BI
Tableau
OpenAI
Co Pilot

Benefits

401(k)
Dental insurance
Health insurance
Vision insurance

Job Type

Contract

Pay

$65.00 - $68.00 per hour

Expected Hours

40 per week

Work Location

Hybrid remote in Orlando, FL 32819

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1mo ago

AI/Machine Learning Engineer Senior

Lockheed Martin Orlando, FL 🇺🇸 Remote

Orlando, FL

1mo ago Closed

Full time Artificial Intelligence Machine Learning Machine Learning Engineer

This position is no longer accepting applications (closed Jul 4, 2026).

Job Description

Orlando, FL remote role for a senior AI/ML engineer leading Lockheed Martin's LAIC AI Consulting portfolio, combining software engineering with AI/ML to deliver enterprise AI solutions.

Responsibilities

Partner with business stakeholders to identify opportunities and design AI solutions.
Model complex business and engineering challenges using machine learning and feature engineering techniques.
Deploy AI capabilities and manage projects through to completion.
Apply established ML and software engineering best practices.
Develop knowledge resources to disseminate best practices to other AI and data science teams.
Collaborate with data science leadership to teach and discuss best practices.

Requirements

Bachelor's degree in Engineering, Computer Science, or a related field with at least five years of professional experience.
Alternatively, a Master's degree with three years of professional experience.
Extensive experience applying ML techniques to business problems, including natural language processing, deep learning, anomaly detection, and reinforcement learning.
Proficiency in Python, TypeScript, or compiled languages such as C++, Go.
Experience implementing software and software engineering best practices.
US Citizenship required.

Technologies

Python
TypeScript
C++
Go (Golang)

Benefits

Flexible work schedules
Comprehensive benefits package

Qualifications

Bachelor's degree in Engineering, Computer Science, or a related field with at least five years of professional experience; or a Master's degree with at least three years.
Extensive experience applying ML techniques to business problems, including NLP, deep learning, anomaly detection, and reinforcement learning.
Proficiency in Python, TypeScript, or compiled languages such as C++, Go.
Experience delivering software and applying software engineering best practices.
US Citizenship required.

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1mo ago

Forge AI/Machine Learning Engineer Senior

Lockheed Martin Corporation Orlando, FL

Orlando, FL

1mo ago Closed

Full time Analytics Artificial Intelligence Data Analytics

This position is no longer accepting applications (closed Jul 1, 2026).

Job Description

Lockheed Martin Missiles and Fire Control invites you to join as a Forge AI/ML Engineer Senior, onsite in Orlando, Florida. This role leads end-to-end AI/ML pipelines and DevOps for defense programs, delivering measurable outcomes across engineering design, manufacturing, and operations. You will work directly with program customers, cross-functional teams, and stakeholders to turn data into capabilities. The position offers flexible schedules, comprehensive benefits, and relocation assistance where applicable.

Benefits

Flexible schedules
Comprehensive benefits
Relocation assistance possible

Responsibilities

Own the technical execution of the program customer project.
Leverage advanced analytics, statistical modeling, and machine learning to drive data-driven decision making across MFC engineering and production.
Apply advanced statistical techniques, machine learning algorithms, and data visualization methods to identify trends, patterns, and correlations in data from engineering development and production sources.
Develop, implement, and advocate for AI-powered solutions.
Design, develop, and deploy end-to-end AI/ML pipelines that support engineering design, manufacturing, and business operations challenges such as test point reduction, automated calibration, AI enhanced document search, and computer vision inspection.
Build and implement edge deployed AI/ML solutions for classified, air gapped environments.
Lead cross-functional solution teams across Engineering Design & Development, Production, and Business Operations using a standard consulting-style project framework.
Partner directly with program customers to understand pain points, define value-driven outcomes, and deliver measurable results in cost, labor, yield, and schedule metrics.
Own the full DevOps lifecycle including CI/CD, containerization, model monitoring, and governance for secure, high-assurance AI in defense systems.

Requirements

Master's or PhD in Computer Science, Computer Engineering, Data Science, Applied Mathematics, Engineering, Physics or a related field.
U.S. citizenship and ability to obtain a Department of Defense Secret Clearance; Interim clearance required to start.
Experience in AI/ML research and development with a strong background in machine learning, deep learning, and generative AI such as LLMs.
Proficiency with Python and agentic IDEs.
Experience with AI/ML frameworks and libraries, including TensorFlow, PyTorch, and MCPs.
Ability to lay out technical roadmaps and communicate plans and solutions to both highly technical and non-technical stakeholders.

Technologies

Python
TensorFlow
PyTorch
LLMs
MCPs
CI/CD
Containerization
MLOps

Security and Clearance

This position requires a government security clearance. You must be a United States citizen for consideration. A Secret clearance is required, with a company-sponsored interim Secret clearance to start.

Clearance level

Secret

Experience level

Experienced Professional

Business unit

Missiles and Fire Control

Relocation

Possible

Career area

Software Engineering

Type

Full-Time

Location

Orlando, FL onsite. Nationwide and OCONUS positions.

Schedule

First shift, 4x10 hour days, 3 days off per week.

Ability to work remotely

Onsite full-time

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1mo ago

Data Analyst

Crestwood Technology Group Corp Orlando, FL

Orlando, FL

1mo ago Closed

$80k - $100k/yr Full time Analyst Analytics Apache Airflow

2mo ago

Sr Salesforce Health Cloud Data Engineer

Cook Systems Orlando, FL 🇺🇸 Remote

Orlando, FL

2mo ago Closed

Full time Senior Azure Data Factory Data Analysis

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