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Data Science Associate Jobs in Altamonte Springs, FL

Orlando Health

Medical Lab Scientist II

Orlando, FL · On-site

Verifies results and quality control data for accuracy and reliability. * Performs, evaluates, and ... Associate's degree and two years of directly related experience may substitute for the Bachelor ...

MHI

Warranty PM Associate

Lake Mary, FL · On-site

Analyze warranty data and identify trends that support root cause investigations and corrective ... Currently enrolled in a Bachelor of Science program in Mechanical Engineering, Industrial ...

VTG

Associate Software (Full-Stack) Developer

Orlando, FL · On-site

$85K - $115K/yr

This role sits at the intersection of data engineering, full-stack development, and mission ... Bachelor's degree in Computer Science, Software Engineering, or related technical field * 1-5 years ...

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All JobsData Science Associate JobsData Science Associate Jobs in Altamonte Springs, FL

Data Science Associate information

See Altamonte Springs, FL salary details

$53.7K

$63.6K

$120.6K

How much do data science associate jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science associate in Altamonte Springs, FL is $63,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,200.00 and $55,600.00 per year, depending on experience, location, and employer.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Altamonte Springs, FL? The most popular types of Data Science jobs in Altamonte Springs, FL are:
What job categories do people searching Data Science Associate jobs in Altamonte Springs, FL look for? The top searched job categories for Data Science Associate jobs in Altamonte Springs, FL are:
What cities near Altamonte Springs, FL are hiring for Data Science Associate jobs? Cities near Altamonte Springs, FL with the most Data Science Associate job openings:
Data Science Associate jobs near you

Senior Consultant, Mobile App Engineer

Travel Leisure Resort Development Inc

Orlando, FL • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Senior Mobile App Consultant

Design, develop, and lead mobile application solutions for a global travel and leisure company, focusing on Flutter-based mobile platforms and Java-based backend services.

Essential Job Responsibilities
  • Technical Leadership
    • Lead architecture and technical design for mobile applications, Java BFF services, APIs, and enterprise integrations.
    • Champion AI‑enabled software development practices, productivity tools, and engineering automation opportunities.
    • Establish engineering standards, development frameworks, and reusable design patterns that promote scalability, security, and maintainability.
    • Provide technical direction, design approaches, and articulate mobile delivery best practices.
    • Oversee multiple cross‑functional teams to ensure adherence to mobile architectural standards and pattern reuse.
  • Full Stack Development
    • Contribute hands‑on to full‑stack development spanning Flutter front‑end applications and Java back‑end services, including BFF layers, REST APIs, and microservices.
    • Write and review production‑quality code across the stack to maintain technical credibility and ensure architectural decisions remain grounded.
    • Leverage AI‑enabled development tools to accelerate delivery, improve code quality, and model efficient engineering practices.
  • AI Enablement & Innovation
    • Champion adoption of AI‑enabled development tools across the mobile engineering organization.
    • Drive opportunities to embed AI‑powered capabilities into customer‑facing mobile experiences, partnering with product and architecture teams.
    • Serve as an internal thought leader on emerging AI technologies and their impact on engineering velocity and product differentiation.
  • Architecture & Solution Design
    • Define mobile platform architecture and lead technical evaluation of vendors with clear build‑vs‑buy recommendations.
    • Contribute to the design and rollout of mobile applications, enabling reuse and scalability across business solutions.
    • Collaborate with Enterprise Architecture team to balance architectural recommendations with delivery strategy.
    • Review and approve solution designs for alignment with enterprise guidelines, performance SLAs, and quality benchmarks.
  • Observability & Operational Excellence
    • Establish observability standards across mobile and back‑end services, including logging, monitoring, alerting, and distributed tracing.
    • Partner with Infrastructure and Quality Engineering to build dashboards and alerting pipelines.
    • Drive teams to build observability into design from the outset, improving reliability and reducing time to resolution.
  • Strategic Collaboration & Project Leadership
    • Engage with IT teams during PMLC and SDLC phases.
    • Lead estimation sessions, recommend mobile delivery approaches, and ensure alignment with business objectives and technical constraints.
    • Guide implementation of mobile personalization and recommendation features in customer‑facing channels.
    • Communicate technical strategy, delivery progress, and risks to executive leadership.
  • Technical Guidance & Mentorship
    • Provide mobile application and design guidance to technical staff through oversight of complex business requirements analysis.
    • Mentor junior and mid‑level mobile engineers.
    • Support process enhancements and improvements across delivery teams.
Travel Requirements

Travel: Less than 10%.

Minimum Requirements and Qualifications
  • Education – Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or related field. Master’s degree or related field preferred.
  • Knowledge and Skills – Strong analytical, logical reasoning, and problem‑solving skills; excellent written and oral communication; ability to set technical direction, define standards, and guide delivery teams.
  • Experience – Consulting and collaborating with customers; senior‑level development experience with full‑stack capability across mobile and back‑end services; practical experience applying AI to boost development productivity and build AI‑powered customer‑facing features; proven ability to translate business requirements into scalable mobile solutions; experience leading diverse teams; managing relationships with mobile application vendors and cloud service providers; strong teamwork, interpersonal, and conflict resolution skills.
  • Technical Skills – Mobile solutions: Flutter, Dart, iOS, Swift, Xcode, Android, Kotlin, Firebase; Backend: Java, J2EE, Spring Boot, REST APIs, AWS/Azure; AI‑enabled development tools and engineering automation solutions; CI/CD pipelines (GitHub, GitHub Actions, Jenkins, SonarQube); containerization (Docker, Kubernetes); API development; enterprise integration and deployment.
How You’ll Be Rewarded
  • Comprehensive health and welfare benefits for full‑time associates (30+ hours per week).
  • Medical, dental, vision, flexible spending accounts, life and accident coverage, disability.
  • Paid time off, parental leave, holidays (details discussed with recruiter).
  • 401(k) with employer match (subject to eligibility).
  • Employee Wellness program and Employee Assistance Program.
  • Optional volunteer day off to support an approved organization.

We are an equal opportunity employer, and all applications will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to MyCareer@travelandleisure.com, including the title and location of the position for which you are applying.

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