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Resultstack Jobs in Florida (NOW HIRING)

Must be a US Citizen or Hold a Green Card ABOUT THE ROLE We are looking to hire a Data Scientist who can transform the complexity of global shipping and logistics into clear, actionable intelligence.

Resultstack information

What are the key skills and qualifications needed to thrive as a Resultstack developer, and why are they important?

To thrive as a Resultstack developer, you need strong skills in web application development, particularly with modern JavaScript frameworks and backend technologies, along with a relevant degree or equivalent experience. Experience with cloud platforms, RESTful APIs, version control (such as Git), and Agile methodologies is typically required. Problem-solving, effective communication, and adaptability are crucial soft skills that help developers excel in collaborative and fast-paced environments. These abilities ensure the delivery of robust, scalable solutions that meet client needs and adapt to evolving project requirements.

How does a developer at Resultstack typically collaborate with cross-functional teams during a project lifecycle?

At Resultstack, developers work closely with project managers, UI/UX designers, and QA engineers to deliver client solutions. Collaboration usually involves daily stand-ups, regular sprint planning, and code review sessions to ensure everyone is aligned and project goals are met efficiently. Developers often participate in client meetings to gather requirements and provide technical input, making strong communication and teamwork skills essential. This cross-functional interaction not only streamlines workflow but also offers opportunities for learning and professional growth.

What is a Resultstack?

Resultstack is not a widely recognized job title or term in common industries. It may refer to a specific company, technology stack, or proprietary tool used within certain organizations. If you are referring to a company named Resultstack, it is an agency specializing in digital marketing, web development, and analytics solutions. Their team works with businesses to improve online presence, user experience, and data-driven marketing strategies. For more information, you should visit their official website or contact them directly.

What is the difference between Resultstack vs Data Analyst?

AspectResultstackData Analyst
Required CredentialsTypically no formal certifications required, but familiarity with data tools is beneficialBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentOften project-based, working with marketing or sales teams to optimize resultsCorporate or consulting settings, analyzing data to inform business decisions
Industry UsageUsed mainly in marketing, advertising, and e-commerce sectorsWidely used across finance, healthcare, retail, and technology industries
Common Search & ComparisonResultstack vs Data Analyst

Resultstack focuses on marketing automation and campaign optimization, often requiring familiarity with digital tools. Data Analysts analyze data to support strategic decisions across various industries. While both roles involve data, Resultstack is more specialized in marketing tech, whereas Data Analysts have broader analytical responsibilities.

What cities in Florida are hiring for Resultstack jobs? Cities in Florida with the most Resultstack job openings:
Infographic showing various Resultstack job openings in Florida as of May 2026, with employment types broken down into 100% Full Time. Highlights an 71% Physical, and 29% Remote job distribution.
Sr. Data Scientist

Sr. Data Scientist

ResultStack

Miami, FL • On-site

Full-time

Posted 7 days ago


Job description

Must be a US Citizen or Hold a Green Card


ABOUT THE ROLE

We are looking to hire a Data Scientist who can transform the

complexity of global shipping and logistics into clear, actionable

intelligence. You'll work across operations, engineering, and leadership

to build predictive systems that optimize routes, forecast demand, and

surface insights that keep cargo moving. This is a high-impact role at the

intersection of data science, operational expertise, and emerging AI.

CORE REQUIREMENTS

This candidate will have Dashboard & BI Tooling. Being Fluent in

Tableau, Power BI, Looker, or equivalent. They will be able to model data

and present it for both technical and executive audiences.

They will have Complex Data Fluency. Being very comfortable

wrangling large, noisy datasets --- EDI records, tracking logs, port data,

weather overlays, and multi-model feeds.

They will do Predictive Modeling. Having proven experience building

ML models from messy. High-dimensional datasets (time series, sensor

data, ETA prediction, etc.).

They will be well versed in AI & Machine Learning. Having Hands-On

experience with LLM's, NLP, computer vision, or operations research

applied to real-world logistics problems.

This candidate must also be excellent in Collaboration &

Communication. They can translate model outputs into business

decisions. They will also possess strong documentation habits and

cross-functional alignment skills.

WHAT YOU'LL WORK ON

Route optimization and transit time prediction models Anomaly

detection in shipment and carrier data Real-time operational

dashboards for fleet and port performance AI-assisted demand

forecasting for freight capacity planning Cross-team data

infrastructure and model deployment support.

REQUIREMENTS

6+ Years in shipping, freight, logistics, or supply chain,

Understand how cargo and data both move.

NICE TO HAVES

Python, R, or SQL --- scripting and querying at production scale.

Software Development Principles: version control (Git), CI/CD, API

integration. Familiarity with containerization (Docker) or cloud

platform (AWS, GCP, Azure). Experience building data pipelines or ETL

workflows.