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Business Science Jobs in Florida (NOW HIRING)

Project Management Advisor

Miami, FL ยท On-site

$80 - $100/hr

Minimum Education Bachelor's Degree or equivalent in business, science, technology, engineering, mathematics, communications or related field. Minimum Experience Five (5) years professional work ...

New

Bachelor's degree in business, science, or related field or equivalent work experience * 2+ years primary care pharmaceutical sales experience required * Rheumatology experience preferred * Launch ...

We are seeking a qualified Business and Data Analyst who possesses a strong blend of data science expertise and business insight. This role offers a unique opportunity to join a forward-thinking ...

Octagon Talent Solutions is seeking a qualified Business and Data Analyst who possesses a strong blend of data science expertise and business insight. This role offers a unique opportunity to join a ...

Data Science Tutor

Miramar, FL ยท Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Orlando, FL ยท Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Jacksonville, FL ยท Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Showing results 21-40

Business Science information

See Florida salary details

$20.9K

$63.7K

$133.8K

How much do business science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for business science in Florida is $63,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $83,300.00 per year, depending on experience, location, and employer.

What is a business science?

A Business Science job involves using data science, analytics, and business strategy to drive decision-making and improve business performance. Professionals in this field analyze large datasets, develop predictive models, and use statistical methods to provide insights that support organizational goals. They often work in roles such as business analysts, data scientists, or strategy consultants, applying analytical techniques to solve real-world business challenges. The role requires a mix of technical skills, such as programming and machine learning, along with business acumen and problem-solving abilities.

What are the typical projects or responsibilities for a business science professional?

A Business Science professional typically works on projects involving business process optimization, forecasting, market analysis, and identifying data-driven strategies to improve company performance. Responsibilities often include gathering and analyzing large datasets, developing predictive models, and collaborating closely with cross-functional teams such as marketing, finance, and operations. You may also be tasked with presenting actionable insights to stakeholders and contributing to strategic business initiatives. The role provides a dynamic environment that blends technical analysis with real-world business impact, making every day both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the business science position, and why are they important?

To thrive in a Business Science role, you need strong analytical, data management, and problem-solving skills, often supported by a degree in business analytics, data science, or a related field. Familiarity with analytical tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI, along with relevant certifications, is highly beneficial. Excellent communication, teamwork, and the ability to translate complex data into actionable business strategies are key soft skills. These abilities enable professionals to effectively leverage data insights to drive decision-making and deliver measurable business value.

What can you do with a business science degree?

A business science degree prepares individuals for roles in data analysis, management, consulting, and strategic planning. Graduates often work in industries such as finance, marketing, or operations, utilizing skills in analytics, problem-solving, and business tools like Excel or SQL.

What do business scientists do?

Business scientists analyze data to identify trends, develop insights, and support decision-making within organizations. They often use statistical tools, machine learning, and data visualization to solve complex business problems and improve strategies.

What are popular job titles related to Business Science jobs in Florida?

For Business Science jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Business Science jobs in Florida look for?

The top searched job categories for Business Science jobs in Florida are:

What cities in Florida are hiring for Business Science jobs?

Cities in Florida with the most Business Science job openings:

Infographic showing various Business Science job openings in Florida as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $63,653 per year, or $30.6 per hour.

Data Science & Business Intelligence Analyst

BlueTeam

Boca Raton, FL โ€ข On-site

$75K - $95K/yr

Full-time

Posted 8 days ago


Job description

Job Title: Data Science & Business Intelligence Analyst
Department: Corporate
Reports To: President
Location: Boca Raton, FL (in-office position; not remote or hybrid)
FLSA Status: Exempt
Company Summary
BlueTeam is a US-based provider of national disaster recovery, remediation, reconstruction, renovation, and roofing services for commercial properties. Our core business focuses on cleanup and mitigation efforts for recovery from fire damage, roof leaks, flooding, pipe bursts, and post-disaster remediation due to severe weather. We exclusively serve commercial sectors including hospitality, senior housing, healthcare, commercial offices, municipalities, multifamily living, and institutional markets.
SUMMARY:
The Data Science & Business Intelligence Analyst serves as the company's primary quantitative resource, transforming data from project, financial, and customer systems into decisions leadership can act on. The role spans the full analytical range: data acquisition and modeling, recurring and ad hoc reporting, statistical and predictive modeling, and the applied use of artificial intelligence to extract structured information from the document-heavy workflows that drive this business.
The analyst will work with structured and unstructured data, build and maintain the reporting layer, develop forecasting and predictive models, validate those models against actual results, and automate manual processes. The standard for this role is defensibility: every number produced must reconcile to its source system, and every model must be documented, tested against data it was not trained on, and explainable to a non-technical audience. Selecting the simplest method that answers the question is preferred over sophistication for its own sake.
This position supports the executive team crossing all departments of the Company. Initial priorities will center on sales reporting, expanding to enterprise analytics as the reporting foundation matures.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Data Analytics & Business Intelligence
  • Collect, clean, validate, and transform data from multiple source systems, including project management, accounting, CRM, and field data collection platforms.
  • Develop dashboards, reports, and visualizations that provide actionable insights.
  • Analyze historical trends, operational performance, productivity metrics, and business outcomes, including job-level margin, estimate versus actual variance, backlog and pipeline conversion, win rates by client and business unit, and receivable aging and collection cycle time.
  • Create recurring and ad hoc reporting for leadership teams.
  • Identify patterns, risks, and opportunities through quantitative analysis.
  • Build and maintain the queries, extracts, and pipelines that feed the reporting layer, including API-based extraction from source systems.
  • Reconcile reporting to the general ledger and to source systems so that analytical output and financial reporting do not diverge.

Data Science, Statistics & Predictive Analytics
  • Build forecasting models for revenue, backlog conversion, labor and equipment demand, and cash flow, accounting for the seasonality and catastrophe-driven volatility inherent to storm restoration work.
  • Design and interpret experiments, quantify statistical significance, and measure realized business impact against forecast.
  • Present quantitative findings with stated confidence, known limitations, and the reasoning behind method selection.

AI, Automation & Applied Machine Learning
  • Apply large language model tooling to production analytical workflows, including structured data extraction from unstructured documents, classification, and summarization, rather than ad hoc manual prompting alone.
  • Develop AI-assisted processes to streamline reporting, research, document review, and decision support, with human review controls at each output stage.
  • Evaluate emerging AI capabilities and recommend practical business applications, including build versus buy assessment and cost per unit of output.
  • Build automated workflows that reduce manual effort and increase efficiency

Data Management & Governance
  • Ensure data accuracy, integrity, and consistency across reporting systems.
  • Support data governance initiatives, validation processes, and data quality improvements.
  • Partner with stakeholders to establish reporting standards and best practices.
  • Document data sources, transformations, model logic, and code so that all work is reproducible by someone other than the author.

Cross-Functional Collaboration
  • Partner with business leaders to understand strategic priorities and deliver data-driven recommendations.
  • Present findings to both technical and non-technical audiences.
  • Support initiatives across Sales, Operations, Finance, Marketing, and Executive Leadership.
  • Translate complex analyses into actionable business recommendations.
  • Challenge analytically unsupported conclusions, including those already held by leadership, and state plainly where available data is insufficient to answer the question asked.

QUALIFICATIONS:
  • 5 years of progressive experience in data analytics, data science, business intelligence, or a related quantitative field, including hands-on ownership of both reporting and predictive modeling work.
  • Strong analytical and problem-solving skills with experience interpreting large datasets.
  • SQL proficiency sufficient to write and optimize multi-table joins, aggregations, and window functions against a production database without assistance.
  • Working proficiency in Python or R for data manipulation, statistical analysis, and modeling (for example pandas, scikit-learn, stats models, or equivalent libraries).
  • Demonstrated experience building, validating, and putting into use at least one forecasting or predictive model that informed an operating decision.
  • Expert proficiency in Excel, including advanced formulas, pivot tables, dynamic financial and operational models, and AI-assisted model development.
  • Proficiency in CRM platforms, with hands-on experience across multiple systems; ability to navigate, maintain data integrity, and extract insights across different systems environments.
  • Proficiency in Power BI, including dashboard design, DAX formulas, and data modeling.
  • Working proficiency with current AI tooling applied to real analytical work, including prompt design, structured output, and validation of AI-generated results before use.
  • Excellent communication skills with the ability to translate data into clear insights.

Preferred Qualifications
  • Background in construction, restoration, insurance, or another project-based industry is not required but is a plus.
  • Experience building automated dashboards and reporting systems.
  • Demonstrated ability to use AI for prospect and client research, including synthesizing information from multiple sources into actionable sales intelligence and executive-ready presentations.
  • Experience with cloud data platforms and pipeline orchestration
  • Experience with large language model APIs, retrieval methods, embeddings, and evaluation techniques.

EDUCATION and/or EXPERIENCE:
  • Bachelor's degree in statistics, mathematics, economics, data science, computer science, engineering, business analytics, or another quantitative discipline.

PHYSICAL DEMANDS: While performing the duties of this job, the employee is regularly required to type and look at a computer screen for long periods of the day. The employee must be able to sit for long periods of time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required.
NOTE: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. BBMK Contracting, LLC dba BlueTeam (BlueTeam) is a Drug Free Workplace as well as an Equal Opportunity Employer. Qualified applicants shall be considered for all positions without regard to race, color, sex, religion, national origin, age, disability, veteran status, or any other status