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Data Science And Analytics Jobs in Boca Raton, FL

US DEFAULT GROUP, INC.

Data & AI Engineer

Boca Raton, FL · On-site

$170 - $230/hr

Bachelor's degree in Computer Science, Data Science, Analytics, or related field (Master's degree is preferred). * 7+ years of software, data, AI or platform engineering experience. * 5+ years ...

Munich Re

Data Scientist

Fort Lauderdale, FL · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

INSPYR Solutions

Senior Data Scientist

Hollywood, FL · On-site

Experience with data science modeling, statistics, analytics, business intelligence, or data-driven business strategy * Proven experience in model measurement, monitoring, and tuning within a ...

Td

Data Scientist III - FCRM

Fort Lauderdale, FL · On-site

$96K - $155K/yr

Analytical thought leadership and stays current on developments in data mining and the application of data science * Solicits and offers ideas for improving business processes through insights with ...

Motorola

Portfolio Data Analyst

Plantation, FL

Bachelor's degree in Economics, Business Analytics, Data Science, Finance, STEM, or a related quantitative field * Experience : 2 to 4 years of experience as a data analyst, financial analyst ...

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All JobsData Science And Analytics JobsData Science And Analytics Jobs in Boca Raton, FL

Data Science And Analytics information

See Boca Raton, FL salary details

$35.5K

$116.1K

$185.9K

How much do data science and analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science and analytics in Boca Raton, FL is $116,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

What cities near Boca Raton, FL are hiring for Data Science And Analytics jobs?

Cities near Boca Raton, FL with the most Data Science And Analytics job openings:

Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,124 per year, or $55.8 per hour.

Data Science & Business Intelligence Analyst

BlueTeam

Boca Raton, FL • On-site

$75K - $95K/yr

Full-time

Posted 10 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

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