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Remote Data Scientist Jobs in Boca Raton, FL (NOW HIRING)

Strategy and Market Intelligence Lead

FL · On-site +1

$96K - $192K/yr

Master's degree, preferably in Business Administration or Data Science/Analytics * Experience with ... Palm Beach Gardens (FL) / Indianapolis (IN) / or remote in the USA. Relocation * Not offered for ...

HRIS Manager

Fort Lauderdale, FL · Remote

$140K - $160K/yr

This is a fully remote position that offers a competitive salary range of $140,000 to $160,000 ... Ensure data integrity, governance, and compliance, including security roles and audit controls

HRIS Manager

Fort Lauderdale, FL · Remote

$140K - $160K/yr

Ensure data integrity, governance, and compliance, including security roles and audit controls ... Bachelor's degree in Human Resources, Information Technology, Computer Science, or related field ...

SAP ABAP/Fiori Developer

Fort Lauderdale, FL · Remote

$58.75 - $79.50/hr

This remote role involves developing and enhancing SAP S/4HANA 1909 solutions, with a focus on ... Ensure seamless operation and data flow across higher education business functions. Developer ...

SAP ABAP/Fiori Developer

Fort Lauderdale, FL · Remote

$58.75 - $79.50/hr

This remote role involves developing and enhancing SAP S/4HANA 1909 solutions, with a focus on ... Ensure seamless operation and data flow across higher education business functions. Developer ...

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Remote Data Scientist information

See Boca Raton, FL salary details

$35.5K

$116.1K

$185.9K

How much do remote data scientist jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote data scientist 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 the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficient analysis.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to work alongside AI tools, leveraging skills in programming, statistics, and domain knowledge to develop and refine AI systems. The demand for data scientists remains strong as organizations seek to extract insights and create value from complex data sets.

Can I get a remote job as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, statistical analysis, and tools like Python or R, along with good communication abilities. Job seekers should review specific job descriptions to confirm remote work options and requirements.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Boca Raton, FL? The most popular types of Data Scientist jobs in Boca Raton, FL are:
What are popular job titles related to Remote Data Scientist jobs in Boca Raton, FL? For Remote Data Scientist jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Boca Raton, FL look for? The top searched job categories for Remote Data Scientist jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Remote Data Scientist jobs? Cities near Boca Raton, FL with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Boca Raton, FL as of June 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,124 per year, or $55.8 per hour.
Principal Engineer, Global Reliability - Remote

Principal Engineer, Global Reliability - Remote

ASR Group

West Palm Beach, FL • Remote

$99K - $124K/yr

Other

Posted 8 days ago


Job description

The ASR Group family of companies make up the world's largest refiner and marketer of cane sugar. The companies produce a full line of grocery, industrial, foodservice and specialty sweetener products. Across North America, ASR Group companies operate five sugar refineries, located in California, Maryland, Louisiana, Canada and Mexico. In Europe, ASR Group companies operate sugar refineries in the United Kingdom, Portugal, and, with a joint venture partner, Italy. The companies also farm sugarcane and own sugar mills in Mexico and Belize. The ASR Group portfolio includes the leading brands Domino, C&H, Florida Crystals, Redpath, Tate & Lyle, Lyle's, Sidul and Whitworths.  ASR Group companies also produce and market Tellus, a single-use, compostable tableware and foodservice product made from plant fibers, including sugarcane.

OVERVIEW

The Principal Engineer, Reliability is a Director-level enterprise leader responsible for defining and advancing the company's global reliability strategy. This role owns the development of standards, frameworks, and best practices for RCM, predictive maintenance, and asset lifecycle management across all manufacturing sites.

Serving as a trusted advisor to senior leadership, this position drives enterprise-wide transformation in Organizational structure, equipment reliability, asset risk management, and cost performance-leveraging advanced analytics, failure elimination methodologies, and cross-functional influence to deliver results at scale without direct people management.

LOCATION OF ROLE

  • This role is remote with 40%-50% domestic and international travel to support multisite initiatives, engage with crossfunctional teams, and oversee project execution. 

Key Responsibilities

  • Serve as the global technical authority for reliability engineering standards, methodologies, and best practices.
  • Define, maintain, and govern enterprise reliability standards, tools, and frameworks.
  • Lead the technical deployment and sustainment of Reliability-Centered Maintenance (RCM) across critical asset classes.
  • Ensure critical equipment has documented failure modes, risk-based maintenance strategies, and performance expectations.
  • Provide expert guidance on predictive maintenance, condition monitoring, and data analytics applications.
  • Analyze performance data to identify systemic failure patterns and recommend permanent corrective actions.
  • Lead or support Root Cause Failure Analysis (RCFA) for complex or high-risk equipment failures.
  • Support capital projects by embedding reliability and maintainability requirements into design, specification, and asset handover.
  • Mentor and influence site reliability engineers through technical coaching and knowledge sharing.
  • Partner with site, regional, and corporate leaders to improve OEE, MTBF, MTTR, and asset availability.

Preferred Qualifications & Experience

  • Bachelor of Science in Engineering from an ABET-accredited university.
  • 20+ years of experience in industrial or large-scale manufacturing environments.
  • 10+ years of advanced experience in reliability engineering, maintenance engineering, or asset management.
  • Recognized expertise in Reliability-Centered Maintenance, failure elimination, and predictive maintenance.
  • Demonstrated experience influencing reliability practices across multiple sites or regions.
  • Strong analytical, problem-solving, and technical communication skills.
  • Experience supporting global manufacturing operations with diverse asset profiles.
  • Familiarity with digital reliability platforms, advanced analytics, and Industry 4.0 concepts.
  • Professional engineering licensure or relevant reliability certifications (e.g., CMRP, CRE).

Core Competencies:

    • Analytical Thinking & Decision Making - Identifies and understands trends and/or issues; connects data points through analysis to arrive at a logical conclusion.
    • Business & Financial Acumen - Demonstrates knowledge and understanding of the financial, accounting, marketing and operational functions of our organization; interpreting and applying understanding of key financial indicators to make better corporate decisions.
    • Effective Communication - Expresses ideas and information in a clear and concise manner by tailoring one's message to fit the interests and needs of the audience.
    • Customer Orientation - Keeps internal and/or external customer(s) in mind at all times.  Strives to proactively address customer concerns and needs.  Assists business partners and customers to achieve their work goals via application of their own skills and knowledge; strives to provide consistent customer satisfaction.
    • Establishes Trust - Gaining the confidence and faith of others by actions and words that promote being honest, forthcoming, integrious and vulnerable.
    • Problem-Solving - Anticipates, evaluates, diagnoses, and resolves problems in a systematic and fact-based manner.
    • Results Orientation & Accountability - Takes accountability, identifies, executes and drives actions to consistently achieve desired results.
    • Teamwork & Collaboration - Creates a climate that fosters commitment to a common vision and shared values that promote cooperation and working together through trust and support of others.

Individual Contributor:

    • Adaptability/Flexibility - Maintaining effectiveness in varying environments and with different tasks, responsibilities and people.
    • Continuous Improvement - Establishes methods and utilizes specialized techniques to monitor and improve performance of systems and processes.
    • Self-Development - Seeks feedback on one's strengths and weaknesses and initiates activities to increase or enhance their knowledge, skills, and proficiency in order to perform more effectively or enhance their career.

We are an equal opportunity employer. We do not discriminate on the basis of race, color, creed, religion, gender, sexual orientation, gender identity, age, national origin, disability, veteran status or any other category protected under federal, state, or local law. All employment is decided on the basis of qualifications, merit, and business need.Â