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Data Optimization Jobs in Florida (NOW HIRING)

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

Optimizing data systems and building them from the ground up. In your role, you will work with our software developers, database architects, data analysts, and data scientists on data initiatives and ...

TransPerfect

SEO Specialist

Miami, FL · Remote

They work alongside Sales to pitch digital marketing services and data-driven strategies to ... The SEO Specialist is strategic and data-driven, commercially minded and client-focused. They find ...

Gartner

Director, SEO

Fort Myers, FL · On-site

Partner with analytics to ensure data accuracy, integrity, and scalability of measurement and translate data into actionable insights * Establish measurement frameworks for SEO and AEO, including ...

Gartner

Director, SEO

Fort Myers, FL · Hybrid

Partner with analytics to ensure data accuracy, integrity, and scalability of measurement and translate data into actionable insights * Establish measurement frameworks for SEO and AEO, including ...

Argon Agency

Local SEO Coordinator

West Palm Beach, FL · On-site

$18 - $25/hr

Perform data entry and maintain organized records related to SEO tasks and campaigns * Follow established SEO processes, checklists, and workflows * Support additional SEO tasks as needed, including ...

GOJA, LLC

Director, SEO

Miami, FL · On-site

Experience using data and analytics tools to understand traffic patterns and user behavior ... Knowledge of standard and current SEO practices including SEO reporting * 2-4 years of demonstrated ...

Chatter Buzz

SEO Associate

Orlando, FL · On-site

We do this by offering best in class marketing strategy, backed by data, and driven through a variety of interactive tools that fuel our passion for the digital space. You, the SEO Associate of our ...

GOJA, LLC

Director, SEO

Miami, FL

Experience using data and analytics tools to understand traffic patterns and user behavior ... Knowledge of standard and current SEO practices including SEO reporting * 2-4 years of demonstrated ...

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Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

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

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are the most commonly searched types of Data Optimization jobs in Florida? The most popular types of Data Optimization jobs in Florida are:
What are popular job titles related to Data Optimization jobs in Florida? For Data Optimization jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Optimization jobs in Florida look for? The top searched job categories for Data Optimization jobs in Florida are:
What cities in Florida are hiring for Data Optimization jobs? Cities in Florida with the most Data Optimization job openings:
Data Optimization jobs near you
Infographic showing various Data Optimization job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Scientist - Pricing & Revenue Optimization

DHL Regional Services, Inc.

Plantation, FL

Other

Posted 3 days ago

New

Job description

Data Scientist - Pricing & Revenue Optimization


Role Overview

We are seeking a highly analytical and commercially driven Data Scientist to join our Regional Pricing & Products team. This role is critical to driving profitable growth, yield optimization, and customer retention through advanced analytics, machine learning, and experimentation.

You will support the design and deployment of pricing models that enhance willingness-to-pay estimation, optimize customer lifetime value, and proactively identify risks to revenue and margin across customer segments. This position requires a strong combination of data science expertise, business acumen, and the ability to translate insights into actionable pricing strategies.



Key Responsibilities

1. Pricing & Willingness-to-Pay Modeling
  • Develop and enhance willingness-to-pay (WTP) models using machine learning techniques.
  • Analyze customer behavior, shipment characteristics, and competitive dynamics to improve pricing precision.
  • Build segmentation-based pricing strategies to maximize yield while maintaining competitiveness.

2. Revenue Growth & Yield Optimization
  • Design optimization models to balance volume growth vs. margin expansion.
  • Implement dynamic pricing strategies tailored to customer segments and product lines.

3. Customer Retention & Churn Reduction
  • Develop predictive models to identify churn risk and retention opportunities.
  • Design and evaluate pricing experiments (A/B testing, elasticity testing) to improve customer stickiness.

4. Predictive Analytics & Risk Identification
  • Analyze trends and forecast customer-level and segment-level revenue patterns.
  • Identify early warning signals of top-line and bottom-line risks.
  • Propose data-driven mitigation strategies and commercial actions.

5. Experimentation & Model Deployment
  • Build and manage pricing experimentation frameworks.
  • Collaborate with IT and data engineering to deploy models into production environments.

6. Stakeholder Collaboration
  • Partner with Sales, Pricing, Finance, Operations and Marketing teams to translate insights into action.
  • Communicate complex analytical findings to non-technical stakeholders effectively.


Required SkillsTechnical Skills
  • Strong expertise in:
    • Python or R (pandas, NumPy, scikit-learn, etc.)
    • SQL for large-scale data extraction and transformation
  • Experience with:
    • Machine learning models (regression, classification, clustering)
    • Optimization techniques (linear programming, pricing optimization)
    • Time-series forecasting
  • Knowledge of:
    • A/B testing and experimentation design
    • Elasticity modeling and demand forecasting
  • Familiarity with big data tools (e.g., Spark) and cloud environments is a plus
Analytical & Business Skills
  • Strong understanding of pricing strategy and revenue management principles
  • Ability to connect modeling outputs to commercial outcomes
  • Experience in customer segmentation and behavioral analytics

Soft Skills
  • Excellent communication and storytelling skills with data
  • Ability to influence senior stakeholders
  • Strong collaboration in cross-functional, global teams
  • High level of ownership and results orientation

Experience & Qualifications
  • Bachelor's degree in Data Science, Statistics, Economics, Engineering, Mathematics, or related field
  • 4-8+ years of experience in data science, preferably in:
    • Pricing / revenue management
    • Logistics, transportation, airlines, or e-commerce industries
  • Proven track record of:
    • Deploying predictive models in production
    • Driving measurable business impact (revenue growth, margin improvement, retention)
  • Experience working with commercial or pricing teams is highly desirable

Apply