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Data Optimization Jobs (NOW HIRING)

CSS, Inc

Data Scientist

Charleston, SC · On-site

Ability to implement an effective data quality assurance process, data optimization, and documentation procedures. * Read, scope, author, and/or execute code of varying degrees of complexity for ...

Itero Group

Data Analyst

Sterling, VA · Hybrid

Document current-state and future-state business processes and identify opportunities for process improvement and data optimization. * Develop and maintain: * Business Requirements Documents (BRDs)

Itero Group, LLC

Data Analyst

Sterling, VA · Hybrid

We empower clients in the private and government sectors to become more optimized, digitally enabled, and data-driven organizations through our comprehensive business consulting and innovative ...

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Data Optimization information

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 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 the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and extensive experience.
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Data Optimization jobs near you
Infographic showing various Data Optimization job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 43% Physical, 2% Hybrid, and 55% Remote job distribution.

Data Scientist

CSS, Inc

Charleston, SC • On-site

Full-time

Posted 10 days ago

Job description

CSS/RPI is seeking qualified candidates to manage, restore, and optimize three scientific databases to support long-term scientific integrity, collaboration, and public access to harmful algal bloom data at the Hollings Marine Laboratory in Charleston, SC.
Experience Required:
  • Experience with data engineering, data management, or scientific data systems.
  • Proficiency in SQL and at least once scripting language (Python or R preferred) to build data pipelines, visualize data, and integrate within a federal cyberinfrastructure.
  • Experience with data standards.
  • Demonstrated experience with image processing and spatial data workflows (eg ArcGIS).
  • Ability to implement an effective data quality assurance process, data optimization, and documentation procedures.
  • Read, scope, author, and/or execute code of varying degrees of complexity for automation of data production, analysis, and distribution.
  • Strong organizational skills, time management, and ability to manage multiple priorities in a dynamic environment.
  • Effective team contributor with excellent interpersonal skills.
  • Capable of working independently to meet project objectives and timelines.

Highly Desirable Experience:
  • Experience with ecological /environmental datasets and marine monitoring programs.
  • Familiarity with data sharing platforms (ERDDAP, OBIS).
  • Experience modernizing legacy systems.
  • Demonstrated ability to work individually and as part of a team; highly effective interpersonal skills, as well as strong written and verbal communication competencies.

Phytoplankton Monitoring Network (PMN) Database:
  • Centralize and standardize disparate PMN datasets in a unified structure for archiving into ERDDAP.
  • Develop and maintain scripts for automated data transfer between data platforms.
  • Align datasets with Darwin Core standards to support data sharing.
  • Coordinate with NCCOS and NCEI to advance the development of a GIS enabled data dashboard.
  • Ensure PMN data integrity through accurate documentation, version control, backup, and quality control/quality assurance processes.
  • Develop and maintain metadata standards to meet federal data quality requirements.

Analytical Response Team (ART) Database
  • Restore and modernize legacy database systems (MS Access/SQL-based systems)
  • Migrate data to a sustainable and scalable platform.
  • Implement governance practices to ensure data integrity through documentation, file backup, and quality control.

Intergovernmental Panel on Harmful Algal Blooms (IPHAB) Toxins Database
  • Coordinate with Ocean Biodiversity Information System (OBIS) to incorporate PMN data.
  • Create data pipelines for automated data transfer between PMN and OBIS/IOC platforms.
  • Support international data harmonization and interoperability efforts.

At CSS, we are committed to fostering an inclusive and merit-based workplace. We provide equal employment opportunities to all individuals, ensuring that hiring and employment decisions are based on qualifications, skills, and performance. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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