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Data Optimisation Jobs (NOW HIRING)

Cherokee Federal

Data Scientist - Mid

Washington, DC · On-site

$140K - $155K/yr

Work with data users to determine, create, and populate optimal data architectures, structures, and systems. * Plans, designs, and optimizes data throughput and query performance. * Provides modeling ...

Intellectix

Data Scientist

Springfield, VA · On-site

As a Data Scientist, you'll be the cornerstone of this mission, ensuring the security of crucial data, optimizing IT infrastructure, and simplifying business processes through cutting-edge software ...

Advance Auto Parts

Data Analyst

Raleigh, NC · Hybrid

Experience in "Big Data" and data optimization best practices * Comfortable with being uncomfortable - an ability to figure things out without always knowing what direction to take Certifications ...

Advance Auto Parts, Inc.

Data Analyst

Raleigh, NC · On-site

Experience in "Big Data" and data optimization best practices * Comfortable with being uncomfortable - an ability to figure things out without always knowing what direction to take Certifications ...

UpClear

Sr. Data Architect

New York, NY

$150K - $200K/yr

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... POSITION OVERVIEW We are seeking a skilled Data Architect to design, optimize, and scale our data ...

Genesis10

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

This position primarily leads the building, managing, and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Ability to implement effective data quality assurance process, data optimization, and documentation procedures * Experienced and knowledgeable in types of map services, publishing map services, and ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Ability to implement effective data quality assurance process, data optimization, and documentation procedures * Experienced and knowledgeable in types of map services, publishing map services, and ...

UpClear

Sr. Data Architect

Manhattan, NY · On-site

$150K - $200K/yr

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... POSITION OVERVIEW We are seeking a skilled Data Architect to design, optimize, and scale our data ...

UpClear

Sr. Data Architect

Manhattan, NY · On-site

$150K - $200K/yr

Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business ... POSITION OVERVIEW We are seeking a skilled Data Architect to design, optimize, and scale our data ...

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All JobsData Optimisation Jobs

Data Optimisation information

What are the most common challenges faced in a Data Optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and many successful data scientists start or transition into the role later in their careers. Skills in programming, statistics, and tools like Python or R are more important than age, and continuous learning can help overcome any age-related concerns.

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

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data management, analytics, and programming, along with leadership responsibilities.

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are data optimization jobs?

Data optimization jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and system performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, and may include tasks such as data cleaning, indexing, and implementing data storage strategies.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI currently cannot fully replicate.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

More about Data Optimisation jobs
What cities are hiring for Data Optimisation jobs? Cities with the most Data Optimisation job openings:
What states have the most Data Optimisation jobs? States with the most job openings for Data Optimisation jobs include:
What job categories do people searching Data Optimisation jobs look for? The top searched job categories for Data Optimisation jobs are:
Data Optimisation jobs near you
Infographic showing various Data Optimisation job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
Data Scientist - Mid

Data Scientist - Mid

Cherokee Federal

Washington, DC • On-site

$140K - $155K/yr

Other

Medical, Dental, Vision, Retirement

Posted 15 days ago

Job description


Data Scientist - Mid
***This position requires an active TS/SCI with the ability to obtain a Counterintelligence Polygraph.***
Cherokee Strategic Edge is seeking a Data Scientist to design, implement, and operate data management systems for intelligence needs.
Compensation & Benefits:
Estimated starting salary range: $140,000-$155,000. Pay commensurate with experience.
Full time benefits include Medical, Dental, Vision, 401K and other possible benefits as provided. Benefits are subject to change with or without notice.
Data Scientist - Mid Responsibilities Include:
  • Conduct data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions
  • Proactively retrieve information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes
  • Supports program evaluation with system assessments, statistical and data analysis, apply data mining techniques, and build high quality prediction systems.
  • Design how data will be stored, accessed, used, integrated, and managed by different data regimes and digital systems.
  • Work with data users to determine, create, and populate optimal data architectures, structures, and systems.
  • Plans, designs, and optimizes data throughput and query performance.
  • Provides modeling/visualization[RS1] , machine learning, statistic, data engineering, pattern recognition/learning support to organization as needed.
  • Use data science approaches to identify anomalies, patterns, or relationships that can support organization's assessments.[RS2]
  • Performs other job-related duties as assigned

Data Scientist - Mid Experience, Education, Skills, Abilities requested:
  • Current TS/SCI security clearance with the ability to obtain a Counterintelligence polygraph
  • Minimum of four (4) years of related experience
  • Bachelor's degree preferred
  • Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau
  • Skilled in major data science languages, such as R and Python
  • Experience in managing and merging of disparate data sources, preferably through R, Python, or SQL
  • Experience with statistical analysis and data mining algorithms
  • Experience with large data Multi-INT analytics, ML, and automated predictive analytics
  • Comprehensive mission knowledge and skills that affirms completion of all developmental training
  • Ability to communicate understanding from information that may be incomplete, indirect, highly complex, seemingly unrelated, and / or technically advanced
  • Ability to structure analysis based on trends in reporting and a range of analytic perspectives from other analysts, organizations, and intelligence disciplines
  • Ability to work independently with minimal oversight and direction
  • Ability to collaborate and work with other IC members on information Sharing, driving collection, and addressing analytic disputes and conflict resolution.
  • Ability to develop concise, insightful. and comprehensive products for defense intelligence.
  • Ability to lead teams in researching multifaceted or critical problems.
  • Must pass pre-employment qualifications of Cherokee Federal

Company Information:
Cherokee Strategic Edge (CSE) provides support, services, and solutions to federal and commercial customers. The company takes a personalized approach to solving our clients' toughest challenges, helping you make the most of your skills. CSE is part of Cherokee Federal - a team of tribally owned federal contracting companies. For more information, visit cherokee-federal.com.
#CherokeeFederal #LI-SM1 #IntelCareers
Similar searchable job titles
  • Data Engineer
  • Data Architect
  • Data Analyst
  • Data Solutions Manager
  • Business Intelligence Analyst

Keywords
  • Data management systems
  • Data architecture
  • Database technologies (SQL, NoSQL, HPC)
  • Data analysis
  • Data optimization

Legal Disclaimer: All qualified applicants will receive consideration for employment without regard to protected veteran status, disability or any other status protected under applicable federal, state or local law. Many of our job openings require access to government buildings or military installations. Candidates must pass pre-employment qualifications of Cherokee Federal.
Many of our job openings require access to government buildings or military installations. Candidates must pass pre-employment qualifications of Cherokee Federal.
As required by our governmental client, this position requires being a AND an active TS/Sensitive Compartmental Information (SCI) clearance.
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About Cherokee Federal

Sourced by ZipRecruiter

Cherokee Federal - a division of Cherokee Nation Businesses - is a team of tribally owned federal contracting companies focused on building solutions, solving complex challenges, and serving the nation's mission around the globe for more than 60 federal clients. Our team of companies manages nearly 1,000 projects of all sizes across the construction, consulting, engineering and manufacturing, health, and technology portfolios. Since 2012, the Cherokee Federal team of companies has won more than $5 billion in government contracts. Our 3,000+ employees work in 26 countries, 50 states and 2 U.S. territories. Why choose Cherokee Federal? Visit our website and learn about the great reasons to join our team. cherokee-federal.com

Industry

Architectural services

Company size

1,001 - 5,000 Employees

Headquarters location

Tulsa, OK, US

Year founded

1969

Social media

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