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Data Optimisation Jobs (NOW HIRING)

Intellectix

Data Scientist

Saint Louis, MO · 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 ...

NTT DATA

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

The architect will work closely with the Data Lead and engineering team to ensure the solution is scalable, optimized, and aligned with TCCC's metadata-driven framework. Day to Day Job Duties: * Own ...

Intellectix

Data Scientist

Saint Louis, MO · 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 ...

Intellectix

Data Scientist

Springfield, VA

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 ...

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 ...

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 ...

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

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 ...

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 optimisation professionals and data scientists can enter the field at any age, as skills such as programming, statistical analysis, and machine learning are learnable through online courses and certifications. While some roles may prefer recent experience, many organizations value diverse backgrounds and lifelong learning, making age less of a barrier in this field.

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 typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

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, domain knowledge, and communication, which are less likely to be fully replaced by AI in the near future.

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 June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.
Data Scientist

Data Scientist

Intellectix

Saint Louis, MO • On-site

Full-time

Posted 13 days ago

Job description

Data Scientist


Location: St. Louis, MO
Clearance: TS/SCI
Citizenship: US Citizenship Required


Whether running countries, corporations, or courtrooms, our clients bear the responsibility for shaping the lives of millions. At Intellectix, we are on a mission to empower them with innovative technical solutions and drive transformational change. 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 systems. Because at Intellectix, it's not what we do, it's why we do it.


Responsibilities & Duties:

This position supports the Geospatial Services & Solutions business area to provide high-quality, cost-effective solutions to the customer. As part of the GSS Team, the Data Scientist's expertise is needed to support a sophisticated enterprise environment. The Scientist is an active participant in SAFe and Scrum development teams and meetings.

  • Identify data sources and automate collection processes.
  • Perform preprocessing of structured and unstructured data.
  • Analyze large, complex data sets to identify trends and patterns.
  • Build predictive models and machine learning algorithms.
  • Combine models through ensemble modeling.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to address Key Intelligence Questions.
  • Collaborate with engineering and product development teams.


Qualifications:


Education/Experience:

  • 2+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analyst and a Bachelor's Degree in Computer Programming, Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
  • 3+ years of experience in a Linux environment.
  • Direct experience and demonstrated proficiency with Python programming to build containerized microservices that use message queues such as activemq or rabbitmq.
  • Experienced in ML Model performance testing and hyperparameter tuning (Tensorboard, wandb, mlflow).
  • Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch.
  • Experience with workload managers (SLURM, Argo Workflow, Airflow).
  • Strong problem-solving and troubleshooting skills.
  • Strong communication and interpersonal skills.
  • Must possess excellent time management skills and the drive to work unsupervised.
  • Active TS/SCI clearance required and eligibility to obtain a CI poly.


Desired Skills:

  • Prior experience working with or within the Intelligence Community or a military intelligence unit.
  • Understanding of access management and security groups (i.e. IAM, S3 bucket, SSH, VPN, etc.).
  • Computer vision-related experience with torchvision or tensorflow object detection APIs.
  • Additional languages on top of Python preferred (C++, Julia, Go, R).
  • Familiarity with Cloud Platform AI-ML toolsets (e.g. AWS Sagemaker, GCP Vertex).
  • Experience building data pipelines with spark, kafka, or nifi.


Join Intellectix and be part of a dynamic team that thrives on tempo, teamwork, and technical excellence. Your skills and expertise will contribute to creating a safer and smarter tomorrow.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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