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Data Optimisation Jobs in Princeton, NJ (NOW HIRING)

Virtusa Corporation

Data Scientist AIML

New York, NY · On-site

... optimization opportunities and supporting data driven decision making across the enterprise The ideal candidate is curious, Key Responsibilities Analyze structured and unstructured datasets to ...

Ariel Partners

Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

The Data Architect is responsible for designing, analyzing, and optimizing enterprise data structures and integration solutions supporting the NYC Department of Education's Special Education systems.

Ariel Partners

Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

The Data Architect is responsible for designing, analyzing, and optimizing enterprise data structures and integration solutions supporting the NYC Department of Education's Special Education systems.

Nestle

Senior Data Scientist

Bridgewater, NJ · On-site

Data Analysis & Modeling: Analyze large and complex datasets to identify patterns, build ... Model Monitoring & Performance Optimization: Continuously track, evaluate, and refine deployed ...

Nestlé S.A.

Senior Data Scientist

Bridgewater, NJ · On-site

$130 - $160/hr

Data Analysis & Modeling: Analyze large and complex datasets to identify patterns, build ... Model Monitoring & Performance Optimization: Continuously track, evaluate, and refine deployed ...

Cesna Group

Data Architect / Data Analyst

New York, NY · On-site

$50K - $100K/yr

... optimization, and documentation * -Contribute to improving data processes, automation, and overall data infrastructure Qualifications * -Open to all majors; preference for data-related disciplines ...

FanDuel

Data Scientist

New York, NY · On-site

... spend optimization. In this role you will be responsible for customer segmentation, modeling ... Take on data science projects from start to finish, including working with stakeholders to agree ...

Known

Manager, Data & Media Science

New York, NY · On-site

SKEPTIC™, Known's proprietary AI analytics and optimization platform, powers our full service ... We are looking for a Manager, Data & Media Science to join the team and work alongside strategists ...

Known

Manager, Data & Media Science

New York, NY · On-site +1

SKEPTIC, Known's proprietary AI analytics and optimization platform, powers our full service agency ... We are looking for a Manager, Data & Media Science to join the team and work alongside strategists ...

FanDuel

Data Scientist

New York, NY · On-site

... spend optimization. In this role you will be responsible for customer segmentation, modeling ... Take on data science projects from start to finish, including working with stakeholders to agree ...

Zocdoc

Senior Data Scientist, Marketing

New York, NY · On-site

You will develop data-driven insights that inform channel strategy, campaign optimization, and spend allocation, working closely with Marketing, Product, and Engineering partners to ensure ...

De Circle

Data Scientist - Gauntlet

New York, NY · On-site

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage ... In order to grow our impact in the DeFi space we are looking to hire experienced Data Scientists to ...

iSoftStone

Senior Data Scientist

New York, NY · On-site

$130K - $150K/yr

This role is a client-facing data scientist supporting enterprise retail accounts across ... Retail domain knowledge: open-to-buy, allocation, replenishment, size/pack optimization ...

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Showing results 41-60

All JobsData Optimisation JobsData Optimisation Jobs in Princeton, NJ

Data Optimisation information

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 the key skills and qualifications needed to thrive as a data optimisation specialist?

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 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.

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.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.
Data Optimisation jobs near you
Infographic showing various Data Optimisation job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist AIML

Virtusa Corporation

New York, NY • On-site

Contractor

Posted 25 days ago

Job description

Data Scientist AI ML Advanced Analytics
Position Summary
We are seeking an analytical and innovative Data Scientist to help drive business transformation through Advanced Analytics, Artificial Intelligence and Machine Learning
This role focuses on discovering actionable insights from complex datasets developing predictive models identifying optimization opportunities and supporting data driven decision making across the enterprise The ideal candidate is curious,
Key Responsibilities
Analyze structured and unstructured datasets to identify trends opportunities and business insights
Develop and deploy predictive classification clustering and optimization models
Apply machine learning statistical analysis and AI techniques to solve business problems
Identify hidden patterns and relationships within complex datasets
Support experimentation hypothesis testing and model validation activities
Develop reusable analytical assets models and reporting frameworks
Present analytical findings and business insights to stakeholders
Contribute to data science best practices and continuous improvement initiatives
Required Qualifications
3+ years of experience in Data Science Machine Learning AI or Advanced Analytics
Strong foundation in statistics predictive modeling and machine learning
Experience working with large-scale datasets
Proficiency in Python SQL R or similar analytical languages
Experience with ML frameworks such as Scikit learn TensorFlow PyTorch XGBoost or equivalent
Knowledge of data visualization and analytical storytelling
Strong problem solving and communication skills
Preferred Qualifications
Experience with Generative AI Large Language Models Agentic AI or related technologies
Experience building predictive or decision intelligence solutions
Familiarity with cloud based analytics platforms
Experience with anomaly detection recommendation engines or intelligent automation solutions
Experience working in large enterprise environments
Key Competencies
Analytical Thinking
Ability to analyze complex data and convert findings into meaningful business insights
Pattern Discovery
Collaborative Execution
The ideal candidate
Uses data to uncover opportunities and risks
Sees patterns beyond standard reporting
Applies AI ML techniques to solve real world business problems
Balances analytical rigor with business practicality
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About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

Social media

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