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analyst, business data (fleet solution operations) Jobs in abu-dhabi

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business analyst - ai experience

business intelligence & data analyst Jobs in abu-dhabi

business intelligence & data analyst

data scientist

Aldar Estates

<div>
 
 
 
 Job Purpose:
 
 
 
 <ul>
 <li>
 The job purpose of a Data Scientist revolves around leveraging advanced analytics, machine learning, and statistical techniques to extract insights from complex data sets.
 </li>
 <li>
 The job purpose of a Data Scientist is to leverage data-driven approaches to solve complex problems, drive innovation, and create value for organizations across various industries.
 </li>
 <li>
 They play a crucial role in transforming data into actionable insights that inform strategic decision-making and drive business success.
 </li>
 </ul>
 
 
 
 
 
 
 Roles, Responsibilities, Duties:
 
 
 
 
 Data Analysis and Exploration:
 
 <ul>
 <li>
 Conduct exploratory data analysis to understand the characteristics, patterns, and relationships within the data.
 </li>
 <li>
 Clean, preprocess, and transform raw data into a usable format for analysis. Identify relevant variables and features that can contribute to solving the problem at hand.
 </li>
 </ul>
 
 
 
 
 Machine Learning Model Development:
 
 <ul>
 <li>
 Develop, implement, and fine-tune machine learning models to address specific business problems.
 </li>
 <li>
 Select appropriate algorithms and techniques based on the nature of the data and the problem domain.
 </li>
 <li>
 Optimize model performance through hyperparameter tuning, feature selection, and regularization techniques.
 </li>
 </ul>
 
 
 
 
 Predictive Analytics:
 
 <ul>
 <li>
 Build predictive models to forecast future trends, behaviours, or outcomes based on historical data.
 </li>
 <li>
 Evaluate model performance using metrics such as accuracy, precision, recall, and F1 score.
 </li>
 <li>
 Interpret model predictions and communicate the implications to stakeholders.
 </li>
 </ul>
 
 
 
 
 Feature Engineering:
 
 <ul>
 <li>
 Engineer and extract relevant features from raw data to improve model performance and predictive accuracy.
 </li>
 <li>
 Transform data into a suitable representation for machine learning algorithms, such as numerical, categorical, or text features.
 </li>
 </ul>
 
 
 
 
 Data Visualization and Reporting:
 
 <ul>
 <li>
 Create visualizations, dashboards, and reports to communicate insights and findings to stakeholders.
 </li>
 <li>
 Use data visualization tools and libraries to present complex information in a clear and understandable manner.
 </li>
 <li>
 Collaborate with business stakeholders to understand their requirements and tailor visualizations to their needs.
 </li>
 </ul>
 
 
 
 
 Model Deployment and Integration:
 
 <ul>
 <li>
 Deploy machine learning models into production environments, ensuring scalability, reliability, and performance.
 </li>
 <li>
 Integrate models with existing systems and workflows to automate decision-making processes. Monitor model performance in real-time and implement updates or improvements as needed.
 </li>
 </ul>
 
 
 
 
 Cross-functional Collaboration:
 
 <ul>
 <li>
 Collaborate with cross-functional teams, including data engineers, software developers, and business analysts, to develop end-to-end data solutions.
 </li>
 <li>
 Communicate effectively with non-technical stakeholders to gather requirements, explain technical concepts, and align on project goals.
 </li>
 </ul>
 
 
 
 
 Continuous Learning and Research:
 
 <ul>
 <li>
 Stay updated with the latest advancements in data science, machine learning, and related fields. Experiment with new techniques, tools, and methodologies to innovate and improve data analysis processes.
 </li>
 <li>
 Participate in research projects, conferences, and communities to contribute to the broader data science community.
 </li>
 </ul>
 
 
 
 
 Ethics and Compliance:
 
 <ul>
 <li>
 Adhere to ethical principles and data privacy regulations in data collection, analysis, andusage. Implement data governance practices to ensure data integrity, security, and compliance with industry standards.
 </li>
 </ul>
 
 
 
 
 Problem Solving and Innovation:
 
 <ul>
 <li>
 Apply critical thinking and problem-solving skills to tackle complex analytical challenges and develop creative solutions.
 </li>
 <li>
 Identify opportunities for process improvement, optimization, and innovation in data analysis workflows.
 </li>
 </ul>
 
 
 
 
 Occupational and workplace Health and Safety responsibilities:
 
 <ul>
 <li>
 In addition to all job specific responsibilities, all employees are required to adhere to all ECSS health, safety and environmental (HSE) policies, procedures, practices, and relevant legal and statutory health, safety and environmental requirements and obligations.
 </li>
 <li>
 All employees are personally responsible to familiarize themselves with these policies, procedures, practices, updates, etc.
 </li>
 <li>
 ECSS HSE department regularly updates existing and introduce new policies, procedures and practices and each employee is personally responsible to ensure they stay updated and compliant with all such updates and new additions.
 </li>
 </ul>
 
 
 
 
 Information Security responsibilities: -
 
 <ul>
 <li>
 Comply with ECSS Information Security Policies
 </li>
 <li>
 Be aware of and fulfil their information security responsibilities.
 </li>
 <li>
 Ensure whoever handles sensitive company information have taken the Security Awareness Training
 </li>
 <li>
 Know how to report a security incident (to IT ServiceDesk or InfoSec).
 </li>
 <li>
 Not Disable his/her OS firewall and/or Antivirus - Restrict use to authorized purposes, Protect access accounts, privileges and associated passwords. Accept accountability of his/her individual user accounts, and maintain confidentiality
 </li>
 </ul>
 
 
 
 
 
 Qualification:
 
 
 <ul>
 <li>
 A bachelor's degree in a field such as computer science, statistics, mathematics, engineering, physics, or a related quantitative field.
 </li>
 </ul>
 
 
 
 
 
 Experience and Skills:
 
 
 <ul>
 <li>
 Experience 5 to 7 years Technical Skills
 </li>
 <li>
 Proficiency in programming languages commonly used in data science and machine learning, such as Python, R, or Java.
 </li>
 <li>
 Strong understanding of statistical analysis techniques, machine learning algorithms, and mathematical concepts.
 </li>
 <li>
 Experience with data manipulation and analysis libraries and frameworks such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Knowledge of data visualization tools and libraries such as Matplotlib, Seaborn, ggplot2, or Tableau.
 </li>
 <li>
 Familiarity with database systems and querying languages such as SQL for data extraction and manipulation.
 </li>
 <li>
 Analytical Skills: Strong analytical and problem-solving skills to interpret data, identify patterns, and derive actionable insights.
 </li>
 <li>
 Ability to apply statistical techniques and machine learning algorithms to solve complex business problems.
 </li>
 <li>
 Critical thinking skills to evaluate the validity and reliability of data analysis results and methodologies.
 </li>
 </ul>
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 <div id='job-id'>Job Id: +ktUZ3bL5EoWsTFw4HEUrD8NYSmooFczUTVXj8MOOsy21rLygDw7hNzF4RIG6BR7msJSVwrbRaWi5XiJAADwPaYmBQmEU9Ofag==</div>

Data Scientist

Astra Tech

<div>
 
 
 
 About Us
 
 
 
 
 
 
 
 Established in 2022, Astra Tech has rapidly expanded its influence by strategically acquiring and developing key platforms such as PayBy, Rizek, Quantix, and Botim. These acquisitions have culminated in the creation of the world&rsquo;s first Ultra App, Botim, which seamlessly integrates fintech, e-commerce, AI-powered tech solutions, and communication services into one intuitive and user-friendly experience. This powerful combination allows users to manage their finances, shop, and stay connected&mdash;all within a single, cohesive platform.
 
 
 
 
 
 With over 150 million users across 155 countries, Astra Tech is more than just a tech company&mdash;it is a movement committed to enhancing lives through innovation. As a visionary leader in tech development and investment, our mission is clear: to revolutionize technology solutions for consumers and businesses, harnessing the power of AI to elevate digital experiences to unprecedented heights globally.
 
 
 
 
 
 
 
 Role Summary
 
 
 
 
 
 
 
 Extracting knowledge and insights from data to support organizational goals by collecting, cleaning, analysing, and interpreting large datasets using statistical, machine learning, and programming skills.
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 Data Collection and Preparation: Gathering data from various sources, cleaning and transforming it for analysis.
 </li>
 <li>
 Exploratory Data Analysis (EDA): Investigating data to identify patterns, trends, and anomalies.
 </li>
 <li>
 Model Building and Evaluation: Developing and validating statistical models and machine learning algorithms.
 </li>
 <li>
 Data Visualization: Creating clear and informative visualizations to communicate findings to stakeholders.
 </li>
 <li>
 Stakeholder Communication: Presenting results and recommendations to both technical and non-technical audiences.
 </li>
 <li>
 Strategic Recommendations: Providing data-driven insights to guide business decisions and strategies.
 </li>
 </ul>
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Computer Engineering, Mathematics or Statistics preferred.
 </li>
 <li>
 Experience 7+ years in consumer technology platforms.
 </li>
 <li>
 Experience developing in Python, R, scikit-learn with demonstrated knowledge of good software engineering design principles.
 </li>
 <li>
 Experience working with Big data technology suites.
 </li>
 <li>
 Experience working with relational databases, SQL, data-modelling and dealing with large, complex, structured, and unstructured datasets.
 </li>
 <li>
 Extensive familiarity with machine-learning concepts and applications.
 </li>
 <li>
 Build statistical, predictive and machine learning models to facilitate Strategy, Product, Marketing, Sales, Customer Service and Technology teams drive business growth.
 </li>
 <li>
 Develop analytics-oriented solutions to solve complex business problems leading to data-driven decision making.
 </li>
 <li>
 Storyboard visualizations to educate stakeholders on findings.
 </li>
 <li>
 Support data activities related to the collection, profiling, cleansing, and reporting of analytical models.
 </li>
 <li>
 Participate in planning sessions with key stakeholders to develop use cases and requirements for data-driven analytical solutions.
 </li>
 <li>
 Experience developing automating data pipelines as an asset.
 </li>
 </ul>
 
 
</div>
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Etihad

<div>
 
 Synopsis
 
 
 
 As a Data Scientist, you will lead the design, development, and deployment of advanced machine learning models and analytical solutions to support strategic decision-making and AI initiatives. You will collaborate with data engineers, product owners, and business stakeholders to extract insights from large datasets and translate them into actionable outcomes. This role requires strong analytical thinking, advanced statistical knowledge, and expertise in machine learning and data science best practices.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models and AI solutions for business-critical problems.
 </li>
 <li>
 Collaborate with data engineers to ensure data quality, integrity, and accessibility for modeling and analysis.
 </li>
 <li>
 Analyze complex datasets using statistical and predictive modeling techniques to uncover trends and patterns.
 </li>
 <li>
 Translate business problems into data science solutions, defining success metrics and model evaluation criteria.
 </li>
 <li>
 Mentor junior data scientists and guide best practices in feature engineering, model tuning, and validation.
 </li>
 <li>
 Present findings and model results to stakeholders through clear, data-driven storytelling and visualization.
 </li>
 <li>
 Stay updated on the latest advancements in machine learning, AI, and analytics technologies.
 </li>
 <li>
 Work within an agile team to deliver iterative, high-impact solutions in alignment with project timelines.
 </li>
 <li>
 Ensure models and analytics workflows are scalable, reproducible, and production-ready.
 </li>
 <li>
 Adhere to ethical AI and data governance standards throughout the development lifecycle.
 
 
 </li>
 </ul>
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in Computer Science, Data Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 5+ years of experience in data science or applied machine learning roles.
 </li>
 <li>
 Proficiency in Python or R, with strong experience in libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
 </li>
 <li>
 Solid understanding of statistical methods, machine learning algorithms, and data mining techniques.
 </li>
 <li>
 Experience with data visualization tools (e.g., Power BI, Tableau, Plotly, or matplotlib/seaborn).
 </li>
 <li>
 Familiarity with big data platforms (e.g., Apache Spark) and cloud-based environments (e.g., AWS, Azure, or GCP).
 </li>
 <li>
 Strong communication and stakeholder management skills.
 </li>
 <li>
 Experience with model deployment, monitoring, and lifecycle management is a plus.
 
 
 </li>
 </ul>
 
 About Etihad Airways
 
 
 
 Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world&rsquo;s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad&rsquo;s codeshare partners, Etihad&rsquo;s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad&rsquo;s ambitious Journey 2030 strategy. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!
 
 
 To learn more, visit etihad.com
 
 
 
 Recruitment Fraud Alert
 
 
 
 Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
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Data Scientist AI

Atatreh Gate Real Estate

Wanted Female Data Analyst for asset management company.You must have excellent skills in Powerpoint, Word and Excel. Be numerically capable and have a basic knowledge of statistics. Able to work independently on assigned tasks, conduct research and create graphs and charts to support research.You are a Recent graduate, speak and write English very well. Candidates who are also fluent in any of Arabic, Russian, or Mandarin in addition to English will have an advantage.Salary: commiserate with skills, abilities, experience. The position also pays an annual bonus subject to performance.Career path: success as a data analyst in our company can lead to portfolio management and trading careers.Job Type: Full-time <div id='job-id'>Job Id: 317AuOwh2eu3cgxyDRFAXvcDsAHEiJ8KmTrq2mpl0G0IiirqNFiHdpHD2hcJB+hbW9iz52dHqR7Mu9DAwaTpBGLQBZQxe40s+bc6hXhRmFb6jA==</div>

Data Analyst

Sundus

<div>
 
 Job Purpose
 
 
 
 Data Engineer plays a crucial role in developing and optimizing our data architecture to support data-driven initiatives and enhance overall business intelligence.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and maintain scalable and robust data architecture to support business needs.
 </li>
 <li>
 Collaborate with stakeholders to understand data requirements and ensure alignment with organizational goals.
 </li>
 <li>
 Develop and implement efficient Extract, Transform, Load (ETL) processes to integrate data from various sources into a unified format.
 </li>
 <li>
 Ensure data integrity and quality throughout the ETL pipeline.
 </li>
 <li>
 Develop and Implement event streaming framework and services.
 </li>
 <li>
 Design and manage relational and non-relational databases, ensuring optimal performance and scalability.
 </li>
 <li>
 Implement database optimization strategies and conduct performance tuning.
 </li>
 <li>
 Utilize big data technologies such as Hadoop, Spark, and Kafka to process and analyze large volumes of data.
 </li>
 <li>
 Implement solutions for real-time data streaming and processing.
 </li>
 <li>
 Develop and maintain data models for efficient storage and retrieval of information.
 </li>
 <li>
 Collaborate with data scientists and analysts to understand data requirements for analytical purposes.
 </li>
 <li>
 Create and maintain metadata repositories, documenting data lineage, definitions, and relationships.
 </li>
 <li>
 Implement and enforce metadata management best practices.
 </li>
 <li>
 Implement data quality checks and validation processes to ensure accuracy and reliability of data.
 </li>
 <li>
 Collaborate with cross-functional teams to address and resolve data-related issues.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Technology, or a related field.
 </li>
 <li>
 8-9 years of proven experience as a Data Engineer or in a similar role.
 </li>
 <li>
 Strong proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, MongoDB).
 </li>
 <li>
 Experience with big data technologies (Hadoop, Spark) and data processing frameworks.
 </li>
 <li>
 Knowledge of ETL tools and techniques.
 </li>
 <li>
 Knowledge of DevOps practice.
 </li>
 <li>
 Knowledge of event streaming frameworks (Kafka, Event Hub, Apache Storm, Stream Analytics etc)
 </li>
 </ul>
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Data Engineer – Technology and Digital

Department of Culture and Tourism – Abu Dhabi (DCT Abu Dhabi)

<div>
 
 
 Role Purpose
 
 
 
 Supports the tracking, analysis, and reporting of marketing performance data across channels. Assists with tagging, A/B testing, and platform integration to generate insights that inform strategy, monitor and report on campaign performance, and strengthen data-driven decision-making for tourism marketing initiatives.
 
 
 
 
 
 
 Key responsibilities
 
 
 
 
 
 
 
 Marketing data systems and tracking implementation
 
 
 <ul>
 <li>
 Assists in the implementation and maintenance of digital tracking solutions, including Google Tag Manager, to ensure accurate and consistent data collection across all platforms.
 </li>
 <li>
 Supports tagging, pixel creation, and UTM deployment for campaign monitoring and attribution tracking in alignment with media and web teams.
 </li>
 <li>
 Contributes to the integration of digital marketing platforms with data warehouses and lakes to centralize and automate data collection, ensuring reliability and scalability of insights.
 </li>
 <li>
 Aids in establishing standardized data governance practices and protocols for marketing performance measurement.
 </li>
 </ul>
 
 
 
 
 
 Performance analysis and campaign reporting
 
 
 <ul>
 <li>
 Collects and analyzes marketing performance data from platforms such as Google Analytics 360, Google Display &amp; Video 360, BigQuery, and Looker Studio to assess campaign effectiveness.
 </li>
 <li>
 Assists in conducting A/B and multivariate tests using platforms like Optimizely to support data-led optimizations and user experience enhancements.
 </li>
 <li>
 Generates routine and ad hoc reports to monitor and evaluate campaign outcomes, channel performance, and audience behavior across paid, owned, and earned media.
 </li>
 <li>
 Supports the team in translating insights into actionable recommendations to inform strategy and improve marketing decision-making.
 </li>
 </ul>
 
 
 
 
 
 AI development and implementation
 
 
 <ul>
 <li>
 Design, develop, and implement AI models and algorithms to address key business challenges, improve analytical processes, and enhance decision-making capabilities.
 </li>
 <li>
 Collaborate with cross-functional teams including data scientists, software developers, and business stakeholders to understand requirements and translate them into scalable, AI-driven solutions that support marketing and research objectives.
 </li>
 <li>
 Monitoring and evaluating the performance of AI systems, adjusting as necessary to improve outcomes.
 </li>
 <li>
 Providing technical expertise and guidance on AI-related projects and initiatives.
 </li>
 </ul>
 
 
 
 
 
 Communications and business relationships
 
 
 
 
 Internal
 
 
 <ul>
 <li>
 Planning, Strategy and Operations Department
 </li>
 <li>
 Other relevant departments and divisions
 </li>
 </ul>
 
 
 
 
 
 External
 
 
 <ul>
 <li>
 Relevant external institutions/companies
 </li>
 <li>
 Relevant stakeholders/partners
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 Bachelor&rsquo;s degree in Marketing, Business Administration, Statistics, Data Science, Computer Science, or a related field
 
 
 
 
 
 
 Skills
 
 
 <ul>
 <li>
 Language: Fluency in written and spoken English
 </li>
 <li>
 Managing timelines, deliverables, and prioritizing tasks across multiple campaigns or requests.
 </li>
 <li>
 Critical for spotting data anomalies, validating campaign tracking, and ensuring accurate reporting.
 </li>
 <li>
 Works well with cross-functional teams including media agencies, IT, marketing, and creative teams.
 </li>
 <li>
 Analyze large datasets to extract meaningful insights and patterns that can inform AI model development.
 </li>
 <li>
 Proficiency in digital analytics tools such as Google Analytics 360, Google Display &amp; Video 360, Google Tag Manager, and BigQuery.
 </li>
 <li>
 Proven experience in managing web tagging and pixel tracking across multi-channel campaigns, with the ability to validate data accuracy and troubleshoot implementation issues using tools such as Google Tag Assistant and browser developer tools.
 </li>
 <li>
 Familiarity with A/B and multivariate testing tools (e.g., Optimizely, Google Optimize) and interpreting experiment results.
 </li>
 <li>
 Working knowledge of Python, SQL and data manipulation in large datasets is an advantage.
 </li>
 <li>
 Experience integrating marketing data sources with centralized platforms or data lakes is preferred.
 </li>
 <li>
 Understanding of how to connect marketing platforms via API or tools like Supermetrics or Funnel.io.
 </li>
 <li>
 Familiarity with data privacy regulations (e.g., GDPR) and best practices in data governance.
 </li>
 <li>
 Knowledge of dashboarding tools such as Looker Studio, Tableau, Datorama, or Power BI is desirable.
 </li>
 <li>
 Previous experience in government, tourism, or destination marketing sectors is a plus.
 </li>
 </ul>
 
 
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New York University Abu Dhabi

<div>
 The Smart Materials Lab (SML) and the Center for Smart Engineering Materials (CSEM), within the Division of Science and Mathematics, New York University Abu Dhabi, seek to recruit a Post-Doctoral Associate in the field of materials for petroleum applications.
 
 
 The position includes submission of biweekly and other reports, help with grant applications, practical training for use of laboratory equipment, and regular attendance of the SML and CSEM group meetings.
 
 
 
 This position is supervised by Prof.Pan&ccaron;e Naumov
 
 
 
 The applicant should be a chemist, chemical analyst, chemical engineer or materials scientist with either academic background or industrial experience in chemistry or chemical engineering of oil and gas or related disciplines. The candidate should be familiar with the basics of chemical and physical methods for characterization of organic materials or materials. The candidate is expected to work closely with the members of the SML and CSEM to use physical, chemical and other methods for reliable and accurate characterization of materials, not only in the applied domain, but also on fundamental research topics assigned by the group and center leadership.
 
 
 In parallel with research, the candidate will participate in supervision and training of researchers, students and other interested individuals on a range of analytical and physicochemical, spectroscopic, microscopic, mechanical and other methods for characterization. The candidate will oversee the research of students and other researchers in the Center, will file data and results and prepare them for presentation and publication, and they will contribute materials and preparation of the reports to the sponsor(s).
 
 
 
 For consideration, applicants need to submit the following (all in PDF format):
 
 
 
 <ul>
 <li>
 Statement of research interests
 </li>
 <li>
 CV
 </li>
 <li>
 Transcript of degree
 </li>
 <li>
 Full publication list
 </li>
 <li>
 Three letters of recommendation
 
 
 </li>
 </ul>
 
 UAE nationals are encouraged to apply
 
 
 
 This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.html
 
 
 For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu
 
 (due to the high volume of emails received, please allow 5 working days for a response)
 
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
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 <div id='job-id'>Job Id: 4fPiZ9viSBSE4korcFyzQPrJcYUfXM+fXRWbbMTqUdDJrz8G3xkxu2aD/MTdw2jq/2f2EncyTtZ50iWIScEW</div>

Path 2: Postdoctoral Associate - Center for Smart Engineering Materials

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Data Analyst

Path 2: Postdoctoral Associate - Center for Smart Engineering Materials