Qureos Mentor

The Nielsen Company

<div>Company Description 
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it&rsquo;s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. 
Job Description 
Nielsen is seeking a solid and experienced Big Data Engineer. This position requires at least 7 years of experience in the web domain. This position will be responsible for development tasks, including frontend, and database development. The successful candidate will be required to engage with all areas within Nielsen including collection, processing systems, testing, operations, with partners worldwide. 
Qualifications<ul><li> 
Strong programming skills using at least one of the languages like Spark, Scala, Python, 5-7 years experience.</li><li>Working knowledge of AWS Cloud Servers and related services.</li><li>Good knowledge of RDBMS (MySQL), database designing, and query optimization techniques.</li><li>Experience in NoSQL (MongoDB / DynamoDB / DocumentDB) databases will be an added advantage.</li><li>Experience with Data ETL (Extract Transform and Load) using Legacy and Cloud based services.</li><li>Working knowledge of version controlling systems like GitLab, clear understanding of Gitflow workflow, repository management tools like BitBucket, and understanding of the overall CI/CD process.</li><li>Knowledge with real time streaming data processing using technologies like Kafka &amp; Spark is a plus.</li><li>Knowledge of big data processing and query technologies like Hadoop, Hive and Pig is a plus.</li><li>Knowledge of User Interface design and Data Visualization and Reports is a plus.</li><li>Knowledge of container technologies like Docker and Kubernetes.</li><li>Knowledge of infrastructure as code using Terraform, Cloudformation and Ansible.</li><li>Desire to leverage DevOps techniques including fully automated testing and deployment, Agile methodology and continuous integration/continuous delivery.</li><li>Experience with instrumenting logging and monitoring into applications.</li><li>Experience with setting up test environments, designing test plans, developing test cases/scenarios/usage cases, and executing these cases.</li><li>Experience with Linux OS and Shell scripting.</li><li>Experience with all aspects of product/system development life cycle.</li><li>Desire to invent the next generation of measurement techniques.</li><li>Passionate about technology and the desire to grow professionally.</li><li>Creative thinkers who can propose solutions to tough problems and collaborate well with other</li></ul> 
Additional Information<div></div> 
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.</div>

Senior Member Technical Staff - Data engineer

<div>Company Description 
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it&rsquo;s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. 
Job Description<ul><li> 
Nielsen measures the media-consumption habits of homes globally. Our data paints a rich portrait of the audience in those markets we measure. As a pioneer and industry leader in audience measurement for more than half a century, we take pride in our technology and processes, and we are constantly searching for new ways to advance our culture of innovation and growth.</li><li>
Our areas of expertise include researching hardware, software, quality controls and business rule changes that will improve the accuracy of our data reporting.</li><li>
In this role, you will learn and become an expert in Nielsen&rsquo;s Panel data, with a focus on Meter hardware and software used for data collection and crediting. You will design analysis plans, develop underlying data pipelines, execute analyses and summarize results. You will collaborate with stakeholders across Data Science, Engineering, Product and Technology teams to provide clear data-driven recommendations based on research findings.</li></ul> 
Qualifications 
Responsibilities:<ul><li>
Implement, test and optimize econometric, and statistical models.</li><li>
Learn and become an expert in Audience Measurement, with a focus on digital meter technology used for data collection and crediting.</li><li>
Design analysis plans, develop underlying data pipelines, execute analyses and summarize results.</li><li>
Identify, clean, and summarize data, potentially from disparate and complex data sources, to facilitate high quality analyses.</li><li>
Create simple, meaningful visualizations to help support data analysis and stakeholder communications</li><li>
Develop and share efficient code used for analyses.</li><li>
Incorporate quality checks to proactively detect and correct for errors throughout analysis.</li><li>
Provide clear data-driven recommendations based on research findings.</li><li>
Collaborate with department stakeholders (Engineering, Data Science, Technology, etc.). This includes providing status updates, developing timelines, sharing data, executing tests, presenting results, etc to ensure business needs are met.</li></ul> 

Additional Information 
Key Skills &amp; Qualifications:<ul><li>
Bachelor&rsquo;s Degree or higher in Mathematics, Statistics, Computer Science, Data Science, Data Engineering or a related field.</li><li>
5-10 years of experience with the following:<ul><li>
Manipulating, analyzing and interpreting complex data sources to tell a story from data through analyses</li><li>
Programming in Python, PySpark and SQL for data pipeline development used to support analytics</li><li>
Trending and visualizing data within Tableau</li><li>
Big Data &amp; Cloud: Extensive experience with PySpark and building data pipelines in cloud-based environments, specifically AWS (including services like S3 and proficiency with Databricks)</li><li>
Project Management: Excellent ability to manage and prioritize multiple, concurrent assignments with strong attention to detail.</li></ul></li><li>
Able to communicate effectively both orally and in writing</li><li>
Embraces innovation with a readiness to explore new solutions and a commitment to rapid iteration based on customer feedback</li><li>
Demonstrates strategic thinking, understanding the broader impact of data insights on product and business objectives</li><li>
Strategic &amp; Innovative Mindset: Demonstrates strategic thinking, understands the broader business impact of data insights, embraces innovation, and is committed to rapid iteration based on feedback.</li></ul>
Preferred Skills<ul><li>
Advanced Analytics: Deep understanding and application of Statistics, including hypothesis testing, regression analysis, and experimental design.</li><li>
Machine Learning/AI: Practical experience implementing and applying Machine Learning (ML) and understanding Artificial Intelligence (AI) concepts.</li></ul><div></div>
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.</div>

Senior Data Scientist

<div>Company Description 
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it&rsquo;s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. 
Job Description<ul><li> 
Lead the design, development, and implementation of AI/ML-based solutions across various product lines.</li><li>Collaborate with product managers, data engineers, and architects to translate business requirements into data science problems and solutions.</li><li>Take ownership of end-to-end AI/ML modules, from data processing to model development, testing, and deployment.</li><li>Provide technical leadership to a team of data scientists, ensuring high-quality outputs and adherence to best practices.</li><li>Conduct cutting-edge research and capability building across the latest Machine Learning, Deep Learning, and AI technologies.</li><li>Prepare technical documentation, including high-level and low-level design, requirement specifications, and white papers.</li><li>Evaluate and fine-tune models, ensuring they meet performance requirements and deliver insights that drive product improvements.</li><li>Production exposure to Large Language Models (LLM) and experience in implementing and optimizing LLM-based solutions.</li></ul> 
Qualifications<ul><li> 
8+ years of experience in Data Science and AI/ML product development, with a proven track record of leading technical teams.</li><li>Expertise in machine learning algorithms, Deep Learning models, Natural Language Processing, and Anomaly Detection.</li><li>Strong understanding of model lifecycle management, including model building, evaluation, and optimization.</li><li>Hands-on experience with Python and proficiency with frameworks like TensorFlow, Keras, PyTorch, etc.</li><li>Solid understanding of SQL, NoSQL databases, and data modeling with ElasticSearch experience.</li><li>Ability to manage multiple projects simultaneously in a fast-paced, agile environment.</li><li>Excellent problem-solving skills and communication abilities, particularly in documenting and presenting technical concepts.</li><li>Familiarity with Big Data frameworks such as Spark, Storm, Databricks, and Kafka.</li><li>Experience with container technologies like Docker and orchestration tools like Kubernetes, ECS, or EKS.</li></ul> 
Additional Information<div></div> 
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.</div>

Principal Member Technical Staff (Machine Learning)

<div>Company Description 
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it&rsquo;s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. 
Job Description 
Nielsen is seeking a solid and experienced Big Data Engineer. This position requires at least 7 years of experience in the web domain. This position will be responsible for development tasks, including frontend, and database development. The successful candidate will be required to engage with all areas within Nielsen including collection, processing systems, testing, operations, with partners worldwide.. 
Qualifications<ul><li> 
Strong programming skills using at least one of the languages like Spark, Scala, Python.</li><li>Working knowledge of AWS Cloud Servers and related services.</li><li>Good knowledge of RDBMS (MySQL), database designing, and query optimization techniques.</li><li>Experience in NoSQL (MongoDB / DynamoDB / DocumentDB) databases will be an added advantage.</li><li>Experience with Data ETL (Extract Transform and Load) using Legacy and Cloud based services.</li><li>Working knowledge of version controlling systems like GitLab, clear understanding of Gitflow workflow, repository management tools like BitBucket, and understanding of the overall CI/CD process.</li><li>Knowledge with real time streaming data processing using technologies like Kafka &amp; Spark is a plus.</li><li>Knowledge of big data processing and query technologies like Hadoop, Hive and Pig is a plus.</li><li>Knowledge of User Interface design and Data Visualization and Reports is a plus.</li><li>Knowledge of container technologies like Docker and Kubernetes.</li><li>Knowledge of infrastructure as code using Terraform, Cloudformation and Ansible.</li><li>Desire to leverage DevOps techniques including fully automated testing and deployment, Agile methodology and continuous integration/continuous delivery.</li><li>Experience with instrumenting logging and monitoring into applications.</li><li>Experience with setting up test environments, designing test plans, developing test cases/scenarios/usage cases, and executing these cases.</li><li>Experience with Linux OS and Shell scripting.</li><li>Experience with all aspects of product/system development life cycle.</li><li>Desire to invent the next generation of measurement techniques.</li><li>Passionate about technology and the desire to grow professionally.</li><li>Creative thinkers who can propose solutions to tough problems and collaborate well with other Engineers</li></ul> 
Additional Information<div></div> 
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.</div>

Principal Member Technical Staff (Data engineer)

<div>Company Description 
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it&rsquo;s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. 
Job Description 
The Data Processing Specialist will be part of a fast-paced team dedicated to delivering high quality insight at the market level. Our collaborative teams deliver customized data that enables clients to optimize their advertising campaigns, advise their own clients on effective advertising spend, and help them discover innovative ways to reach their customers.
Our Data Processing Specialists use their understanding of the Nielsen Scarborough methodology to readily identify discrepancies, investigate and escalate issues, collaborate with other teams for assistance, and develop efficient solutions.
You will be part of a group of dedicated professionals with a remarkable 50-year legacy of excellence in delivering impactful local surveys to our clients. As a member of our team, you will contribute to this rich history of success, leveraging your expertise to help shape the future of market research. 
Qualifications 
RESPONSIBILITIES:<ul><li>
Responsible for daily production of specific Scarborough key services with on time and accurate delivery to downstream processes. Ensures surveys and processes are set up for each release. Maintains oversight of job status for various data delivery points.</li><li>
Creates and executes macros in Microsoft Excel to check a wide range of survey data for accuracy and quality.</li><li>
Communicates with outside vendors, ensuring a seamless line of communication. Takes responsibility for notifying vendors of data changes and explaining root causes as well as impacts.</li><li>
Monitors job status for various data delivery points, proactively identifies potential delays and ensures timely communication of delivery risks to all downstream teams. Manages multiple projects/services simultaneously and adapts to reprioritization as necessary.</li><li>
Executes quality control measures to ensure processes and tasks are running error free. Checks and trends data for accuracy. Researches and analyzes data discrepancies and collaborates with other team members, managers, or App Dev teams as needed to ensure timely and accurate delivery to all downstream processes.</li><li>
Participates with the Software Testing team to conduct system tests as needed, keeping records of all tests performed including dates, description of test(s), and sample data sets utilized in testing.</li><li>
Creates internal documentation for new processes, reviews and updates existing documentations/check lists for processes performed in their area for accuracy. Participates in cross training sessions for team members to support procedural accuracy and strengthen team resilience through effective knowledge sharing, and build sufficient coverage during absences and peak periods.</li><li>
Monitors the performance of proprietary Scarborough data-processing applications and suggests improvements to increase functionality and ease-of-use.</li><li>
Collaborates with and supports other team members by assisting with workload and responsibilities as needed to help the team meet goals.</li></ul> 

Additional Information 
REQUIREMENTS/SKILLS:<ul><li>
Bachelor&rsquo;s Degree or higher in Commerce, Computer Science or a related field.</li><li>
QA Testing experience preferred</li><li>
2+ years of Media Research experience</li><li>
Familiarity with US geography, retail industry and media landscape</li><li>
Strong organizational skills with excellent attention to detail</li><li>
Proficient in Google Workspace or Microsoft Office Suite</li><li>
Strong English language oral and written communication skills</li><li>
Ability to work independently as well as in a team environment</li><li>
Effective at collaborating on multiple projects</li><li>
Effective time and task management abilities</li><li>
Capacity for logical analysis</li><li>
Knowledge of Market Research and Marketing a plus</li></ul><div></div>
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.</div>

Market Research Analyst

<div>Company Description 
At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it&rsquo;s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. 
Job Description<div> 
We are building the future of media measurement, and Generative AI is at the heart of our transformation. We are seeking an experienced Manager, Full Stack Engineering to lead a new, high-impact team dedicated to building our next-generation GenAI Platform. This is a critical leadership role for a strong technical problem-solver. You will guide a talented, cross-functional team of UI, Backend, and AI/ML engineers responsible for designing, building, and scaling the foundational services, tools, and interfaces that integrate cutting-edge GenAI capabilities across our product suite. This position requires a leader who can bridge the gap between complex AI models, robust backend systems, and intuitive user interfaces. You'll be the key technical and people leader, driving project execution from concept to production and solving complex architectural challenges that will revolutionize how we measure audience engagement and deliver insights. 
 
<ul><li>Lead &amp; Mentor: Manage, coach, and develop a high-performing, cross-functional team of full-stack (UI/Backend) and AI/ML engineers, fostering a culture of innovation, collaboration, and engineering excellence.</li><li>Platform Delivery: Oversee the end-to-end software development lifecycle (SDLC) for the GenAI platform&mdash;from concept and architecture to deployment, observability, and iteration.</li><li>Technical Strategy: Partner with product managers, data scientists, and architects to define the technical roadmap and architecture for a scalable, reliable, and secure GenAI platform.</li><li>Problem-Solving: Act as the primary technical problem-solver for the team, guiding them through complex system design, integration challenges, and performance bottlenecks.</li><li>Cross-Functional Collaboration: Serve as the key interface between your engineering team and stakeholders in product, data science, and other business units to translate complex needs into concrete technical solutions.</li><li>Engineering Excellence: Champion and enforce engineering best practices for code quality, automated testing, CI/CD, security, and platform reliability.</li><li>Hands-On Guidance: Provide technical guidance on the development of robust APIs, microservices, intuitive front-end applications, and the operationalization of AI/ML</li></ul></div> 
Qualifications<ul><li> 
8+ years of hands-on software engineering experience, with a strong background in full-stack development (both front-end and back-end).</li><li>2-3+ years of experience in an engineering leadership or management role, with a proven track record of building and managing high-performing technical teams.</li><li>Strong Technical Acumen: Deep experience building and scaling cloud-native applications, distributed systems, and API-driven platforms (e.g., using AWS, GCP, or Azure).</li><li>Full-Stack Expertise: Proficiency with modern web technologies such as React, Node.js, Python, or Java, along with experience in designing and managing database systems (SQL and NoSQL).</li><li>Exceptional Problem-Solver: A demonstrated ability to navigate ambiguity, break down complex technical problems into actionable plans, and lead a team to a solution.</li><li>AI/ML Familiarity: Hands-on experience or strong familiarity with the AI/ML landscape, particularly in integrating LLMs, NLP services, vector databases, or orchestration frameworks (e.g., LangChain) into applications.</li><li>Excellent Communication: The ability to effectively communicate complex technical concepts to both technical and non-technical audiences, driving alignment across teams.</li><li>Domain Bonus: Experience in the media, ad-tech, or audience measurement industry is a strong plus.</li></ul> 
Additional Information<div></div> 
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.</div>

Manager, MTS - EM Fullstack

Join The Nielsen Company and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.