In this role, you will be working alongside data scientists and engineers within Nielsen s Marketing Effectiveness business, to build a data platform on AWS to ingest data from external sources and perform ETL tasks. The role requires you to have experience working with large datasets with complex schemas, a can-do approach towards automation, with an emphasis on the implementation of best practice cloud security principles. RESPONSIBILITIES Identify, design, and implement process improvements: automating manual processes, optimizing for usability, re-designing for greater scalability Collaborate with product and technology teams to design and validate the capabilities of the data platform Develop, implement and maintain good programming standards and practices across the ecosystem Experience building and optimizing data pipelines in a distributed environment Experience supporting and working with cross-functional teams Excellent communication skills and the ability to present complex ideas in a clear and concise manner to a variety of audiences QUALIFICATIONS 4+ years of experience programming in Python and SQL 4+ years of experience with using a broad range of AWS technologies - e. g. S3, Lambda, Glue, Athena, IAM, SQS, CloudWatch, CloudFormation 2+ years working knowledge of Apache Superset or Tableau, Spark, Hive and Hadoop Ability to implement application components without detailed guidance Proficiency working in Linux environment Experience using tools such as: Git, Gitlab and Jira The training to back your work: a master s degree, bachelor s degree, or, as we recognize there isn t one formula for success, equivalent work experience

Join the Nielsen One Application (N1 Apps) team as we develop the next-generation software suite that unifies all of Nielsen s offerings into one seamless experience. Leveraging cutting-edge technologies, we re on a quest for smart, innovative engineers ready to tackle complex integration tasks and introduce new technologies. At N1 Apps, collaboration is key. We thrive on growth, initiative, and innovation, nurturing an open culture that prizes learning and experimentation. Enhance your skills in our guild meetings, influence our roadmap with your architectural ideas, and collaborate cross-functionally to deliver unparalleled user experiences. We re expanding across multiple teams and are eager to connect with candidates who are ready to make an impact. If you re interested and believe you fit this dynamic role, we d love to hear from you! About the role You ll be working within an international group of teams spanning from India to Europe and the US. As a Senior Scala/Spark Engineer, you will be working alongside and guiding a team of diverse engineers, including DevOps, Data, Backend, and Front End engineers. You should be able to work independently, guide junior engineers, and possess a passion and drive for learning, suggesting, and adapting to new technologies. Key Skills Discuss the Cost of Change (= code quality) with your team members continuously. Write unit tests, integration tests, and API tests. Support the application 24/7 based on team on-call rotations. Write clean code with a focus on coupling, separation of concerns, and best practices. Spend 90% of your time writing code, emphasizing Test-driven development (TDD). Dedicate 10% of your time to learning and improving existing application architecture. Stay open to learning and adapting to new technology architectures and patterns. Possess knowledge of distributed architectures, particularly with Akka, Akka Cluster, and Akka Persistence, alongside experience using Spark with Scala. Have some hands-on experience with building and creating CI/CD pipelines. Conduct code reviews and participate in design discussions. Analyze the impact of changes on data and implement event sourcing and CQRS patterns. Have a strong understanding of functional, reactive and parallel programming. Troubleshoot and solve complex problems in production. Collaborate and coordinate with different stakeholders, including product, data science, and account managers. Diagnose AWS infrastructure issues related to the application. Implement best practices for 24/7 application monitoring, orchestration, and performance optimization. Follow Agile principles, participate in grooming and planning sessions, and effectively translate business requirements to Agile stories. Practice DevOps and SecOps for continuous incremental delivery and quality products with the guidance of senior engineers. Preferred Leadership qualities and the ability to inspire and motivate a team, mentoring junior engineers and fostering a collaborative team environment At least 1 year of experience with Test-driven development (yes, test-first!) Familiarity with CQRS, event sourcing, and Domain-Driven Design (DDD). Familiarity working with large scale enterprise Java/BigData systems using Agile, TDD & DevOps methodologies. Proven track record on delivering enterprise software solutions using Agile principles with either Scrum or Kanban.

Responsibilities Develop and execute the product strategy for tools supporting the panel lifecycle, including Salesforce and ServiceNow Lead and develop a high-performing team of product managers, designers, and program managers Champion the user experience, ensuring a seamless workflow Provide regular updates and report outs to the executive team Define and champion the overall product vision, developing a comprehensive strategy aligned with company objectives. Take direct responsibility for the financial performance of the related products Translate company objectives into actionable product initiatives, prioritizing projects based on business impact. Define and manage the global product roadmap, ensuring it reflects business goals Utilize data to track KPIs, identify trends, and inform product decisions. Work closely with cross-functional teams and communicate effectively with stakeholders. Skills: Ability to develop and execute long-term product strategies aligned with business goals. Panel management and audience measurement experience Proven ability to lead, mentor, and motivate large teams. Financial Acumen Deep understanding of product management principles and methodologies. Strong understanding of user-centered design and UX principles. Ability to analyze data, identify trends, and make data-driven decisions. Ability to work effectively with cross-functional teams. Qualifications: Bachelors degree or equivalent experience. 10+ years in product and panel management, focusing on UX and product optimization. Strong understanding of user-centered design Excellent analytical, problem-solving, communication, and leadership skills. 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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Join the Nielsen One Application (N1 Apps) team as we develop the next-generation software suite that unifies all of Nielsen s offerings into one seamless experience. Leveraging cutting-edge technologies, we re on a quest for smart, innovative engineers ready to tackle complex integration tasks and introduce new technologies. At N1 Apps, collaboration is key. We thrive on growth, initiative, and innovation, nurturing an open culture that prizes learning and experimentation. Enhance your skills in our guild meetings, influence our roadmap with your architectural ideas, and collaborate cross-functionally to deliver unparalleled user experiences. We re expanding across multiple teams and are eager to connect with candidates who are ready to make an impact. If you re interested and believe you fit this dynamic role, we d love to hear from you! About the role You ll be working within an international group of teams spanning from India to Europe and the US. As a Senior Scala/Spark Engineer, you will be working alongside and guiding a team of diverse engineers, including DevOps, Data, Backend, and Front End engineers. You should be able to work independently, guide junior engineers, and possess a passion and drive for learning, suggesting, and adapting to new technologies. Key Skills Discuss the Cost of Change (= code quality) with your team members continuously. Write unit tests, integration tests, and API tests. Support the application 24/7 based on team on-call rotations. Write clean code with a focus on coupling, separation of concerns, and best practices. Spend 90% of your time writing code, emphasizing Test-driven development (TDD). Dedicate 10% of your time to learning and improving existing application architecture. Stay open to learning and adapting to new technology architectures and patterns. Possess knowledge of distributed architectures, particularly with Akka, Akka Cluster, and Akka Persistence, alongside experience using Spark with Scala. Have some hands-on experience with building and creating CI/CD pipelines. Conduct code reviews and participate in design discussions. Analyze the impact of changes on data and implement event sourcing and CQRS patterns. Have a strong understanding of functional, reactive and parallel programming. Troubleshoot and solve complex problems in production. Collaborate and coordinate with different stakeholders, including product, data science, and account managers. Diagnose AWS infrastructure issues related to the application. Implement best practices for 24/7 application monitoring, orchestration, and performance optimization. Follow Agile principles, participate in grooming and planning sessions, and effectively translate business requirements to Agile stories. Practice DevOps and SecOps for continuous incremental delivery and quality products with the guidance of senior engineers. Preferred Leadership qualities and the ability to inspire and motivate a team, mentoring junior engineers and fostering a collaborative team environment At least 1 year of experience with Test-driven development (yes, test-first!) Familiarity with CQRS, event sourcing, and Domain-Driven Design (DDD). Familiarity working with large scale enterprise Java/BigData systems using Agile, TDD & DevOps methodologies. Proven track record on delivering enterprise software solutions using Agile principles with either Scrum or Kanban.

India - Consultants/ Analytics Professionals RESPONSIBILITIES Lead with excellence Marketing Mix with our clients from the lockdown of BQs to Insights through a defined core deliverable. Ensure pro-active insights and action oriented solutions are delivered to the team by being an expert with an ability to explain methodology behind key analytics and results to clients Partner with clients to provide the best marketing plan based on the results of analysis and optimizations Develop recommendations based on the insights derived from the analysis, decks and/or scorecards to report results & provide advice, and present to client Collaborate with other Nielsen teams to provide holistic support to clients Design, execute and present analytic studies to meet clients research objectives on the fast moving media landscape Focus on collaboration and trust with all the other MMM teams and our clients and foster a culture that encourages Diversity, Inclusion and Self-development. Establish enduring client connections with senior decision makers at client by demonstrating on-going value by driving client outcome Mentor junior associates in best practices, client communication, and project execution QUALIFICATIONS Bachelor degree required, advanced degree preferred 5+ years of marketing research or analytics experience in FMCG, Finance, Technology, Automotive, etc Consultative story-telling ability to turn data into insights Experience with analyzing on-line advertising is an advantage Enjoy being hands-on with data and analysis Enthusiasm for applying statistical analysis to address business issues Comfortable working with large data sets Well-organized and detail-oriented, capable of handling several projects at a time while meeting deadlines Strong communication and presentation skills Fluent English. Experience with Nielsen, Circana and media audience data is a plus

India - Consultants/ Analytics Professionals RESPONSIBILITIES Lead with excellence Marketing Mix with our clients from the lockdown of BQs to Insights through a defined core deliverable. Ensure pro-active insights and action oriented solutions are delivered to the team by being an expert with an ability to explain methodology behind key analytics and results to clients Partner with clients to provide the best marketing plan based on the results of analysis and optimizations Develop recommendations based on the insights derived from the analysis, decks and/or scorecards to report results & provide advice, and present to client Collaborate with other Nielsen teams to provide holistic support to clients Design, execute and present analytic studies to meet clients research objectives on the fast moving media landscape Focus on collaboration and trust with all the other MMM teams and our clients and foster a culture that encourages Diversity, Inclusion and Self-development. Establish enduring client connections with senior decision makers at client by demonstrating on-going value by driving client outcome Mentor junior associates in best practices, client communication, and project execution QUALIFICATIONS Bachelor degree required, advanced degree preferred 5+ years of marketing research or analytics experience in FMCG, Finance, Technology, Automotive, etc Consultative story-telling ability to turn data into insights Experience with analyzing on-line advertising is an advantage Enjoy being hands-on with data and analysis Enthusiasm for applying statistical analysis to address business issues Comfortable working with large data sets Well-organized and detail-oriented, capable of handling several projects at a time while meeting deadlines Strong communication and presentation skills Fluent English. Experience with Nielsen, Circana and media audience data is a plus

ABOUT THIS JOB: Nielsen is the industry s most trusted data analytics solution for video content across all platforms and devices. We follow modern security practices to uphold the privacy and security of all our data and systems. Were protecting tens of thousands of endpoints across multiple cloud and on premise environments. As a Cybersecurity Architect, youll have the opportunity to work with industry leading technologies at scale to protect our products from an always evolving threat landscape. This hands-on position will be responsible for Nielsen s security architecture strategy and execution; and will collaborate with other cross-functional teams to ensure solutions are effective and in alignment with Nielsen s strategic goals. Nielsen provides all its employees with opportunities for education & training, including reimbursement for certification or degree programs and the chance to attend training conferences. We also provide an unlimited PTO program and advancement opportunities along a technical or managerial path of your preference. RESPONSIBILITIES: Develop overall security architecture strategy. Identify, develop, and maintain a consistent security reference architecture across cloud and globally distributed data centers. Research, identify, design, and implement cybersecurity technologies globally. Proactively work with other teams (cybersecurity, vendors, and product development) to ensure solutions are in alignment with Nielsen s strategic goals. Participate in definition and prioritization of work executed by other teams (network operations, cloud operations, etc. ) based on risk profiles/ threat models. Consult in project-based initiatives that are not driven by cybersecurity. Support vendor relationships for cybersecurity technologies and work with vendor support during defect root cause and corrective investigations. Identify and foster stakeholder engagement across the business in order to be successful with these responsibilities. A LITTLE BIT ABOUT YOU: With your problem-solving abilities and strong understanding of cybersecurity, you can help Nielsen stay on the forefront of the evolving cybersecurity threat landscape. You are proactive in finding and correcting issues, and in looking for ways to maximize effectiveness of existing technologies. It is important to you to stay current on technologies, vulnerabilities, exploits, and the expanding cyber-attack surface (cloud services, remote work, IoT, supply chain). You approach challenges from new perspectives and develop effective solutions for unique problems. You are able to effectively prioritize and perform work with autonomy. You look for opportunities to drive efficiency via automation and collaboration. QUALIFICATIONS: 5 years of direct network/ security experience. Hands-on experience developing architecture roadmaps aligning with enterprise architecture principles. Strong understanding of fundamental security technologies such as Firewalls, Secure Web Gateway, AV/ EDR, DLP, URL Filtering, SIEM. Knowledge of cloud computing concepts, standards and controls (AWS, GCP, Azure). Experience providing and validating security requirements related to system design, implementation and business processes. Knowledge of security industry standards (ISO, CIS, NIST, etc. ) and best practices. Ability to work both independently and as part of a team with minimal supervision. Ability to communicate technical details in a clear, understandable manner. Security certification such as SANS/GIAC, CISSP, CEH, OSCP.

About the Role: We are seeking a highly motivated and versatile Platform Engineer to contribute to all facets of our Data Platform. This role encompasses both Data Engineering responsibilities, including database querying, query optimization, and ETL pipeline development, and Platform Tooling development to enhance the overall efficiency and scalability of our data infrastructure. We are looking for a candidate having good Data Engineering concepts and experience with tools such as Apache Airflow, AWS Glue, and related technologies combined with understanding and the right learning attitude of backend coding. You will play a critical role in building and maintaining a robust and performant data platform that empowers data-driven decision-making across the organization. Responsibilities: API Development Design, develop, and maintain RESTful APIs using languages such as Java, Go, NodeJS, or Python (experience with at least one required). Write clean, well-documented, and testable code. Implement authentication, authorization, and security best practices. Optimize API performance and scalability. Participate in code reviews and provide constructive feedback. Data Engineering Design, build, and maintain data pipelines for collecting, processing, and storing large datasets. Work with databases (SQL and NoSQL) to ensure data integrity and performance. Implement data quality checks and monitoring. Develop and maintain ETL (Extract, Transform, Load) processes. Explore and implement new data technologies to improve our data infrastructure. Contribute to the design and maintenance of our overall data architecture, ensuring efficient data flow between the data lake and data warehouse. Platform Maintenance & Improvement Monitor and troubleshoot production systems. Identify and resolve performance bottlenecks. Contribute to the development of platform standards and best practices. Participate in on-call rotation (if applicable). Qualifications Bachelors degree in Computer Science or a related field. Minimum of 2 years of experience in backend API development and data engineering. Proficiency in at least one of the following programming languages: Java, Go, NodeJS, or Python. Experience with RESTful API design and development. Strong understanding of data structures, algorithms, and database concepts (SQL and NoSQL). Experience with data pipeline technologies (e. g. , Apache Kafka, Apache Spark, Apache Airflow, AWS Glue). Experience with cloud platforms such as AWS, Azure, or GCP. Experience with version control systems (e. g. , Git). Experience with testing frameworks and methodologies. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience working with data lakes and data warehouses. Bonus Points Experience with containerization technologies (e. g. , Docker, Kubernetes). Experience with infrastructure-as-code tools (e. g. , Terraform, CloudFormation). Experience with monitoring and logging tools (e. g. , Prometheus, Grafana, ELK stack). Contributions to open-source projects. Experience with Agile development methodologies. 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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

ABOUT THIS JOB: Nielsen is the industry s most trusted data analytics solution for video content across all platforms and devices. We follow modern security practices to uphold the privacy and security of all our data and systems. We are looking for a strategic, detail-oriented individual to join our team as a security analyst. Your responsibilities will include interfacing with the business to identify and reduce risk through the support of the fusion operations center. This role will have the unique opportunity to work in both the cyber and physical security realms, so having a diverse background in law enforcement, criminal justice, and cyber security is a plus. To be successful as a security analyst, you should have excellent attention to detail as well as strong strategic planning skills. Outstanding security analysts display great communication and interpersonal skills, as well as top-notch technical skills. Nielsen provides all its employees with opportunities for education & training, including reimbursement for certification or degree programs and the chance to attend training conferences. We also provide an unlimited PTO program and advancement opportunities along a technical or managerial path of your preference. RESPONSIBILITIES: Security Systems Management: Oversee and maintain security systems including Access Control, CCTV, and Alarm systems. Incident Response: Manage incoming security alerts and requests, prioritize incidents, and lead investigations. Risk Mitigation: Identify and assess potential security threats and implement countermeasures. Policy & Procedure Development: Create, maintain, and ensure compliance with security protocols, plans, and policies. Staff Training: Train staff on security awareness, incident response, and risk mitigation. System Optimization: Design, implement, and manage security systems to protect people, facilities, and infrastructure. Data Analysis: Utilize data analysis and reporting to identify trends and improve security effectiveness. Project Management: Plan, implement, and manage security-related projects. Proficiency in Excel/Google Sheets: Demonstrated proficiency in spreadsheet software for data analysis and reporting. A LITTLE BIT ABOUT YOU: With your problem-solving abilities and deep understanding of physical security, you can help Nielsen stay on the forefront of the evolving security best practices. You are excited by the challenge of learning new technologies. You are proactive in finding and correcting issues, and in looking for ways to maximize effectiveness of existing technologies, products, and platforms. You approach challenges from new perspectives and develop effective solutions for unique problems. You appreciate the importance of operations as an enabler for incremental development and can effectively prioritize and perform work with autonomy. QUALIFICATIONS: A Bachelors degree in security, law enforcement, criminal science, or a related field. Minimum of 3-5 years experience in security. Highly skilled in Excel/Google Sheets and ability to learn other computer systems Excellent technical skills for building security architecture aligned with the businesss requirements. Great communication skills and the ability to present technical jargon in an understandable way. Excellent analytical, organizational, and decision-making skills. A highly logical, honest, and objective nature. Good teamwork and time management skills.

Job Summary Nielsen is a leading online, radio and television research company specializing in industry leading measurement solutions that provide clients with a comprehensive understanding of the online world. Our Data Science team is experimenting, testing, and driving major insights that impact both a global network of clients and own Nielsen direction. As a Data Scientist you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and analytical studies. Excited? Come join us! This role is based out of Mumbai , is a part of GCM team and will be reporting to GCM regional team leader. To leverage extensive data science expertise in driving the development and refinement of advanced analytical models that enhance Nielsens audience measurement products for clients. To build and build custom data pipeline for clients within Nielsen s proprietary audience measurement tool - NielsenOne. The role involves translating complex datasets into actionable insights, leading cross-functional projects, and contributing to the strategic direction of the analytics function. Responsibilities Drive the development of advanced analytics to improve predictive modeling and real-time insights for Nielsens data products. Craft scalable, interpretable models, employing AI and machine learning to enhance data product sophistication and solve customer problems quickly. Harness diverse datasets to engineer features that bolster predictive capabilities, optimizing Nielsens data analysis processes. Articulate complex analytics methodologies to internal and external Nielsen stakeholders, demonstrating their direct relevance to strategic audience measurement goals. Champion data-driven cultures within Nielsen, spotlighting the role of sophisticated data analysis in resolving audience measurement challenges for enhanced client impact. Direct educational initiatives at Nielsen to heighten the application of data science in audience analytics, aligning with the latest industry trends and standards. Provide expert apprenticeship to Nielsens data science team, cultivating advanced skill sets in audience measurement analytics. Lead effective cross-functional collaboration between data science and technology to advance the analytical tools and applications used in audience analytics and convert methodologies into client impact. Stay informed about the latest technology and methodology by participating in industry forums, having an active peer network. Cultivate a team environment focused on continuous learning, where innovative audience measurement methodologies are developed and refined through collaborative effort. Key Skills Possession of a Bachelor s degree, with a preference for an MS or PhD in Data Science, Computer Science, Engineering, or Statistics. At least 5 years of experience in data science roles, or a graduate degree in a quantitative discipline with a demonstrated skill set in data science and 2+ years of work experience. Experience in media industry /content management is good to have. Proven ability to merge and transform diverse internal and external datasets to create innovative features. Expertise in using machine learning for clustering, classification, regression, anomaly detection, and simulation problems, particularly with large datasets. High proficiency in Python, R, SQL, and PySpark; experience with ETL (e. g. , Airflow) and cloud-based environments (e. g. , AWS) is a plus. Familiarity with big data technologies like Hadoop, Spark, H20. ai, cloud AI platforms, and containerization; proficiency with DevOps tools. Experience in using data visualization tools such as Tableau, R Shiny, Plotly, etc. , for effective communication of complex data insights. Deeper knowledge of handling big data environments and understanding of data engineering principles. Exceptional communication and collaboration skills to understand and cater to business partner needs and work effectively in team settings. A customer-first approach by anchoring and solving customer problems rapidly, aligning data-driven decisions with customer needs to deliver rapid customer impact. A bias for action and an ability to deliver outstanding results through effective task prioritization and time management. 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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Your primary objective is to ensure project goals are achieved and are aligned with business objectives. You will also work closely with your Scrum team and program team to test, develop, refine and implement quality software in production via standard Agile methodologies. You will mentor and help other team members to deliver the scrum team objectives. Responsibilities Build scalable, reliable, cost-effective solutions for both the Cloud and on-premises. Understanding of current technologies and experience with legacy technologies. Understands when the architecture needs to change to meet requirements. Understand system test principles and best practices. Create reusable code and components for audio software development, to be utilized across various projects. Provide cloud integration development support to various project teams. Rapidly identify and resolve technical incidents as they emerge Collaborate effectively with Data Science to understand, translate, and integrate methodologies into engineering build pipelines. Key Skills (Domain Expertise) 4-12 years of related experience with a Bachelor s degree or equivalent work experience. Must have strong analytical and technical skills in troubleshooting and problem resolution Technical Skills 4-8 years of hands-on software development with a bachelor s degree. Experience in software development using programming languages & tools/services: . Net Programming (c#, Basic, asp. net), Java, Python, JavaScript and strong in SQL. Experience with orchestration tools: Apache Airflow or similar tools Strong knowledge on Windows, Unix/Linux OS, commands, shell scripting, python Strong experience in Java/J2EE, Spring boot/cloud frameworks Agile scrum experience in application development experience is required. Strong knowledge in SQLServer and/or Oracle Deployment and automation: CI/CD Pipeline Knowledge in Gitlab /Bitbucket . AWS Programming Certification is a plus. Ability to quickly learn vendor owned Computer Aided Telephone Interviewing (CATI). Mindset and Attributes Strong verbal and written communication skills. Strong analytical and technical skills in troubleshooting and problem resolution 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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Ever wonder how Nielsen figured out that 127. 3 million people tuned in to watch Super Bowl LVIII? Thats what we do here. Come and join our team of professionals and together we will build a cutting-edge Television measurement system. On this specialized team, we will use a combination of technology, curiosity and culture to empower our teams and people to be successful and focused on delivering highly reliable and accurate systems. Our focus will be to develop and deliver content recognition engines used in measuring streaming video, commercials, and broadcast TV. Language requirements : GoLang, Python Technical skills: Kubernetes, Pulumi, Terraform Knowledge of specific systems : AWS S3, SQS, EC2, RDS Responsibilities The duties of this position include the development and refinement of a high-resolution content identification system used in the identification of television programs and commercials. You will be working on a scrum team with other skilled developers sharing best practices and exploring new technologies and algorithms that will advance the excellence of our measurement. You will build and maintain microservices that power the content identification services used in Television Audience Measurement. These micro services run in AWS and consume and process data using advanced algorithms that are tuned for efficiency. You will also be responsible for the efficient use of AWS resources on our projects. Critical thinking and Innovation are highly valued on this team and everyone is expected to think out of the box, bring new ideas and to challenge what we do and how we are doing it. Qualifications Bachelors degree in Computer Engineering related field (or equivalent experience). 7+ Years of experience in programming back office services. Skilled in GoLang and fluent in Python. Skilled in AWS Programming APIs for S3, SQS. Experienced in Kubernetes. Experienced in writing Infrastructure as code: Pulumi and/or Terraform. Experienced in Operating and writing Airflow DAGs. Has fundamental skills in Signal Processing - FFT, Nyquist cutoff, etc. Strong skills in Hashing data and working with large hash tables. Having past experience of working efficiently with large data sets. Strong abstract reasoning and problem solving skills. Demonstrate the ability to perform a root cause analysis 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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

About the Role: Bilingual Contact Center Specialist at Nielsen supporting our Mexico operation. In this role, you will conduct various basic call types (some using a dialer)to panelists, respondents and other customers across the US. This may include calls to support scheduling, data collection, basic troubleshooting, action reminders, and inbound services. Your goal is to grab the attention of homes and motivate them to respond to the call purpose. This position has set guidelines with high productivity, performance, and quality requirements. This role will require a combination of in office and remote work. The majority of the time, you will be required to work in the office. Job Responsibilities & Home Office Requirements Conduct phone surveys and collect data Provide exceptional customer service Maintain confidentiality of information Meet performance and quality standards Troubleshoot basic technical issues Maintain a home office with high-speed internet (80mbps download, 10mbps upload) Work flexible hours, including evenings and weekends Qualifications Fluency in English and Spanish (written and spoken) required Experience in customer service, call centers, or similar fast-paced environments Strong communication and multitasking skills Comfort with technology Self-motivated and able to work independently 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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

About the Role: Bilingual Contact Center Specialist at Nielsen supporting our Mexico operation. In this role, you will conduct various basic call types (some using a dialer)to panelists, respondents and other customers across the US. This may include calls to support scheduling, data collection, basic troubleshooting, action reminders, and inbound services. Your goal is to grab the attention of homes and motivate them to respond to the call purpose. This position has set guidelines with high productivity, performance, and quality requirements. This role will require a combination of in office and remote work. The majority of the time, you will be required to work in the office. Job Responsibilities & Home Office Requirements Conduct phone surveys and collect data Provide exceptional customer service Maintain confidentiality of information Meet performance and quality standards Troubleshoot basic technical issues Maintain a home office with high-speed internet (80mbps download, 10mbps upload) Work flexible hours, including evenings and weekends Qualifications Fluency in English and Spanish (written and spoken) Experience in customer service, call centers, or similar fast-paced environments Strong communication and multitasking skills Comfort with technology Self-motivated and able to work independently 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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Join our Big Data Methodology & Computations team and become a key contributor to the future of Media Audience Measurement. As a Senior Data Scientist, you will: Become a subject matter expert in US TV Audience Measurement. Drive Client Acceptance: Conduct custom analyses using your investigative skills and deep understanding of Nielsen s data and proprietary big data models to demonstrate the value and validity of our data science methodologies, promoting client acceptance. Develop & Enhance Methodologies: Strategically select data, lgorithms/models, and tools to achieve business objectives related to the integration of big data assets from set-top boxes and smart TVs into Nielsen s accredited TV audience measurement products. This role offers a unique opportunity to: Innovate in Media Measurement: Contribute to cutting-edge research and deploy advanced methodologies in the dynamic media audience measurement industry. Enhance Technical Expertise: Optimize codebases, build simulation environments and pipelines, and conduct research to improve audience measurement estimates. Develop Data Science Skills: Gain comprehensive experience across the data science workflow and product lifecycle, from methodology development and analysis to automation and scalable code development. Bridge Data Science and Business Impact: Work at the intersection of data science theory, applied statistics, and business impact, translating complex measurement methodologies into effective products that meet the needs of the media industry. The ideal candidate will have a strong desire to understand all aspects of Nielsen data, grow their technical and statistical skills, and understand our clients needs to produce methodologies that provide the best audience measurement solution available in the industry. Responsibilities Become a US TV Audience Measurement expert, focusing on data science methodologies for big data and panel integrations Conduct research and analytics to validate methodologies, identify trends, discrepancies, and opportunities for methodological improvements; troubleshoot and resolve issues Own custom analyses in response to clients inquiries, driving acceptance and adoption of Nielsen methodologies Develop reproducible data science pipelines, focusing on statistical/machine learning model development, validation, and deployment using a balance of theoretical research and practical application, ensuring methodologies are both scientifically defensible and scalable for production use Work with cross-functional, global teams to productionize, validate, refine and defend methodologies Maintain data science best practices in software development, including documentation, reproducibility, and version control Champion a team environment of continuous learning and collaborative innovation Adopt the Nielsen Way and live Nielsen s values of Inclusion, Courage and Growth Skills Bachelor s or Master s degree, or equivalent experience, in a quantitative research field (computer science, data science, statistics, mathematics, biological/physical/social sciences, etc. ) 3-5 years of professional experience in code development and research Experience processing and modeling large datasets with Python using machine learning techniques including clustering, classification, regression, anomaly detection, and simulation Strong expertise using SQL for querying and analyzing large datasets within a data lake environment Competence in using data visualization tools (Tableau, R Shiny, Plotly) to clearly and beautifully communicate data insights Familiarity with Spark, git, AWS (S3 and EC2) and Databricks Demonstrated ability to collaborate successfully with colleagues from different functional areas and geographical locations with varying technical expertise Strong problem solving and critical thinking skills Excellent English verbal and written communication skills Outstanding statistical and analytical skills Candidate should be curious, resourceful, discerning and motivated by new challenges 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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Key Responsibilities: Analyze, design, code, and test highly complex software independently, ensuring robustness and scalability. Act as a technical lead, providing expertise and strategic direction in software development projects. Develop and implement strategies for complex software applications, adapting architecture as necessary to meet evolving requirements. Author comprehensive technical documentation to aid in maintenance and knowledge sharing. Develop, test, and maintain software applications, ensuring they are user-friendly, efficient, and meet all specified requirements. Lead and contribute to all phases of testing, from unit to user acceptance, and ensure software quality through revisions based on test outcomes. Provide leadership within project teams, offering technical insights, reviewing code, and suggesting enhancements. Support internal users and support teams by troubleshooting, assessing, and resolving software issues promptly. Evaluate and integrate new technologies to enhance development capabilities and application performance. Manage software configurations, ensuring adherence to IT standards and maintaining version control in repositories. Collaborate with vendor partners, providing direction when necessary to align with project goals. Specific Technical Skills: Deep understanding of Javascript and related frameworks, ability to evaluate strengths and weaknesses of coding choices, alongside proficiency in design patterns. Expertise in frontend design, development and related technologies such as in Javascript, CSS, HTTP, including frameworks like ReactJS, jQuery, NodeJS, Webpack, Babel. Familiarity with Microservices, RESTful services, Deployment Topology (CDN, Cachings, UI Speed and Performance Optimization). Solid understanding of Data Structures and Algorithms, with an emphasis on scalability and performance optimization. Proficient with testing frameworks appropriate for different levels of the test pyramid. Hands on in developing unit tests and automated test suites using frameworks such as Jest, Mocha, Selenium, Cucumber, etc. Familiarity and willingness to learn backend technologies, to evolve into a full stack engineer. Qualifications: Minimum of 5 years of related experience with a Bachelor s degree, or equivalent education/work experience. Strong problem-solving skills with an aptitude for learning and implementing new technologies. Excellent leadership skills with experience in leading projects or teams. Exceptional analytical and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. 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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job Summary The Big Data and Panel Integration team within the Data Science organization focuses on improving and enhancing Nielsen s highly successful audience measurement products out in the marketplace for advertising and content measurement. As part of this exciting team, this position will focus on developing new methodologies to measure audiences across platforms (including on connected or over the top devices, smart TVs, or set top boxes) and on evaluating and integrating new data assets and partners into Nielsen s existing methodologies in order to enhance or expand the data delivered to clients. The Senior Data Scientist role provides an opportunity to contribute to methodological innovation in the exciting and fast changing world of media measurement. This position will develop new methodologies to measure audiences across platforms and integrate new big data data assets into Nielsen s existing methodologies. This is an ideal position to grow as a researcher, contribute to innovative products, and deploy cutting edge methodologies across platforms in audience measurement methodology. In this role, you will work closely with other members of the team to optimize and maintain the current codebase, create simulation environments and pipelines, and have the opportunity to conduct research that will enhance the utility of our data. You will also write new coding packages to support the refinement processes of behavioral media tuning data (e. g. household demographic assignment, big data editing rules, big data refinement models) by producing production ready code (scalable, reusable/modular). In addition, you will have the opportunity to grow your data science skills (coding, statistics) through all aspects of the data science workflow and data product lifecycle. Responsibilities would range from methodology development, analysis, lightweight automation to designing, building, and maintaining robust/scalable code packages. Responsibilities Own reproducible data science projects end-to-end. Deploy and maintain data pipelines and models in a production environment. Work with cross-functional teams to productionize, validate, maintain, and optimize methodologies. Conduct research and analytics to ensure methodologies are fit for purpose and working as intended; troubleshoot, diagnose, and resolve when they are not. Provide technical mentorship. Communicate research findings to varying audiences. Develop, implement and maintain good programming standards and practices across our data science and analytics codebases. Champion and govern best practices for data use and software development. Use git and cloud development tools extensively to iterate and improve data science workstreams. Qualifications Bachelor s or Master s (preferred) degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc. 3-5 years code development/research experience in a business setting. Strong proficiency with Python, Spark, SQL, Unix, git, and AWS (S3 and EC2) Excellent verbal and written communication skills. Excellent software engineering fundamentals. Excellent debugging skills. Excellent machine learning fundamentals. Outstanding statistical and analytical skills. Collaborative code development experience, including version control, unit/integration testing, code review and sharing. Curiosity and skepticism 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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job Summary Nielsen is a leading online, radio and television research company specializing in industry leading measurement solutions that provide clients with a comprehensive understanding of the online world. Our Data Science team is experimenting, testing, and driving major insights that impact both a global network of clients and our own Nielsen direction. As a Data Scientist you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and analytical studies. Excited? Come join us! The Advanced Audience Team focuses on methodologies and pipelines that measure how effectively these campaigns reach targeted audiences, as defined by the client, or via demographics, or even pre-defined audiences from our partners. The team builds and maintains robust data pipelines that support the advanced analytics needs of Nielsens audience measurement products that provide value for clients. The role entails ensuring data quality and accessibility, optimizing data flow and storage, and collaborating with other data scientists to implement scalable solutions for complex data challenges. Responsibilities Design, develop, optimize, and maintain robust data architecture, methodologies, and pipelines, aligning with ETL principles and Nielsens business objectives. Refactor research software prototypes to production grade standards, improving performance and reliability. Tackle complex data challenges to deliver actionable insights, aiding in the achievement of organizational goals and meaningful client impact. Develop data science methodologies and solutions that solve key client problems, and that are reproducible and scalable. Ensure the integration of disparate data sources into a cohesive and efficient data ecosystem, facilitating seamless data accessibility and interoperability for various analytical platforms and stakeholders throughout Nielsen. Offer mentorship, advice, and coaching to other professionals in data and analytics on best practices and standards. Lead in the evaluation and deployment of cutting-edge methodologies and processes in data science, boosting the teams overall efficiency and effectiveness. Collaborate with business analysts and solutions architects to devise technical architectures for key enterprise projects and initiatives that improve client experience. Engage in continuous learning in areas like engineering, machine learning and data science. Qualifications Masters degree in Data Science, Computer Science, Statistics or Mathematics, Operation Research, or other hard sciences) with outstanding analytical expertise and strong technical leadership skills. Excellent software engineering fundamentals and debugging skills. Significant experience with collaborative code development, including version control, unit/integration testing, code review and sharing. Significant experience working in a cloud-based environment, ideally AWS. Strong machine learning fundamentals. Proficient in Python. Have a thirst for new challenges. The candidate should be comfortable diving into the unknown and making sense of whats noise and what isnt. Have an eye for design at multiple levels: Infrastructure architecture (cloud infrastructure), ETL data pipelines, and analytic pipelines. Have Experience building analytic methodologies: either from scratch, using existing software libraries and APls, and/or combinations of the two. Feel comfortable and excited to bring innovative ideas and challenge existing methods and processes. This requires the ability to pick apart the implementation details from the overall design. Help incubate a forward-thinking culture in a growing data-science organization. This includes prioritizing staying up-to-date with new software, methodologies, and industry research and facilitating the cross pollination of ideas across individuals and teams. Be self-motivated with a keen problem-solving aptitude and a continuous learning mindset. Demonstrates a strong work ethic, capable of working abstractly. Strong communication (verbal and written) and presentation skills in English. 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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job Summary Nielsen is a leading online, radio and television research company specializing in industry leading measurement solutions that provide clients with a comprehensive understanding of the online world. Our Data Science team is experimenting, testing, and driving major insights that impact both a global network of clients and our own Nielsen direction. As a Data Scientist you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and analytical studies. Excited? Come join us! The Advanced Audience Team focuses on methodologies and pipelines that measure how effectively these campaigns reach targeted audiences, as defined by the client, or via demographics, or even pre-defined audiences from our partners. The team builds and maintains robust data pipelines that support the advanced analytics needs of Nielsens audience measurement products that provide value for clients. The role entails ensuring data quality and accessibility, optimizing data flow and storage, and collaborating with other data scientists to implement scalable solutions for complex data challenges Responsibilities Design, develop, optimize, and maintain robust data architecture, methodologies, and pipelines, aligning with ETL principles and Nielsens business objectives. Tackle complex data challenges to deliver actionable insights, aiding in the achievement of organizational goals and meaningful client impact. Develop data science methodologies and solutions that solve key client problems, and that are reproducible and scalable. Ensure the integration of disparate data sources into a cohesive and efficient data ecosystem, facilitating seamless data accessibility and interoperability for various analytical platforms and stakeholders throughout Nielsen. Offer mentorship, advice, and coaching to other professionals in data and analytics on best practices and standards. Lead in the evaluation and deployment of cutting-edge methodologies and processes in data science, boosting the teams overall efficiency and effectiveness. Collaborate with business analysts and solutions architects to devise technical architectures for key enterprise projects and initiatives that improve client experience. Engage in continuous learning in areas like machine learning, data science, AI, statistics, and applied mathematics Skills Masters degree in Data Science, Computer Science, Statistics or Mathematics, Operation Research, or other hard sciences) with outstanding analytical expertise and strong technical leadership skills. Proficient in Python or other general purpose programming languages, or other statistical/data processing packages. Have a thirst for new challenges. The candidate should be comfortable diving into the unknown and making sense of whats noise and what isnt. Have an eye for design at multiple levels: Infrastructure architecture (cloud infrastructure), ETL data pipelines, and analytic pipelines. Have Experience building analytic methodologies: either from scratch, using existing software libraries and APls, and/or combinations of the two. Feel comfortable and excited to bring innovative ideas and challenge existing methods and processes. This requires the ability to pick apart the implementation details from the overall design. Have a mathematical and/or statistical background with the ability to dive "into-the-weeds" when necessary to help fine-tune methods and models. Help incubate a forward-thinking culture in a growing data-science organization. This includes prioritizing staying up-to-date with new software, methodologies, and industry research and facilitating the cross pollination of ideas across individuals and teams. Be self-motivated with a keen problem-solving aptitude and a continuous learning mindset. Demonstrates a strong work ethic, capable of working abstractly. Be able to communicate effectively to various types of personas: commercial partners, product leaders, infrastructure architects, data scientists, and data engineers. 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 youre unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

ABOUT NIELSEN Nielsen, formerly Nielsen Holdings plc, is a global data and analytics company that provides a comprehensive understanding of consumer behavior and media consumption. Nielsen is a global leader in audience measurement, data and analytics, shaping the future of media. Measuring behavior across all channels and platforms to discover what audiences love, we empower our clients with trusted intelligence that fuels action. Nielsen has a presence in approximately 49 countries, with headquarters in New York, USA and Diemen. THE JOB BRIEF Looking for a dynamic career with a company that encourages and rewards creativity and fresh thinking? Do you love turning the complex into something simple and easy to understand? Are you looking at starting a career in data analytics or media research? Are you keen to learn and keen to grow? This could be the ideal role for you. The Consumer Media Insights (CMI) & Consumer and Media View (CMV) Operation s teams are responsible for ongoing delivery of survey data to clients in New Zealand and Australia. The Nielsen Consumer survey provides a 360 degree view of the consumer, and provides valuable insights to our clients on what people are, watching, buying and doing. The Operations team, based in Bangalore, are seeking an enthusiastic, permanent new team member to join a hard working, collaborative team. Day to day, The Operations Team leader will play an important role in impacting what data we provide to clients. They will work closely with key stakeholders in the CMI & CMV process to ensure the data we provide is high quality, accurate and timely. Stakeholders include: Senior Operations Leads based in Australia & New Zealand: Responsible for the end-to-end data collection, production and resource management. Programming team: Managing the back end of the survey. Communicating and updating the programmers on required changes and updates. Customer Success team based in Australia & New Zealand: Work closely with the Operations team to ensure consistency in the data, supporting client requests & assisting meeting market needs. Making suggestions for ongoing improvement to the CMV & CMI Surveys. Responsibilities Lead and manage a team of 6 to 7 individuals Organise, plan, control and monitor workflow, co-ordinating resources to ensure consistent completion of daily tasks in alignment with established service standards. Support team deliverables by undertaking a range of roles and tasks when required. Conduct survey testing and survey validation to ensure data accuracy and reliability Responsible for ensuring all Quality Control checks and analysis required are completed by local teams within the agreed timeframes and in accordance with documented procedures. Ensure all scheduled tasks are completed within the given timeline. Collaborate effectively with the Pacific production team on a daily basis to ensure a smooth data delivery to CMV & CMI Clients. Contribute towards ongoing process improvement and implementation. Report daily tasks in resource reporting software. Work inclusively with your team and stakeholders. Input into the development of individual team members, ensuring cross training is carried out and there is sufficient knowledge and resource to cover absences. Troubleshooting technical data queries and assisting internal stakeholders. SKILLS AND EXPERIENCE Having at least 2 years experience in managing a small to medium team 7-10 years of total working experience Working Hours: 7am IST to 4pm IST Knowledge of end-to-end operational production workflows and methodologies Demonstrated experience in designing and maintaining market research surveys and understanding of different surveying methodologies. Strong verbal and written communication skills Excellent organisational skills & the ability to juggle competing priorities An interest in data analytics Intermediate level of proficiency in MS Excel/Google Sheets preferred Knowledge of programming languages; SQL, Google Apps Script preferred Experience using a workforce planning/scheduling tool