Nielsen is seeking an organized, detail oriented, team player, to join the Engineering team in the role of Software Machine Learning Engineer. Nielsen's Audience Measurement Engineering platforms support the measurement of television viewing in more than 30 countries around the world. The Software Engineer will be responsible to define, develop, test, analyze, and deliver technology solutions within Nielsen's Collections platforms. Required Skills Bachelor's degree in Computer Science or equivalent degree. 3+ years of software experience Experience with Machine learning frameworks and models. Pytorch experience preferred Strong understanding of statistical analysis and mathematical data manipulation Work with web technology including Java, Python, JavaScript, React/Redux, Kotlin. Follow best practices for software development and deployment Understanding of relational database, big data, and experience in SQL Proficient at using GIT, GitFlow, JIRA, Gitlab and Confluence. Strong analytical and problem solving skills. Open-minded and passionate to learn and grow technology skills Strong sense of accountability Solution-focused and ability to drive change within the organization Experience in writing unit/integration tests including test automation. Strong testing and debugging abilities, functional, analytical and technical abilities, ability to find bugs, attention to detail, troubleshooting Additional Useful Skills A fundamental understanding of the AWS ecosystem (EC2, S3, EMR, Lambda, etc) Experienced in building RESTful APIs. Experience in writing unit/integration tests including test automation.
Gracenote, a Nielsen company, is dedicated to connecting audiences to the entertainment they love, powering a better media future for all people. Gracenote is the content data business unit of Nielsen that powers innovative entertainment experiences for the worlds leading media companies. Our entertainment metadata and connected IDs deliver advanced content navigation and discovery to connect consumers to the content they love and discover new ones. Gracenotes industry-leading datasets cover TV programs, movies, sports, music and podcasts in 80 countries and 35 languages.Common identifiers Universally adopted by the worlds leading media companies to deliver powerful cross-media entertainment experiences. Machine driven, human validated best-in-class data and images fuel new search and discovery experiences across every screen. Gracenote's Data Organization is a dynamic and innovative group that is essential in delivering business outcomes through data, insights, predictive & prescriptive analytics. An extremely motivated team that values creativity, experimentation through continuous learning in an agile and collaborative manner. From designing, developing and maintaining data architecture that satisfies our business goals to managing data governance and region-specific regulations, the data team oversees the whole data lifecycle. Role Overview: We are seeking an experienced Senior Data Engineer with 10-12 years of experience to join our Video engineering team with Gracenote - a NielsenIQ Company. In this role, you will design, build, and maintain our data processing systems and pipelines. You will work closely with Product managers, Architects, analysts, and other stakeholders to ensure data is accessible, reliable, and optimized for Business, analytical and operational needs. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes Architect and implement data warehousing solutions and data lakes Optimize data flow and collection for cross-functional teams Build infrastructure required for optimal extraction, transformation, and loading of data Ensure data quality, reliability, and integrity across all data systems Collaborate with data scientists and analysts to help implement models and algorithms Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc. Create and maintain comprehensive technical documentation Mentor junior engineers and provide technical leadership Evaluate and integrate new data management technologies and tools Implement Optimization strategies to enable and maintain sub second latency. Oversee Data infrastructure to ensure robust deployment and monitoring of the pipelines and processes. Stay ahead of emerging trends in Data, cloud, integrating new research into practical applications. Mentor and grow a team of junior data engineers. Required qualification and Skills: Expert-level proficiency in Python, SQL, and big data tools (Spark, Kafka, Airflow). Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred Expert knowledge of SQL and experience with relational databases (e.g., PostgreSQL, Redshift, TIDB, MySQL, Oracle, Teradata) Extensive experience with big data technologies (e.g., Hadoop, Spark, Hive, Flink) Proficiency in at least one programming language such as Python, Java, or Scala Experience with data modeling, data warehousing, and building ETL pipelines Strong knowledge of data pipeline and workflow management tools (e.g., Airflow, Luigi, NiFi) Experience with cloud platforms (AWS, Azure, or GCP) and their data services. AWS Preferred Hands on Experience with building streaming pipelines with flink, Kafka, Kinesis. Flink Preferred. Understanding of data governance and data security principles Experience with version control systems (e.g., Git) and CI/CD practices Proven leadership skills in grooming data engineering teams. Preferred Skills Experience with containerization and orchestration tools (Docker, Kubernetes) Basic knowledge of machine learning workflows and MLOps Experience with NoSQL databases (MongoDB, Cassandra, etc.) Familiarity with data visualization tools (Tableau, Power BI, etc.) Experience with real-time data processing Knowledge of data governance frameworks and compliance requirements (GDPR, CCPA, etc.) Experience with infrastructure-as-code tools (Terraform, CloudFormation)Role & responsibilities
Purpose: You join the stream team, an experienced, informal and enthusiastic scrum team of 5 developers, working on stream-processing components to improve our data publication platform. This team is responsible for combining different sources of Sports data from all over the world into a single unified product, all in real-time. Part of the job is that you work together with international teams of developers located in Gracenote offices around the world. Job Requirements: Has experience with Scala, or other JVM languages with the capability to learn Scala Understands Stream-processing (preferably with Kafka Streams and/or Akka Streams) Is comfortable in a DevOps culture, and knows how to get their work into production. Has relevant work experience with both NoSQL (MongoDB) and SQL databases (Postgres, SQL Server) Has affinity with data and data streams. Has experience working in an Agile environment. Has good communication skills and is able to share their knowledge with the team. Has good knowledge of the English language, both spoken and written. Good to have skills: Have an affinity with sports, active or passive Understand schemas and like data modelling Are used to working with the scrum framework Have experience with other programming languages (some other languages we use are Python, Typescript and jsJava) Qualifications: B.E / B.Tech / BCA/ MCA in Computer Science, Engineering or a related subject. Strong Computer Science fundamentals. Comfortable with version control systems such as git. A thirst for learning new Tech and keeping up with industry advances. Excellent communication and knowledge-sharing skills. Comfortable working with technical and non-technical teams. Strong debugging skills. Comfortable providing and receiving code review feedback. A positive attitude, adaptability, enthusiasm, and a growth mindset.Role & responsibilities: Outline the day-to-day responsibilities for this role.
Whats On India Media Pvt. Ltd is looking for Senior Engineering Manager- Data Engineer (M2) to join our dynamic team and embark on a rewarding career journey Design, develop, and maintain data infrastructure, databases, and data pipelinesDevelop and implement ETL processes to extract, transform, and load data from various sources Ensure data accuracy, quality, and accessibility, and resolve data-related issues Collaborate with data analysts, data scientists, and other stakeholders to understand data needs and requirements Develop and maintain data models and data dictionaries Design and implement data warehousing solutions to enable efficient and effective data analysis and reportingImplement and manage data security and access controls to protect data privacy and confidentiality Strong understanding of data architecture, data modeling, ETL processes, and data warehousingExcellent communication and collaboration skills Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.
Job Description Position Overview We are seeking an entry level Integration Functional Consultant with 1-2 years of experience and a background in MBA-HR. The ideal candidate will bridge the gap between business and technology, ensuring seamless integration of enterprise systems, applications, and processes to deliver measurable business value. Key Responsibilities Act as the functional consultant for system integration projects across HR systems. Collaborate with business stakeholders to analyze requirements, document processes, and identify integration needs. Translate business requirements into functional specifications for technical teams. Work closely with developers, and consultants to ensure successful design, configuration, and deployment of integrations. Conduct functional testing, user acceptance testing (UAT), and end-to-end validation of integrations. Provide expertise on data mapping, transformation, and workflow alignment between systems. Support change management by communicating functional benefits of integration solutions to business leaders. Prepare business cases, ROI analysis, and presentations for leadership using MBA-driven analytical and strategic frameworks.Qualifications MBA in Human Resource/Information Systems & 1-2 years of working experience. Bachelor s degree in Computer Science, Engineering, or related field (preferred). SuccessFactors Integration Center, etc.). Strong knowledge of ERP, HR, Finance, or CRM systems and their integration patterns. Good understanding of business processes and ability to align them with technical solutions. Strong analytical, problem-solving, and stakeholder management skills.
Job Description Were looking for an enthusiastic and driven Graduate Associate /Analyst to join our Enterprise Systems Team within the Global Capability Center (GCC). This is an entry-level position designed for recent graduates who are eager to launch a career in enterprise resource planning (ERP) technologies. The successful candidate will primarily focus on development and support activities using SAP ABAP and modern user experience (UX) solutions with SAP Fiori. This role offers a unique opportunity to gain hands-on experience in a global setting, working on mission-critical business processes and cutting-edge SAP technologies. Key Responsibilities: SAP Development: Assist in the design, development, testing, and deployment of custom solutions using SAP ABAP (including reports, enhancements, interfaces, forms, and conversions - RICEF). User Experience (UX): Support the development and maintenance of intuitive, modern user interfaces using SAP Fiori/UI5 to enhance user productivity and experience across various business functions. System Support: Provide first-level support, troubleshooting, and resolution of issues related to custom and standard SAP functionality. Documentation: Create and maintain technical documentation, including specifications, test scripts, and system operation guides. Collaboration: Work closely with senior developers, functional consultants, business analysts, and global stakeholders to understand requirements and deliver high-quality solutions. Learning & Growth: Actively participate in training programs and continuous self-learning to quickly develop expertise in SAP technologies and enterprise business processes.Qualifications Education: Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field. Technical Aptitude: Demonstrable foundational understanding or coursework/project experience in programming concepts, relational databases, and software development lifecycle (SDLC). Communication Skills: Excellent verbal and written communication skills with the ability to articulate technical concepts clearly and concisely. Problem-Solving: Strong analytical and problem-solving abilities with a keen attention to detail. Teamwork: Ability to collaborate effectively in a team-oriented environment. Attention to Detail: Meticulous and organized in handling tasks and documentation. Work Ethic: Highly motivated, proactive, and a strong desire to learn complex enterprise systems and technologies. Preferred Basic knowledge or exposure to SAP concepts, architecture, or ERP systems. Coursework or projects involving object-oriented programming (e.g., Java, Python, C++, or ABAP). Familiarity with web development technologies (HTML5, CSS, JavaScript) is a significant plus for Fiori development. Why join Nielsen Global Capability Center: Global Exposure: Work on projects that impact business units worldwide, giving you international experience from day one. Structured Mentorship: Benefit from a structured mentorship program and continuous learning opportunities to accelerate your career growth. Cutting-Edge Technology: Get hands-on experience with the latest SAP innovations, including S/4HANA and modern UX/Fiori development. Career Path: Clear paths for advancement into roles like SAP Developer, Fiori Specialist, or Technical Consultant.
Whats On India Media Pvt. Ltd is looking for Lead AI / ML Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.
Whats On India Media Pvt. Ltd is looking for Senior AI / ML Engineer I to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.
Job Description Were looking for an enthusiastic and driven Graduate Associate /Analyst to join our Enterprise Systems Team within the Global Capability Center (GCC). This is an entry-level position designed for recent graduates who are eager to launch a career in enterprise resource planning (ERP) technologies. The successful candidate will primarily focus on development and support activities using SAP ABAP and modern user experience (UX) solutions with SAP Fiori. This role offers a unique opportunity to gain hands-on experience in a global setting, working on mission-critical business processes and cutting-edge SAP technologies. Key Responsibilities: SAP Development: Assist in the design, development, testing, and deployment of custom solutions using SAP ABAP (including reports, enhancements, interfaces, forms, and conversions - RICEF). User Experience (UX): Support the development and maintenance of intuitive, modern user interfaces using SAP Fiori/UI5 to enhance user productivity and experience across various business functions. System Support: Provide first-level support, troubleshooting, and resolution of issues related to custom and standard SAP functionality. Documentation: Create and maintain technical documentation, including specifications, test scripts, and system operation guides. Collaboration: Work closely with senior developers, functional consultants, business analysts, and global stakeholders to understand requirements and deliver high-quality solutions. Learning & Growth: Actively participate in training programs and continuous self-learning to quickly develop expertise in SAP technologies and enterprise business processes. Why join Nielsen Global Capability Center: Global Exposure: Work on projects that impact business units worldwide, giving you international experience from day one. Structured Mentorship: Benefit from a structured mentorship program and continuous learning opportunities to accelerate your career growth. Cutting-Edge Technology: Get hands-on experience with the latest SAP innovations, including S/4HANA and modern UX/Fiori development. Career Path: Clear paths for advancement into roles like SAP Developer, Fiori Specialist, or Technical Consultant.Qualifications Education: Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field. Technical Aptitude: Demonstrable foundational understanding or coursework/project experience in programming concepts, relational databases, and software development lifecycle (SDLC). Communication Skills: Excellent verbal and written communication skills with the ability to articulate technical concepts clearly and concisely. Problem-Solving: Strong analytical and problem-solving abilities with a keen attention to detail. Teamwork: Ability to collaborate effectively in a team-oriented environment. Attention to Detail: Meticulous and organized in handling tasks and documentation. Work Ethic: Highly motivated, proactive, and a strong desire to learn complex enterprise systems and technologies. Preferred Basic knowledge or exposure to SAP concepts, architecture, or ERP systems. Coursework or projects involving object-oriented programming (e.g., Java, Python, C++, or ABAP). Familiarity with web development technologies (HTML5, CSS, JavaScript) is a significant plus for Fiori development.
Job Description We are in search of an experienced SAP ABAP HR Developer who will be designing, developing, and customizing SAP HR modules (like Personnel Administration, Payroll, Time Management, and Organizational Management) using ABAP programming. Key responsibilities include creating technical specifications, writing and debugging ABAP programs, developing HR workflows, working with IDocs, integrating HR with other SAP modules and SuccessFactors, and providing post-implementation support. Collaboration with functional teams and adherence to best practices and coding standards are also essential, with experience in OData and CDS Views is preferred. Responsibilities: Development & Customization: Design, develop, and customize SAP HR programs and applications using the ABAP programming language. HR Module Expertise: Work extensively with SAP HR modules, including Personnel Administration, Payroll, Time Management, and Organizational Management. Technical Design & Documentation: Create technical specifications for complex developments and maintain clear, up-to-date technical documentation. Testing & Debugging: Perform unit testing and integration testing, as well as debug and troubleshoot issues in existing applications to ensure they meet business requirements. Enhancements & Workflows: Develop and enhance HR workflows, ABAP objects, and other applications based on business needs. Integration: Develop and troubleshoot IDoc (inbound and outbound) processing for smooth data exchange between SAP and external systems. Collaboration: Work closely with functional teams (e.g., SD, MM, FI) and Subject Matter Experts (SMEs) to understand requirements and deliver effective technical solutions. Code Reviews & Standards: Participate in code reviews and ensure all code adheres to development best practices and industry standards. Support & Maintenance: Provide post-implementation support and maintenance for ABAP applications, assist with change requests, and resolve production issues. Qualifications Experience: A minimum of 5 years of experience in SAP ABAP development. Core ABAP: Strong hands-on experience in Core ABAP programming. HR Module Knowledge: In-depth business process and functional knowledge of SAP HR modules. Technical Tools: Proficiency with key technologies like Smartforms, Adobe Forms, HRFORMS, BDC, RFC, Module Pool, and OOP. Preferred Skills: Experience with OData and CDS Views, SAP HANA, and SAP Fiori is often a plus. SuccessFactors: Experience with SuccessFactors is highly valued, particularly for modern HR implementations. Soft Skills: Excellent communication, organizational, and problem-solving skills.
Job Description A Senior Analyst focuses specifically on the configuration, maintenance, and optimization of the organizations Workforce Software (WFM) system. They bridge the gap between IT and Operations, ensuring the software accurately models business rules and delivers actionable data for scheduling and forecasting. The Workforce Software Senior Analyst is the subject matter expert responsible for the technical administration, configuration, and data integrity of the Workforce Software (WFM) system. This role ensures the WFM platform accurately reflects business logic, supports efficient staffing and scheduling, and provides reliable data for operational and financial analysis. Responsibilities: WFM System Administration & Configuration. System Configuration: Maintain and update core WFM system settings, including organizational structure, employee profiles, time-off policies, pay rules, shift rotations, and scheduling rules. Data Integrity: Ensure the accuracy of data integrations between the WFM system and upstream HR/Payroll systems (e.g., SAP, etc.). Troubleshoot and resolve data flow errors. User Management: Manage user access, roles, and permissions within the WFM application. System Upgrades & Testing: Participate in testing and validation for WFM system upgrades, patches, and feature rollouts to ensure seamless performance and compliance. Optimization & Analysis Rule Engine Optimization: Analyze current scheduling models and configuration settings to identify opportunities for improved forecasting accuracy, adherence, and efficiency. Business Requirements: Translate complex business requirements (e.g., new labor agreements, regulatory changes) into functional specifications and configure them within the WFM platform. Reporting & Dashboards: Develop, modify, and manage custom reports and dashboards within the WFM system to provide operational leaders with visibility into key metrics (e.g., compliance, productivity, utilization). Support & Collaboration Technical Support: Serve as the Tier 2 or Tier 3 technical contact for WFM system issues, diagnosing problems related to time clocks, badge readers, scheduling logic, and application errors. Training & Documentation: Create and deliver training materials and support documentation for end-users, WFM schedulers, and new administrators. Cross-Functional Liaison: Collaborate closely with IT, HRIS, Payroll, and Operations teams to ensure system alignment with organizational policies and technical infrastructure.Qualifications Any Graduate 3-4 years of hands-on experience administering, configuring, or supporting a major Workforce Software platform. Strong technical aptitude for system logic, relational databases, and data interfaces. Proficiency in Advanced Excel for data analysis and validation. Preferred Skills : Knowledge of time and attendance, payroll processing, and labor law compliance as it relates to system configuration. Excellent problem-solving skills and the ability to work collaboratively with both technical and non-technical stakeholders.
Job Description Roles and Responsibilities Drive vision and roadmap of Gracenote s data delivery platform and tools that delivers millions of pieces of TV Entertainment data to clients and partners daily. This data powers the TV entertainment solutions for the top cable, OTT, CE, and digital clients worldwide used by hundreds of millions of consumers. Partner and collaborate with other product, business and engineering leaders and other internal stakeholders to ensure strong execution in a fast-moving environment Drive client/partner interactions to understand business problems associated with delivering and ingesting TV entertainment data into their backend solutions. Mould that into a clear product vision and roadmap that delivers a world-class data delivery platform. Become the SME to identify scalable solutions to deliver new products and enhance existing products that allow clients to easily integrate Gracenote metadata into their systems. Translate the product roadmap into well-defined user stories, epics, and acceptance criteria for the engineering team, ensuring clarity and focus for each sprint. Skillfully prioritize the product backlog, making data-informed trade-off decisions to maximize value delivery and align with strategic business goals. Work closely with UX and engineering to deliver not only the platform but also the critical tools for configuration and analytics to make the platform an overall success. Desired Skills & Experience Bachelor s degree with a product management focus or equivalent experience 5+ years of Product Management experience Experience working with clients and the rest of the product and business org to understand their business problems and the vision for their next-generation solutions. This includes onsite visits and giving presentations on your product direction. Strong presentation and product pitch skills. Previous experience pitching clients including senior leadership at these companies. Ability to methodically gather multiple potentially conflicting priorities and business problems from clients, internal stakeholders, and partners. Use these as inputs to create a clear product vision, strategy, and roadmap that delivers a world-class solution. Understanding of core business financials, and the impact of these on Product Lifecycle Data-driven with an analytical mindset and the ability to work your way through ambiguous situations Strong conceptual understanding of building scalable data platforms Self-starter that can work collaboratively in a cross-functional team environment across multiple time zones Excellent written and verbal communication skills to effectively communicate delivery strategy, new enhancements, and best practices around data delivery to technical and non-technical audiences.Qualifications Experience in OTT, TV broadcast, or supporting customers who develop products for digital content consumption. Demonstrated success in building B2B products, iterating based on customer feedback, and scaling them to global markets.
Job Description The Senior Product Manager (SPM) at Nielsen is an essential catalyst for innovation within the audience measurement landscape. In this role you will oversee critical elements of the product lifecycle executing the product vision and leading cross-functional teams to deliver products that delight our customers. Key Responsibilities Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth Create buy-in for the product vision both internally and with key external partners Translate product strategy into detailed requirements and prototypes Scope and prioritize activities based on business and customer impact Work closely with Data Science and engineering teams to deliver with quick time-to-market and optimal resources Work with high profile customers to ensure they understand the methodologies used to build and deliver Nielsen products Partner with Product Marketing to design go-to-market plans that highlight the value our products deliver Maintaining a prioritized backlog that aligns with available Engineering capacity and maps to an overall solution roadmap. Act as a product evangelist to build awareness and understanding of Nielsen products to internal stakeholders Set and track ROI goals for each product, ensuring they deliver value and align with broader business objectives Track and enforce contractual commitments to inform product roadmap and prioritizationQualifications 4-6 years experience in product management or a similar discipline in a SaaS or DaaS environment Additional certifications in Product Management, Agile methodologies, or related areas can be advantageous Knowledge of project and product management tools like Jira and Aha A bachelors or masters degree in Computer Science, Data Science, or a related field is preferred Familiarity with complex data methodologies to combine data assets into products Experience in writing technical specifications and technology requirements Experience with big data analytics and data flows Strong time management skills Excellent written and verbal communication skills along with the ability to present effectively to upper management A customer-first approach by anchoring and solving customer problems rapidly, aligning data-driven decisions with customer needs
Job Description We are seeking a highly motivated and passionate IT Trainee to join our dynamic and growing technology team. This entry-level position is ideal for a recent graduate who has a foundational understanding of information technology and is eager to apply their academic knowledge in a real-world, professional setting. The IT Trainee will be an integral part of our team, providing technical support, assisting with IT projects, and contributing to the overall efficiency of our technological infrastructure. Key Responsibilities Technical Support: Provide first-line technical support to end-users, troubleshooting and resolving basic software issues. Problem Resolution: Document and track support tickets, escalating complex issues to senior IT staff as needed. Project Assistance: Support ongoing IT projects, which may include software rollouts, system upgrades, or network infrastructure improvements. Documentation: Maintain records of test documents, approvals, procedures, and support activities. Collaboration: Work collaboratively with team members and other departments to ensure smooth operations and a positive user experience. Continuous Learning: Actively participate in training sessions and self-learning to stay updated on new technologies and best practices.Qualifications Education Bachelors Degree in Computer Science, Information Technology, Computer Engineering, or a related field. Technical Skills Basic understanding of operating systems (e.g., Windows, Linux, macOS). Proficiency in Microsoft Office Suite or similar productivity tools. Soft Skills Problem-Solving: Strong analytical and troubleshooting skills with a logical approach to resolving issues. Communication: Excellent verbal and written communication skills to interact with both technical and non-technical staff. Teamwork: Ability to collaborate effectively in a team-oriented environment. Eagerness to Learn: A proactive and curious mindset with a strong desire to learn new technologies and skills. Attention to Detail: Meticulous and organized in handling tasks and documentation.
Job Description JOB SUMMARY In this position, you contribute to the successful implementation of our software solutions for advertisers, media owners and media agencies. Our solutions help these companies in making decisions around their marketing communication budgets. Based upon research data combined with analytical and econometric approaches our solutions answer questions like "What budget is needed to generate an increase of 10% in brand preferenceWhat media mix contributes the most to the revenue" You will be working in (small) teams on the design, execution, implementation and operational management of projects. This involves analyzing data, setting up surveys, designing a good way to integrate data (survey data, modeling and industry knowledge) into our software tools and maintaining contact with clients both internal and external. In your role, you will act as a liaison between various parts of our business: analytics, data processing and software development, and have a chance to be involved in the entire project from client request and solution design to tool delivery and training.Qualifications ROLES & RESPONSIBILITIES Contribute to software solution implementation: Participate in the successful execution of software solutions for advertisers, media owners, and media agencies. Analyze data and set up surveys: Analyze data, create surveys, and integrate various data types into software tools. Project participation: Engage in all phases of projects, including design, execution, implementation, and operational management. Client liaison: Act as a bridge between analytics, data processing, and software development teams, maintaining contact with clients. ETL pipeline management: Implement and refactor ETL pipelines using tools like Apache Airflow. Technical problem-solving: Reverse engineer and troubleshoot issues end-to-end. AWS utilization: Work with Amazon Web Services (e.g., Athena). Tool usage: Use Jira, Git, Confluence, and Google Suite for project management and collaboration. Communication: Communicate effectively, both orally and in writing, with internal teams and external clients. Project prioritization: Manage and prioritize multiple projects/tasks. Perform regular updates and maintenance on the website. Identify and execute solutions to continually improve website performance and functionality. Implement security best practices to mitigate risks and protect Nielsen.com from vulnerabilities. QUALIFICATIONS Bachelors of Technology in Computer Science (preferred) with 5-7 years of experience. Experience working in geographically distributed teams. Affinity with data, software and quantitative techniques. Ability to reverse engineer & trouble shoot issues end to end. Experience in implementing and refactoring ETL pipelines (e.g. Apache Airflow). Analytical thinking combined with good social and communication skills. Experience using common scripting languages (e.g., Python). Experience working with Amazon Web Services (e.g. Athena).
Job Description Client-facing, liaison between Sales and Operations colleagues, managing client projects and internally coordinating with diverse media services to deliver clients solutions Specific Skills & Experience required: Excellent spoken and written communication skills in German language, and proven successful experience in a client facing role Proven successful experience as an Analyst or Senior Analyst, delivering complex client analytical projects, using project management platforms and managing diverse stakeholders Proven successful experience of handling and managing projects end-to-end. High level of competence using Business Intelligence tools/platforms, especially Microsoft s PowerBI Good experience in creating client facing presentations. Multiple years experience using Python and SQL to extract and manipulate data from a variety of sources Bachelors degree or equivalent in a subject where both extensive written and verbal communication skills and advanced mathematical analytical skills are key Strong understanding of the global media ecosystem, how it is measured, and how advertisers and media platforms interactQualifications Building trust and long-term relationships with defined clients Develop an understanding of our clients challenges and needs, and the solutions that help them achieve their business objectives. Being an expert in Nielsen Sports tools and the product portfolio. Youll continuously expand your knowledge of our clients, the sports business landscape, and the media and advertising industry to provide the most effective solutions to our clients. Use existing project planning tools, such as ROSCO, project management and capacity planning tools (Monday.com), to implement and track your own projects. Youll manage simple to medium projects and work under guidance on complex projects, and provide scope, cost calculations, and feasibility checks for simple to medium projects. Working closely with all media operations teams at Nielsen Sports, relaying information to the appropriate team to align client projects and meet service-level agreements. Youll also collaborate on projects with other Solutions groups, where applicable. Contributing to the continuous improvement of our services and products by adopting and implementing automation of our processes and services. Youll also be responsible for the profitability of your projects, ensuring that they meet or exceed budget expectations. Independently analysing information and presenting to clients with experienced team members. Youll be able to analyse data and turn the results into compelling stories that deliver meaningful insights and added value to our clients. Working closely with all media operations teams at Nielsen Sports, relaying information to the appropriate team to align client projects and meet service-level agreements. Youll also collaborate on projects with other Solutions groups, where applicable. Contributing to the continuous improvement of our services and products by adopting and implementing automation of our processes and services. Youll also be responsible for the profitability of your projects, ensuring that they meet or exceed budget expectations. Independently analysing information and presenting to clients with experienced team members. Youll be able to analyse data and turn the results into compelling stories that deliver meaningful insights and added value to our clients.
Job Description Data Analysis and Reporting: Youll lead complex data analysis projects, leveraging SQL and Python to extract, manipulate, and analyze large datasets. Youll be responsible for developing and automating reports and dashboards that provide key insights to clients and stakeholders. Data Engineering and Solutions: Youll use your engineering skills to design, build, and maintain data pipelines. This includes cleaning, transforming, and ingesting data to ensure it is accurate and ready for analysis. Youll also work on developing scalable data solutions that meet client requirements. Client and Stakeholder Management: Youll serve as a primary point of contact for clients, understanding their business challenges and providing expert guidance on how to leverage data. Strong communication and interpersonal skills are essential for presenting findings and collaborating with both technical and non-technical stakeholders.Qualifications 5+ years of experience in a data-focused role. Expert-level proficiency in SQL for data querying and manipulation. Advanced proficiency in Python for data analysis, scripting, and automation. Proven experience in data analytics, including statistical analysis and reporting. Experience with data modeling and building scalable data pipelines. Excellent communication and problem-solving skills, with the ability to work independently and as part of a team.
Job Description Stakeholder Collaboration: Work closely with Sales, Customer Support and related teams, in collaboration with the existing Salesforce delivery team, as well as IT, product development, and external vendors, to gather requirements, define project scopes, and ensure successful solution delivery. Alignment with Enterprise Strategy: Collaborate with the existing Salesforce delivery team to ensure the Salesforce data architecture incorporates the needed data sources to support insights for workflows; in alignment to the enterprise data architecture strategy, including SAP the data platform and other data sources Understanding Business Needs: Support the existing Salesforce delivery team as they analyze the requirements, workflows, and pain points of Sales, Customer Support and related teams, and identify areas for improvement; and translate them into clear, concise technical specifications, including functional requirements, user stories, and process flows. Ensure Business Alignment: Collaborate with the existing Salesforce delivery team as they act as the guardian of business requirements, ensuring that the technical team delivers solutions (including configurations and custom development) that solve business problems and are aligned with overall objectives. This includes validating solutions against the original requirements. Business Process Analysis: Understand Sales, and Customer Support business processes and requirements related to technology and associated solutions. Measuring Solution Effectiveness and Iteration: Establish metrics and feedback mechanisms to track the effectiveness of implemented technology solutions for Sales, and Customer Support, including successful implementation, improved efficiency, increased collaboration, and stakeholder satisfaction; continuously analyze data and adjust solutions to optimize their impact. Solution Design & Architecture: Support the existing Salesforce delivery team in the design and architecture of solutions that address the specific needs of Sales (e.g., CRM), while ensuring integration and alignment across these areas. This includes staying abreast of the Salesforce product roadmap and determining the implication on current functionality, including determining whether there is tech debt on the work list that gets complicated with new features. Commercial Support: Collaborate with the existing Salesforce delivery team to optimising the consumption model for salesforce commercially aligned to the data architecture Bridge the Communication Gap: Act as an "interpreter" between business and technical teams, facilitating meetings and discussions to ensure clear communication and minimize misunderstandings. Manage Expectations: Communicate the feasibility and timelines of technical solutions to the business, and convey business priorities to the technical team, preventing unrealistic expectations and keeping projects on track. Drive Automation: Identify opportunities for automation within Sales, and Customer Support processes to improve efficiency and productivity. Testing Strategy Development: Support the existing Salesforce delivery team as they develop a testing strategy for the end-to-end solutions, including unit testing, integration testing, user acceptance testing, and potentially performance testing. Define test cases, test data, and acceptance criteria. Operating Model for systems: Support the existing Salesforce delivery team as they create and implement a comprehensive operating model, defining roles, responsibilities, processes, and metrics to ensure effective systems management that aligns with the strategy. Prioritization: Evaluate the relative value of Sales, and Customer Support technology initiatives by evaluating against a set of developed criteria; and ensuring that potential conflicts in priorities with stakeholder groups are discussed, evaluated and agreed collaboratively with the existing Salesforce delivery team. Data Quality Management: Collaborate with relevant teams to define and monitor data quality metrics for Sales, and Customer Support systems, identify and address data quality issues, and implement data cleansing and enrichment initiatives. Data Security and Privacy: Support the existing Salesforce delivery team as they collaborate with the Privacy team to ensure compliance with data security and privacy regulations (e.g., GDPR, CCPA) for Sales, and Customer Support data, implement data access controls, and protect sensitive data. Change and Release Management: Support the existing Salesforce delivery team as they lead systems change and Release management initiatives for Sales, and Customer Support solutions, promoting awareness and adoption across the relevant teams in the organization. Continuous Learning & Development: Staying current with industry trends; knowledge sharing; professional development.Qualifications Education & Training (preferred or required degrees, academic and/or professional training, or certification) Bachelors degree in Computer Science, or a related field. This role is applicable across various industries, but experience in regulated industries (e.g., finance, healthcare) is a plus. Professional certifications in Salesforce are highly desirable. Fluency in English and local language mandatory Experience (preferred or required technical, functional and/or leadership experience) Excellent communication, collaboration, and stakeholder management skills. Ability to work effectively with cross-functional teams and influence stakeholders. High levels of energy, conscientiousness, rapport building, resiliency, inventiveness, and curiosity. 10+ years of experience in Systems, including a significant portion (e.g., 5+ years) as an Enterprise or Solution Architect or similar role, with a strong focus on Sales, and Customer Support systems and processes. 5+ years of experience in a leadership role, managing and mentoring teams. Functional and technical strategic thought leadership. Hands on experience with complex and large-scale Salesforce project implementations. Ability to see our portfolio with both a deep and broad perspective. Expert knowledge in all aspects of designing, developing, consulting, leading and managing broader Salesforce and related ecosystem initiatives. Strong project management skills, with experience in leading complex transformation projects. Experience in change management and user training for systems implementations. Excellent communication and stakeholder management skills, with the ability to bridge the gap between business and IT. Experience in working with global teams and managing diverse stakeholder groups. Experience in a regulated industry is a plus. Ability to evaluate and manage relationships with technology vendors, including understanding contractual terms, service-level agreements (SLAs), and negotiation skills.
Whats On India Media Pvt. Ltd is looking for Machine Learning Engr (MTS 4) to join our dynamic team and embark on a rewarding career journey. A Machine Learning Engineer is responsible for designing, building, and maintaining systems that use artificial intelligence (AI) and machine learning (ML) algorithms to solve complex problems. 1. Developing and implementing ML algorithms : The Machine Learning Engineer develops and implements machine learning algorithms to solve specific problems, such as natural language processing, computer vision, or predictive modeling. 2. Building data pipelines : The Machine Learning Engineer is responsible for building data pipelines that collect, store, and preprocess data used in machine learning algorithms. 3. Creating and maintaining ML infrastructure : The Machine Learning Engineer is responsible for creating and maintaining ML infrastructure, including hardware, software, and cloud platforms, that support the development and deployment of ML models. 4. Testing and validating ML models : The Machine Learning Engineer tests and validates ML models, ensuring that they are accurate, robust, and scalable. 5. Troubleshooting ML systems : The Machine Learning Engineer troubleshoots ML systems, identifying and resolving issues related to performance, accuracy, and scalability. 6. Deploying ML models : The Machine Learning Engineer deploys ML models in production environments, integrating them with other software systems and ensuring that they are reliable and scalable. Disclaimer : This job description has been sourced from a public domain and may have been modified by Naukri. com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.
Whats On India Media Pvt. Ltd is looking for AI / ML Engr II to join our dynamic team and embark on a rewarding career journey. Data Collection : Gather, preprocess, and clean data from various sources to create datasets suitable for training machine learning models. Feature Engineering : Select, extract, and engineer relevant features from data to improve model performance. Model Selection : Choose appropriate machine learning algorithms and models based on the problem at hand, such as regression, classification, clustering, or deep learning models. Model Training : Train machine learning models using historical data and employ techniques like supervised, unsupervised, and reinforcement learning. Hyperparameter Tuning : Optimize model performance by adjusting hyperparameters and fine - tuning the model to achieve the best results. Evaluation : Assess model performance using various metrics and techniques, such as cross - validation, ROC curves, and confusion matrices. Deployment : Deploy machine learning models into production systems, including web applications, mobile apps, or IoT devices. Continuous Improvement : Monitor model performance in real - world applications and retrain models as necessary to adapt to changing data patterns. Disclaimer : This job description has been sourced from a public domain and may have been modified by Naukri. com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.