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Posted May 26, 2026

Experienced Full Stack Data Scientist – Voice of the Customer Analytics and Innovation

At careerzynith, we're on a mission to revolutionize the way we listen to our customers and drive business growth through data-driven insights. As a Senior Statistics Architect, you'll play a critical role in transforming our Voice of the Customer (VOC) methodology, leveraging cutting-edge technologies and innovative approaches to deliver exceptional customer experiences. **Join the careerzynith Crew and Shape the Future of Customer Engagement** With over 5 million surveys received from clients each year across consumer, business, and service provider segments, our Customer Listening Team is responsible for implementing the Stop-to-Give-Up Voice of the Customer technique. This involves designing and programming customer satisfaction surveys, including 40+ studies translated into over 10 languages and deployed in more than 20 countries. As a Senior Statistics Architect, you'll work closely with product and process owners, Qualtrics specialists, and the Agile team in Technology to drive innovation and transformation. **Key Responsibilities:** * Collaborate with utility teams to outline, design, and capture business needs, ensuring seamless integration with our Cornerstone Large Data Platform. * Develop and leverage knowledge of Voice of the Customer methods to inform and transform data within the Cornerstone platform. * Design and build robust data model architecture to facilitate efficient data processing and standardized metric definitions. * Deliver high-quality and accurate analytical insights leveraging transformational technologies (Hadoop, HDFS, MapReduce, Hive, Spark, and Python) to drive innovative solutions. * Provide guidance to enhance competencies and drive efficiency in computing programs using massive data ecosystems. * Power customer story evaluation and elaboration, design and development of software programs, testing, and builds automation tools. * Proactively identify and automate repetitive tasks to improve productivity and efficiency. * Work closely with colleagues from GSN and AET to prioritize, define, increase, and review statistics for various use cases as part of the VOC Stop-to-Give-Up technique. **Essential Qualifications:** * Hands-on experience with Hive/Hadoop, Pyspark, Python, shell scripting languages, development life cycle management, and troubleshooting understanding for data-driven tasks for a span of no less than 3+ years. * Strong collaboration skills with product managers and stakeholders to translate functional requirements into technical deliverables. * Familiarity with Agile methodologies, where small increments of a product are introduced at regular intervals to business groups. * Experience with data modeling, data warehousing, and business intelligence tools. **Preferred Qualifications:** * Master's degree in Computer Science, Statistics, or a related field. * Experience with cloud-based data platforms, such as Amazon Web Services (AWS) or Microsoft Azure. * Knowledge of machine learning algorithms and their applications in data analysis. * Certification in data science, data engineering, or a related field. **careerzynith Culture and Benefits:** At careerzynith, we prioritize our colleagues' and their loved ones' holistic well-being, offering a range of benefits to support their physical, financial, and intellectual health throughout their career journey. Our competitive base salaries, bonus incentives, and flexible work arrangements ensure a healthy work-life balance. We also offer generous paid parental leave policies, free access to international on-site wellness facilities, and confidential counseling services through our Wholesome Minds application. **Career Growth and Education Opportunities:** careerzynith is committed to supporting your professional development and growth. We offer a range of training programs, mentorship opportunities, and education assistance to help you advance your career and stay up-to-date with industry trends. **How to Apply:** If you're a motivated and experienced data scientist looking to join a dynamic team and shape the future of customer engagement, apply now to become a part of the careerzynith crew.