Adobe—Senior Data Science & Insights Engineer

Job description

Description: The Opportunity Join Adobe in Noida, where advanced analytics and AI drive business decisions at scale. As a Science & Insights Engineer understanding customer , you will support Adobe's behaviour , and identifying opportunities for business growth. Working at the intersection of Data Science, Customer Analytics insights that drive business growth and customer outcomes. ------------------------------------------------------------------------------------------------------------------------ What You Will Do • Translate business questions into analysis, define data requirements, and develop roadmaps for open ended problems. • Guide Decision Science, AI, and advanced analytics in solution development, validate methodologies, and drive scalable business decisions. • Apply statistical modeling, hypothesis testing, A/B testing, experimentation, segmentation, forecasting, and behavioral analytics to produce dependable insights and business recommendations. • Build AI agents and decision intelligence solutions using LLMs, enterprise data, and domain expertise to drive business outcomes. • Collaborate with Product Managers, BI teams, Data Scientists, and engineering teams to deliver impactful analytics and AI experiences powered by advanced technology. • Mentor junior engineers and contribute to technical excellence, architecture discussions, and engineering guidelines. ------------------------------------------------------------------------------------------------------------------------- What You Need to Succeed • Bachelor’s or postgraduate degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or a related field. • 7+ years of experience in Applied AI, Data Science, Decision Science, Product Analytics, Business Analytics, Customer Analytics, Forecasting, or intelligent analytics platform development. • Experience in exploratory data analysis, experimentation, A/B testing, hypothesis validation, cohort analysis, funnel analysis, customer segmentation, forecasting, behavioral analytics, and customer lifecycle analytics. • Strong programming and analytical skills using Python, SQL, and modern data platforms for large scale data analysis. • Experience working with structured and unstructured datasets, including voice transcripts, chat conversations, customer interactions, and other textbased data sources. • Experience leveraging GenAI tools such as Claude, Copilot, or similar AI platforms to accelerate analysis and insight generation. • Experience developing reusable AI skills, workflows, or analytics solutions that enhance decision-making. • Strong datadriven approach with the ability to analyze complex datasets, derive insights, and translate them into actionable business improvements. • Proven ability to identify customer problems and translate insights into practical, scalable solutions. • Strong understanding of customer lifecycle metrics including acquisition, conversion, retention, renewal, migration, churn/cancellation, and revenue optimization. • Strong communication and storytelling skills with the ability to influence business decisions through data. • Demonstrated thought leadership in Decision Science, Analytics, and AI to drive scalable business impact. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience. Skills: python, sql, statistical modeling, data analysis, a/b testing, hypothesis testing, customer segmentation, forecasting, behavioral analytics, experimentation, cohort analysis, funnel analysis, customer lifecycle analytics, genai tools, ai agent development, decision intelligence, data platforms, voice data analysis, chat data analysis, text-based data analysis, mentoring, technical architecture, engineering guidelines, stakeholder collaboration, business insights, customer analytics, product analytics, business analytics, exploratory data analysis, storytelling