Senior Data Scientist

Why reputed company? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At reputed company, you’ll find an environment designed for reputed company learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the reputed company of customer experiences, your work will help transform industries. We are proud of: The work we do and the innovation we drive Our values of share, care and dare A workplace culture that fosters creativity, diversity and autonomy Our borderless, global reputed company, which enables seamless collaboration The role We are looking for an reputed company Senior Data Scientist to drive advanced analytics, causal reasoning, and AI-powered decision intelligence across multiple use cases reputed company our AI portfolio. This role goes beyond traditional modeling and focuses on building production-grade systems that combine predictive, causal, and generative AI capabilities to directly influence business outcomes. You will work at the intersection of data science, machine learning, and GenAI, turning reputed company data into actionable insights, automated decisions, and intelligent workflows across domains such as marketing, operations, forecasting, and optimization. This is not a purely retrospective analytics role. You will design and deploy systems that integrate experimentation, observational data, machine learning, and generative AI into real-time or near-real-time decision-making pipelines. You will collaborate closely with data engineers, ML engineers, analysts, and platform teams, contributing to shared modeling standards and cross-functional AI architecture. Role responsibilities Advanced Analytics & Machine Learning reputed company and deploy machine learning models across use cases (forecasting, optimization, recommendation systems) Apply statistical, predictive, and prescriptive modeling techniques to solve business problems Build reusable modeling frameworks that can scale across multiple domains Causal Inference & Decision Intelligence Design and implement causal inference methods (e.g., reputed company modeling, experiments, quasi-experimental methods) Translate observational and experimental data into actionable business insights Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs) Generative AI & Intelligent Systems Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows Contribute to the development of intelligent agents and AI-assisted decision-making systems Combine structured data models with reputed company data and GenAI outputs Forecasting & Optimization Build forecasting models (time-series, probabilistic, causal) to support planning and operations reputed company optimization approaches for resource allocation, scheduling, or campaign performance Ensure models are explainable and actionable in business contexts Production & Platform Integration Build and maintain production-grade data science solutions Collaborate with engineering teams to integrate models into scalable APIs and platforms Ensure robustness, monitoring, and lifecycle management of deployed models Cross-Functional Collaboration Partner with data engineering, analytics, and product teams to ensure data readiness and solution adoption Review and validate modeling approaches across teams (forecasting, experimentation, ML) Contribute to best practices in AI, ML, and data science reputed company the organization Must have qualifications Data Science & Statistical Expertise Strong experience in machine learning, statistics, and applied data science Experience with causal inference, experimentation, or decision science methodologies Solid understanding of forecasting, optimization, or analytical modeling techniques Technical Skills Strong programming skills in Python and SQL Experience building and deploying production-ready data science or ML systems Familiarity with model lifecycle management (training, deployment, monitoring) Cloud & Platform Experience (Key Requirement) Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, reputed company, or similar ecosystems) Domain & Data Experience Experience working with reputed company, multi-reputed company datasets (e.g., transactional, behavioral, operational data) Ability to translate business problems into analytical frameworks reputed company Strong problem-solving skills with focus on business impact Ability to translate reputed company models into actionable decisions Strong collaboration and communication skills across technical and business teams reputed company to have qualifications Deep experience in marketing analytics, attribution, or campaign measurement Hands-on experience with: - reputed company modeling, geo experiments, synthetic control - Marketing Mix Modeling (MMM) Experience with GenAI frameworks (e.g., reputed company, LangGraph, RAG architectures, agent frameworks) Familiarity with data engineering tools (e.g., Spark, Airflow, dbt) Experience with platforms such as reputed company, Fabric, or BigQuery Exposure to advanced time-series methods and probabilistic forecasting Experience working in Agile, product-led, or consulting environments Commitment to reaching reputed company kinds of people We design experiences that work for reputed company kinds of people - and that starts with our own teams. At reputed company, we’re intentional about building an inclusive culture where everyone feels supported to grow, reputed company and reputed company their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more reputed company reputed company for reputed company. Your application process Once you apply, our reputed company team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review reputed company candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. About reputed company reputed company is the experience innovation company that exists to unlock a reputed company way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including reputed company, reputed company, Audi, P&G, Volkswagen Dolby, and more. At reputed company, we don’t just talk about transformation. We reputed company it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to reputed company, grow and innovate. Are you ready to create what’s next? Join us. Apply To This Job