Engagement Lead - Data Science

Roche; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

A Roche India – Roche Services & Solutions procura um líder de Data Science para conduzir duas subáreas focadas em Preditivo & Otimização e Causal AI & Experimentação. Você liderará ~7 cientistas de dados, revisará modelos e código, e transformará perguntas de negócio em soluções quantificáveis.

O papel exige visão estratégica, comunicação eficaz e entrega de valor. Esta posição é baseada em Hyderabad, com foco em impacto comercial, conformidade ética e colaboração com equipes globais em um

Qualifications

• Experiência de 10+ anos em Data Science/Analytics, com liderança de equipes.
• Prova de impacto de modelos preditivos e inferência causal em ambientes comerciais.
• Fortes habilidades em validação de modelos, explainability e avaliação de métricas.

Responsibilities

• Liderar duas subáreas de data science: Preditivo & Otimização e Causal AI & Experimentação.
• Conduzir design de experimentos, A/B tests e métodos econométricos.
• Revisar modelos, código e entregar resultados com impacto comercial mensurável.
• Comunicar insights a stakeholders técnicos e não técnicos; orientar decisões orçamentárias.

Skills

Liderança em Data Science

Modelos preditivos

Inferência causal

Python

SQL

Spark

Compreensão de Marketing Mix

Education

Bacharelado/Mestrado em Data Science ou área quantitativa

Tools

Spark

Tableau

Job description

Engagement Lead - Data Science### Engagement Lead - Data ScienceCandidatar-se: Hyderabad: Chennai: Tempo integral: Publicado hoje: Data de término: 27 de novembro de 2026 (14 dias restantes para se candidatar): 202611-128974Na Roche, você pode-se apresentar como você mesmo, abraçado pelas qualidades únicas que traz. Nossa cultura incentiva a expressão pessoal, o diálogo aberto e as conexões genuínas, onde você é valorizado e respeitado por quem você é, e permitindo que você prospere tanto pessoal como profissionalmente. É assim que pretendemos prevenir, deter e curar doenças e garantir que todos tenham acesso aos cuidados de saúde hoje e nas gerações futuras. Junte-se à Roche, onde cada voz é importante.### A posição**Engagement Lead** - **Data Scientist****Roche India – Roche Services & Solutions****Hyderabad** A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Roche has established the Global Analytics and Technology Center of Excellence (GATE) as part of Roche Services & Solutions (RSS) India to drive analytics and technology-driven solutions by partnering with Roche affiliates across the globe. RSS is a global division operating in an agile organizational setup without extensive hierarchical structure, where all our employees lead from every seat, and inspirational leadership, and an entrepreneurial customer-centric mindset are our core values. **Your Opportunity** As **Engagement Lead**, you will lead two data science sub-streams supporting commercial teams: **Predictive AI & Optimization** and **Causal AI & Experimentation**. You will own the technical direction and delivery of both. You will work directly with product owners to turn business questions into predictive, causal and optimization solutions, and you will grow a team of about 7 data scientists. **This is a hands-on leadership role.** You will review models and code, unblock the team quickly, and be accountable for the quality and business impact of everything the two sub-streams deliver. **Key Responsibilities:*** **Lead, mentor and develop Senior Data Scientists and Data Scientists across both sub-streams. Build technical depth, modular coding standards and agile delivery habits*** **Lead the design, calibration and validation of Bayesian and frequentist Marketing Mix Models (MMM). Models should account for adstock, saturation, seasonality and hierarchical or geo-level effects*** Oversee multi-touch attribution (MTA) and brand performance analytics. Translate the results into practical recommendations on channel mix and spend* Design and govern experiments, including A/B tests, quasi-experimental designs (e.g., difference-in-differences, synthetic control) and econometric analysis, to measure the true impact of commercial initiatives* Oversee the design and delivery of predictive models for commercial use cases. This includes classification on highly imbalanced data, anomaly detection, segmentation and time-series forecasting* Turn predictions into decisions through optimization: budget and resource allocation, response curves, ROI/mROI analysis and scenario-planning simulations* Rapid Prototyping & Business Value: Quickly design and build proofs of concept, prototypes and business case studies, including GenAI- and agent-based solutions **where they add value**, to show tangible impact* Set the methodological standards for each sub-stream. Decide which approaches are suitable for a given problem, and explain why others are not* Stay close to the work: review model designs, validation results and critical code, and resolve technical blockers quickly* Present findings and trade-offs clearly to both technical and non-technical audiences, so that complex model results lead to confident decisions* Work with global cross-functional teams in an agile environment, including demos, reviews and retrospectives to keep improving deliverables* Ensure reproducibility, documentation and peer review across all models delivered **Who You Are** You are an accomplished data science leader with deep expertise in both predictive modelling and causal inference. You know when a problem needs a prediction, when it needs a causal estimate, and when it needs an optimization layer on top. You lead by example, stay close to the code, and can explain complex model outputs, from an MMM posterior to a SHAP plot, in clear business terms that product owners can act on. **Education & Certification:** * **Educational Background:** Bachelor's or Master's degree in Data Science, Statistics, Economics, Artificial Intelligence and Machine Learning, Computer Science, Business Analytics or another quantitative field.* **Certifications:** Recognized professional certifications in Data Science, Machine Learning, Cloud AI Platforms or Advanced Analytics are an advantage. **Qualifications & Technical Skillset:** * **10+ years of experience in Data Science/Analytics, including at least 3 years leading data science teams and mentoring data scientists. You should have a proven track record of measurable business impact through predictive modelling and causal inference or experimentation, ideally in commercial or marketing analytics.*** Strong hands-on expertise in predictive modelling, including classification on skewed data with imbalance handling (e.g., SMOTE, class weighting), ensemble and tree-based models (LightGBM, XGBoost, CatBoost), linear models, anomaly detection, unsupervised methods (clustering, segmentation) and time-series forecasting (e.g., ARIMA, Prophet).* Rigorous model validation and explainability, including SHAP and precision-recall and calibration methods for imbalanced problems.* Deep expertise in causal inference and experimentation, including experimental design, A/B testing, quasi-experimental methods and econometrics.* Hands-on experience building Marketing Mix Models and multi-touch attribution models (regression-based, time-decay, Markov-chain and Shapley-value methods), using frameworks such as Google Meridian, PyMC-Marketing, Meta Robyn, LightweightMMM, Orbit, PyMC or Stan. This includes model diagnostics (convergence, priors, posterior predictive checks) and turning outputs into budget optimization, response curves and scenario simulations.* Expert proficiency in Python and SQL, with strong experience in Spark (distributed computing), Airflow, Git, AWS, and Tableau or an equivalent tool for visualization and storytelling.* Exposure to and recent experience with GenAI tools and LLMs (e.g., OpenAI, Claude, Gemini, DeepSeek) and coding assistants such as GitHub Copilot, plus experience of building AI agents using frameworks such as LangChain, LangGraph, AutoGen or CrewAI.***Note: This job description is intended as a general guideline for the responsibilities and qualifications required for this position. It is not an exhaustive list, and responsibilities may evolve and change based on business needs.***