At Roche you can show up as yourself embraced for the unique qualities you bring. Our culture encourages personal expression open dialogue and genuine connections where you are valued accepted and respected for who you are allowing you to thrive both personally and professionally. This is how we aim to prevent stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche where every voice matters.

The Position

Position title: Senior Data Scientist
Reporting to: Senior Manager Data Science
Job Location: Hyderabad / Chennai

A healthier future. Its 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.

Thats what makes us Roche.

Roche has established the Global Analytics and Technology Center of Excellence (GATE) to drive analytics- and technology-driven solutions by partnering with Roche affiliates across the globe. GATE enables data-led decision-making and innovation across healthcare and biotech operations.

As a Senior Data Scientist you will lead and deliver high-impact data science projects that enable strategic decision-making within Roches healthcare and commercial ecosystem. Collaborating closely with cross-functional teams your primary focus will be on Healthcare and Pharma Data Science and Marketing Mix Modeling (MMM) leveraging advanced statistical and machine-learning techniques to generate actionable insights and optimize business outcomes.

Exposure to GenAI LLM NLP and ML Ops will be considered a strong advantage supporting Roches future-ready analytics and AI roadmap.

Your Opportunity:

Project Leadership and Collaboration (Primary Focus):

• Lead and manage end-to-end data science projects from problem definition to model deployment ensuring alignment with business goals and timelines

• Partner with cross-functional teams to define business requirements and deliver tailored analytics solutions

• Develop and maintain key stakeholder relationships to ensure effective communication and collaboration throughout project lifecycles

• Present analytical findings and strategic recommendations to business stakeholders influencing data-driven decision making across multiple levels of the organization

Advanced Analytics (Primary Focus):

• Collect clean and prepare large and complex healthcare-related datasets (product performance patient data operational metrics etc.) for analysis

• Develop and implement statistical and machine learning models (e.g. multivariate regression time-series analysis XGBoost clustering classification causal inference) to address complex business problems and uncover meaningful insights

• Utilize advanced data analytics techniques to explore and identify patterns trends and root causes applying methodologies such as clustering classification and causal inference

Marketing and Experimental Analytics (Primary Focus):

• Build Econometric/market mix models (MMM) multi-touch attribution models (MTA) optimize marketing spend and come-up with implementable recommendations and strategy/plan

• Lead the development and implementation of advanced Media Mix Models to inform and optimize marketing spend across multiple channels (e.g. TV digital print radio)

• Design and execute complex statistical analyses to evaluate the effectiveness of marketing strategies and optimize resource allocation

• Apply experimental design and A/B testing methodologies to validate and measure marketing and operational initiatives

GenAI NLP and Machine Learning Operations (Secondary / Emerging Focus):

• Develop and implement GenAI models and tools to solve business problems

• Deploy machine learning models in production environments ensuring robust ML Ops practices for model monitoring maintenance and scaling

• Collaborate with IT and DevOps teams to streamline the integration of ML models into existing systems and workflows

• Enhance agent performance through experimentation with LLMs prompt tuning and advanced reasoning workflows

Communication Mentorship and Governance (Primary Focus):

• Translate complex data insights into clear and actionable business strategies that address stakeholder needs and expectations

• Mentor and guide junior data scientists providing technical expertise and fostering an environment of continuous learning and improvement

• Promote best practices in coding data handling and project management within the data science team ensuring high-quality deliverables

• Ensure adherence to Roches ethical AI standards and data privacy regulations

Who you are:

• You hold a bachelors degree in Technology or a relevant discipline with a preference for Computer Science Software Statistics Data Science AI Machine Learning Data Engineering and related fields. Preferably you have a Masters degree

• Certifications in AI/ML Data Science or related technologies would be a plus

• You have 5-8 years of hands-on experience in data science with proven experience in leading data science projects within the pharma/biotech/healthcare domain

• Strong proficiency in Python and SQL with experience in data wrangling feature engineering and analytical model development

• Experience working in cloud-based environments (AWS preferred) with practical knowledge of GitHub and cloud computing workflows for data science projects

• Hands-on experience building models using algorithms and techniques such as multivariate regression time series analysis XGBoost clustering classification OLS regression Naïve Bayes linear and time-decay attribution models Markov chains and Shapley value methods

• Experience in Multi channel Marketing Mix Modeling (MMM) or related fields with a track record of delivering impactful results

• At least 4 years of strong experience with machine learning libraries and frameworks such as TensorFlow PyTorch scikit-learn Keras spaCy NLTK NumPy pandas and Spark

• Basic understanding of pharmaceutical datasets (e.g. IQVIA SHA Patients data) and familiarity with US healthcare markets would be a plus

• Strong analytical and problem-solving skills with a data-driven mindset

Good to Have:

• Experience with modern deep learning architectures for NLP including hands-on experience with transformers (e.g. Hugging Face SBert GPT-2/GPT-3) and the capability to build ML/DL pipelines for training/tuning models including transfer learning

• Proficiency with LLM APIs (e. g. OpenAI Claude Gemini) and agent frameworks such as AutoGen LangGraph AgentBuilder or CrewAI

• Experience with prompt engineering or intelligent workflow automation

• Bash/shell scripting is a plus Experience with Docker API development is advantageous

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.

Who we are

A healthier future drives us to innovate. Together more than 100000 employees across the globe are dedicated to advance science ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities foster creativity and keep our ambitions high so we can deliver life-changing healthcare solutions that make a global impact.

Lets build a healthier future together.

Roche is an Equal Opportunity Employer.