• Lead marketing and sales-related problem-solving activities, leveraging AI/ML techniques
• Develop models (demand and patient, MMM, etc.) using key business insights to support commercial excellence
• Evaluate the effectiveness of various promotion and marketing programs in the US leveraging Marketing Mix Models (Bayesian Models) / Promotion response model / ROI analysis; Impact of channel dynamics: Field Force/Multi-channel modeling
• Optimize promotion resource allocation; scenario-based simulation
• Perform customer segmentation, market performance analysis/trend break detection, HCP/DTC media channel effectiveness, patient prediction and drivers analsyes
• Responsible for consistent metrics as inputs and outputs of models
• Prepare high-quality, accurate analysis using cutting-edge analytical methods

Processes

• Frame the key marketing questions to guide analysis and work plan
• Communicate model results and implications to business partners
• Ability to work cross-functionally, gather requirements, analyze data, and generate insights and reports that can be used by the business
• Contribute to overall quality enhancement by ensuring high standards for the outputs produced by the team
• Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards
• Use latest tools/technologies/methodologies and partner with internal teams to continuously improve data quality and availability by building business processes that support global standardization

Stakeholder Management

• Work collaboratively with the stakeholder teams to prioritize work and ensure timely delivery of requests
• Partner with marketing, media, and commercial stakeholders to answer key business questions and support strategic decision making

Technical skills

• Expert in end-to-end delivery of Marketing Mix Modelling projects
• Proficiency in statistical concepts like hypothesis testing, regression analysis, time series analysis, and probability theory
• Understanding of mathematical concepts like linear algebra, calculus, and optimization
• Expertise in machine learning algorithms (supervised, unsupervised, and reinforcement learning).
• Experience with data mining techniques like clustering, classification, and association rule mining.
• Knowledge of feature engineering, model selection, and hyperparameter tuning.
• Fluency in programming languages like Python (with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch)
• Ability to write efficient and clean code for data manipulation, analysis, and model development.
• Strong analytical skills to identify patterns, trends, and anomalies in data.
• Ability to break down complex problems into smaller, manageable steps.
• A curious and inquisitive mindset to explore data and discover new insights.
• Strong project management abilities; capable of prioritizing and leading multiple projects simultaneously
• Working experience of Python and SQL
• Excellent planning, design, project management and documentation skills
• Excellent management of customer expectations, listening, and multi-tasking skills.
• Experience with US pharmaceutical datasets (e.g. IQVIA, Symphony, Komodo, Veeva, Salesforce)
• An aptitude for problem solving and strategic thinking
• Ability to synthesize complex information into clear and actionable insights
• Proven ability to work effectively across all levels of stakeholders and diverse functions
• Solid understanding of pharmaceutical development, manufacturing, supply chain, sales and marketing functions

Good-to-have skills

• Experience with cloud platforms like AWS, GCP, or Azure and knowledge of cloud-based data services and tools.
• Experience with machine learning operations, including model deployment, monitoring, and retraining.
• Understanding of data pipelines, data warehousing, and data lakes.
• Proficiency in data visualization tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn).
• Proficiency with Generative AI tools and prompt engineering - Hands-on experience with LLMs and AI platforms to support analytical tasks and data-driven solutions.

Experience 4-6 years of relevant work experience with solid understanding of principles, standards, and best practices of Pharma Commercial Analytics, including Business Analytics

Education Bachelors or Masters degree in areas such as Information Science/Operations/Management/Statistics/Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field

Soft skills Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills is a must; Team player who is curious, dynamic, result oriented; Ability to operate effectively in an international matrix environment, with ability to work across time zones; Demonstrated leadership and management in driving innovation and automation leveraging advanced analytical techniques

Languages Excellent English communication skills – written and spoken

Pursue progress, discover extraordinary! Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing a desire to make miracles happen. So, let’s be those people!

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity!

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !

Pursue progress , discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !