Senior Data Scientist

CONTEXT

Our client, a major player in its sector, operates in a highly dynamic and competitive market where understanding the true impact of commercial decisions is paramount. In an era of rapid digital transformation and evolving consumer behaviors, the ability to precisely measure the effectiveness of promotions, media investments, and pricing strategies directly translates into market leadership and sustainable growth. This role emerges from a strategic imperative to elevate data-driven decision-making, moving beyond reactive analysis to predictive and prescriptive intelligence. You will join a forward-thinking team committed to leveraging cutting-edge data science to unlock deeper market insights, optimize resource allocation, and ultimately shape the future commercial landscape. This is not just about building models; it's about pioneering a new era of strategic intelligence, where every decision is informed by robust, data-backed evidence.

ACTIVITIES

As a Senior Data Scientist, your mission will span the entire lifecycle of advanced analytical model development and deployment. You will be responsible for extracting and transforming complex datasets from various sources, applying sophisticated feature engineering techniques to prepare data for modeling. You will then design, build, and rigorously test advanced econometric and machine learning models to quantify the causal impact of diverse factors like promotional campaigns, media spend across channels, pricing adjustments, and competitive actions on sales and market share. A critical aspect of your role will be to interpret and clearly explain complex model results to non-technical stakeholders, translating statistical nuances into actionable business recommendations. Furthermore, you will be instrumental in embedding these analytical solutions into robust, reproducible pipelines, ensuring scalability, maintainability, and operational excellence for ongoing commercial intelligence.

EXPECTED ACHIEVEMENTS

Your success in this role will be measured by your tangible contribution to the client's commercial strategy and market performance. You will be expected to deliver highly accurate and interpretable models that significantly improve the ROI of marketing and promotional investments, leading to measurable uplift in sales and market share. By providing timely and precise insights, you will empower commercial teams to make more informed and confident decisions, reducing risk and identifying new growth opportunities. The development of reproducible analytical pipelines will ensure the sustainability and scalability of your solutions, fostering a culture of data literacy and continuous improvement within the organization. Ultimately, your work will directly enhance the client's competitive advantage and solidify their position as an industry leader through unparalleled analytical capabilities.

ENVIRONMENT

The technological and methodological environment for this role is at the forefront of modern data science. You will primarily work with Python, leveraging libraries such as scikit-learn, StatsModels, Pandas, and NumPy for data manipulation, statistical analysis, and machine learning. Experience with distributed computing frameworks like Apache Spark for handling large datasets will be highly valued. For data orchestration and pipeline management, familiarity with MLOps principles and tools will be crucial, ensuring models are deployed, monitored, and maintained effectively. You will utilize cloud platforms (e.g., AWS, Azure, GCP) for scalable computation and storage, and collaborate within an Agile framework, using tools like Git for version control. A strong foundation in econometrics and statistical modeling is essential, alongside a keen interest in marketing analytics and the ability to apply rigorous quantitative methods to real-world business challenges.