.Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.The purpose of the Senior Associate is to work with clients undergoing a data-driven transformation (DDT) across the globe. The Senior Associate will accelerate and drive the DDT strategy for clients, working in partnership with Digital directors, client teams, and practice capability. Furthermore, the role will be a key contributor in ensuring the agency is an industry leader in digital thinking, execution, and value realization for clients through data-driven solutions.Your Impact:You will function as part of a world-class Data Science team to support various AI and machine learning initiatives.Solve complex marketing and business challenges by accessing, integrating, manipulating, mining, and modeling a variety of data sources.Reframe client business questions into data science deliverables. Contribute to data science roadmap creation. Collaborate with internal and external stakeholders to establish objectives, deliverables, and timelines.Use distributed computing systems to ingest, access, and integrate various big data sources.Perform exploratory data analysis, data cleansing and imputation, and feature generation in preparation for the modeling process.Apply various quantitative techniques to build predictive models and uncover patterns in data.Build scalable data pipelines and models for real-time modeling frameworks.Document and visualize your work and outputs for technical and non-technical audiences.Contribute to the Data Science capability through presenting work, mentoring talent, helping form best practices, and sharing points of view on various AI-related topics.Proficiency in several time series techniques: ARIMA, ARIMAX, exponential smoothing, GARCH, regression, moving average, neural networks, LSTM.Strong skills in classification methods: logistic regression, decision trees, random forests, SVM, neural networks, KNN, Naive Bayes.Advanced proficiency in Python and related technologies.Graduate degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Applied Statistics, Physics, Engineering, or a related field