Senior Data Science

Job DescriptionYour Impact:The purpose of the Senior Associate, Data Science 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 Publicis Sapient is an industry leader in digital thinking, execution, and value realization for clients through data-driven solutions.You will function as part of a world class Data Science team to support various AI and machine learning initiativesSolve complex marketing and business challenges by accessing, integrating, manipulating, mining, and modeling a variety of data sourcesReframe client business questions into data science deliverables. Contribute to data science roadmap creation. Collaborate with internal and external stakeholders to establish objectives, deliverables, and timelinesUse distributed computing systems to ingest, access and integrate various big data sourcesPerform exploratory data analysis, data cleansing and imputation, feature generation in preparation to the modelling processApply various quantitative techniques to build predictive models and uncover patterns in dataBuild scalable data pipelines and models for real-time modelling frameworksDocument and visualize your work and outputs for technical and non-technical audiencesContribute to the Data Science capability through presenting work, mentoring talent, helping form best practices and point of views on various AI-related topicsQualificationsYour Skills & Experience:Broad awareness of data science concepts including, linear regression, logistic regression, correlation variance, standard dev, dimensionality reduction, unsupervised learning, parameter tuning, cross- validation, boot strapping, forecasting and Imputation.Experience with Python, R, Tensorflow, Cortana, Azure, Watson, SPSS, and SAS.Hands on evaluation experience with understanding of data exploration, model comparison, model evaluation, insights/interference, and data Interpretation / insight analysis.Demonstrable delivery experience using a wide variety of machine-learning techniques including classifiers, regression, clustering, decisions trees, neural networks, NLP, and ensemble techniques.Experience with customer segmentation, behavior analysis, developing recommender systems, fraud analytics, personalization systems and forecasting.Ability to work with data engineers to design/develop data intensive solutionsBroad understanding of digital landscape and martech principlesExperience with solution design and development, quality assurance and testing, data visualization and prototyping.Ability to integrate multiple methods to accomplish specific objective/project and apply techniques and learnings from past projects to new projectsGreat written and verbal communication and the ability to work closely with senior stakeholders.Bachelor's, Master's degree or equivalent in Computer Science, Artificial intelligence, Machine Learning, Mathematics, Applied Statistics, Physics, Engineering or related field.