Senior Associate Data Science

at  Publicis Sapient

Company Description
At Publicis Sapient, we help companies and the public sector keep up with the pace of technological, societal, and cultural change—all while meeting the ever-evolving demands and expectations of their customers. How? By elevating customer experiences, modernizing organizations and unlocking value through technology and data. By setting bold but achievable visions for digital transformation, we empower our business partners with true speed and agility.
Job Description

YOUR 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 solutions
• Broad understanding of digital landscape and martech principles
• Experience 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 projects
• Great 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.
  Additional Information
  Pay Range: $134,000 - $161,000

• 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, feature generation in preparation to the modelling process
• Apply various quantitative techniques to build predictive models and uncover patterns in data
• Build scalable data pipelines and models for real-time modelling 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 point of views on various AI-related topic