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Senior Data Science Lead

2 months ago

Minneapolis, Minnesota, United States Publicis Sapient Full time
About the Role

We are seeking a highly skilled Senior Data Science Lead to join our team at Publicis Sapient. As a key member of our data science team, you will play a critical role in driving our clients' data-driven transformation (DDT) strategies across the globe.

Key Responsibilities
  • Accelerate and drive DDT strategies for clients, working in partnership with digital directors, client teams, and practice capability.
  • Contribute to the development of data science roadmaps and 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 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 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 perspectives on various AI-related topics.
Requirements
  • Broad awareness of data science concepts, including linear regression, logistic regression, correlation variance, standard deviation, dimensionality reduction, unsupervised learning, parameter tuning, cross-validation, bootstrapping, 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/interpretation, and data interpretation/insight analysis.
  • Demonstrable delivery experience using a wide variety of machine-learning techniques, including classifiers, regression, clustering, decision 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 the 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 objectives/projects 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.
What We Offer
  • Flexible vacation policy; time is not limited, allocated, or accrued.
  • 16 paid holidays throughout the year.
  • Generous parental leave and new parent transition program.
  • Tuition reimbursement.
  • Corporate gift matching program.
About Publicis Sapient

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at or you may call us.