Senior Manager

• You're passionate about solving real world problems through the application of machine learning and AI
• Consult with clients to define business problems, and advise on how to apply data science to solve those problems
• Effectively communicate complex technical concepts, processes and results to non-technical audiences
• Solve some of today’s most complex customer issues by designing, coding and implementing machine learning and AI solutions for our clients, or in support of our AI platforms
• Engage across capabilities to ensure project delivered to client expectations
• Collaborate and knowledge-share with your colleagues by sharing the latest research new data science methods, technologies, and thinking to optimize client solutions and outcomes, as well as through detailed, constructive design and code reviews
• Provide expertise and point of view on statistical & machine learning methods and applications to colleagues and clients
• Commit time to training junior team members
• Help establish rigorous standards in machine learning and statistical analysis to ensure consistency across projects
• Contribute to the advancement of data science as a capability
• Provide internal expertise and point of view on data science applications
• Ability to apply techniques and learnings from past projects to new projects
• Contribute to identification of new opportunities within the data science space, and support the delivery of projects on time and to the highest possible standards
• Effectively manage a small team through constructive, honest feedback, daily leadership and motivation being accountable for project quality and delivery

Requirements

• Advanced degree or equivalent in Computer Science, Artificial intelligence, Machine Learning, Mathematics, Applied Statistics, Physics, Engineering or related field.
• 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.
• 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
• Experience with solution design and development, quality assurance and testing, data visualization and prototyping.
• Experience managing multiple projects with tight deadlines.
• Ability to integrate multiple methods to accomplish specific objective/project and apply techniques and learnings from past projects to new projects
• The ability to translate complex solutions into well-structured and simple recommendations.
• Experience leading and/or mentoring a team of data scientists.
• The ability to identify, shape and support business development around data science/AI-driven opportunities.
• Exceptional communication skills, including experience participating and/or leading conversations about data science approaches or solutions with senior client executives.