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Responsibilities
Drive sales and solutioning of data science/analytics engagements
Manage and/or supervise project delivery
Mentor teams, build new capabilities, support/contribute to thought leadership and building new skills.
Work seamlessly with Client teams in positioning data science/analytical capabilities and with help of them drive deliver data science/analytics engagement.
Manage the challenges of using statistics in a business setting, such as incomplete data, biased data, large data sets, low signal-to-noise ratios, high variance, and multiple objective functions
Requires being creative and resourceful and will utilize traditional statistical methodologies as well as newer techniques from computational statistics and data mining and big data capabilities.
Qualifications
Experience in one or more statistical software packages such as R, SAS, SPSS, etc
Experience in one or more programming languages such as Python, R, etc
Experience in one or more machine learning solutions such as TensorFlow, IBM Watson, etc
Experience in one or more tools for visualization such as Tableau, Qlik, D3, etc
Good understanding of statistical modelling and machine learning
Good understanding of machine learning techniques such as Neural Networks, Random Forest, etc
Ability to meet travel requirements, when applicable
Have a minimum of 3-5 years in relevant experience
Have a minimum of Bachelor degree
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