Data Scientist

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