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Data Scientist - Advanced Analytics

McKinsey & Company

Posted on September 10, 2019

3 - 5 years Riyadh - Saudi Arabia

Any Graduation. Any Nationality

Opening 01

Job Description

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What You'll Do
You will play a core role in building the future of big data and advanced analytics within our diverse client organizations.
In this role you will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways, and create new lines of thinking within an infinite number of clients and situations, with an eye on optimizing every aspect of our clients strategy and operations.
Part of your role will focus on Operations Analytics, where you will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques in order to derive business insights, solve complex business problems and improve decisions. You will support and advise on the day-to-day analytics requirements of clients key operational processes while continually improving the impact of these processes. You will also explore innovative analytical techniques, processes, tools, etc. to better serve clients and to be a thought leader in the industry.
You will act as a core member of the consulting team, conducting deep analytics on a broad set of client and external data. You will play a lead role in team problem solving through findings and insights from analysis. You will create value for clients by understanding their needs and translating them into optimal desired analytical services. You will also act as a leader in overseeing analytics process and data integration between clients and McKinsey.
You will lead and support development of knowledge for the firm s analytic group. You will create a road-map for a greater understanding of analytics and its impact in the consulting population. You will also partner with Data Engineers to ensure timely and effective methods of the extraction, assembly and transfer of broad, complex sets of data.

IT Software

Desired Candidate Profile

•MS in Computer Science, Engineering, Applied Math, Quantitative social sciences or related field; PhD Computer Science, Applied Mathematics/Science, Engineering, Statistics, Quantitative Social Science or related field is a plus
•3+ years of deep technical experience in distributed computing, machine learning, and statistics related work
•Experience developing or designing large software systems is a plus
•Programming experience with R, Python, C/C++, and/or Java
•Proficiency in statistical data analysis and data mining packages SAS, SPSS, MatLab, R, STATA, Excel, etc.
•Proven comfort and an intellectual curiosity for working with very large sets of data, pulling in relevant team members to address identified and sometimes undiscovered client needs
•Strong desire to learn and develop, within a dynamic, self-led organization 
•Strong communication skills, especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues, at all levels 
•Critical thinking and creative problem solving skills
•Ability to influence and work in teams;
•Willingness to travel up to 80% (Sunday-Wednesday)


Data Scientist - Advanced Analytics


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McKinsey & Company

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