Data Scientist - QuantumBlack, AI by McKinsey

Who You'll Work With

You will be based in our Riyadh, Saudi Arabia or Doha, Qatar office as part of
our QuantumBlack, AI by McKinsey team, partnering with consultants, clients,
and other colleagues.
Our QuantumBlack, AI by McKinsey teams bring the latest analytical techniques
plus a deep understanding of industry dynamics and corporate functions to help
clients create the most value from data.

What You'll Do

You will use data creatively to solve business challenges, often uncovering
new and transformative opportunities along the way.
In this role, you will focus on the development of advanced analytics models
to optimize underlying business problems. You will apply state-of-the-art
advanced analytics, quantitative tools and modeling techniques to interpret,
make inferences and offer recommendations based on insights from the data. 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.
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
review, support and advise on the day-to-day analytics requirements of
clients' key operational processes while continually improving the impact of
these processes.

Qualifications

• Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus


• ‎3+ years of professional experience in programming; experience applied to business problems is a plus


• Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus


• Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel


• Demonstrated aptitude for analytics; statistical knowledge is a plus


• Proven record of leadership in a work setting and/or through extracurricular activities


• Ability to work collaboratively in a team environment and effectively with people at all levels in an organization


• Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus