Data Scientist - Advanced Analytics
McKinsey & Company
Mexico City
hace 12 días

Qualifications

  • Exceptional numerical and statistical ability, with excitement for applying analytics to client challenges
  • Significant experience using analytic / database software and languages such as SAS, SQL, SPSS, R, Python, etc.
  • Superior critical thinking and creative problem solving skills
  • Basic business intuition and clear expertise in analyses
  • Ability to describe analytic processes, including when and why specific approaches are favored
  • Strong oral and written communication skills, including the ability to communicate effectively to non-technical audiences
  • Ability to deliver in deadline-driven environment
  • Team player with a passion for coaching colleagues and clients
  • Desire to build and develop knowledge for the firm, and use analytics to solve client problems
  • Who You'll Work With

    You’ll work with our Analytics team in Mexico. This practice supports clients in many different industries facing challenges of developing and implementing tailored concepts for prediction and prescription.

    What You'll Do

    You will focus on the development of Advanced Analytics models to optimize underlying business problems.

    As a Data Scientist, 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.

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