Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

You will communicate data science features and capabilities to internal and external stakeholders with an eye to identify business needs and uncover areas for deeper data exploration.

In this role, you will play a key consultative and client-facing role in the development of big data and advanced analytics as a refined yet evolving capability of our client teams who advise the top firms in the Operations sector. You will work with clients to help make the connection between our data science capability and real-world tangible impact and insight. You will act as a thought partner with analytics colleagues in the selection of techniques used for data modeling as well as establish operating practices to ensure high quality and efficient extraction and transformation of data.

Additionally, you will engage with our clients to create new strategies across a wide platform of projects from automation to mine optimization to predictive maintenance and more. You will not only expand our current analytics capabilities but will help architect new strategies and applications within a dynamic innovative organization.

You will be based in our Santiago, Chile office as part of Operations Analytics in Latin America.

We work with clients to identify where to focus, convert data and models into actionable insights, and develop institutional skills and structures to sustain impact. We use advanced analytics not only to improve the design of physical systems but also to address management infrastructures and employees' attitudes and behaviors so that clients are able to lead change independently.

We assist our clients in solving the world’s toughest problems by blending strategic thinking with hands-on practicality. Our team of consultants and experts work to develop and implement strategies that solve our clients' most critical problems on a global scale.

Your Growth

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your qualifications and skills

  • Undergraduate degree in computer science, applied math, statistics, engineering or related quantitative field; master's or PhD degree in computer science, artificial intelligence, applied statistics or mathematics is a plus
  • 2+ years of technical and management experience in distributed computing, machine learning and statistics-related work preferably within heavy industry, basic materials (e.g., metals & mining) or service industries
  • Technical experience in predictive analytics, deep learning, machine learning, data mining and/or optimization in an operations-related field (e.g., manufacturing, supply chain, procurement, workforce management and/or fleet scheduling)
  • Experience in defining and/or implementing digital strategies and analytics across all stages of the value chain is a plus
  • Knowledge of Tableau/PowerBI
  • Programming experience in R and/or Python; SQL is a plus
  • Ability to independently own and drive model development, balancing demands and deadlines
  • Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
  • Strong communication skills especially around breaking down complex structures into digestible and relevant points for a diverse set of clients and colleagues
  • Skills to communicate complex ideas effectively, both verbally and written, in English and Spanish
  • Willingness to travel up to 80%

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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Confirmed 11 hours ago. Posted 8 days ago.

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