You'll lead the development of cutting-edge AI and machine learning solutions that tackle some of the most complex business challenges across industries—delivering measurable impact at scale. You will leverage the latest advances in deep learning, reinforcement learning, and AI to uncover insights and improve business performance. You will mentor other data scientists, shape QuantumBlack R&D; roadmap, and identify high-potential machine learning initiatives for industry application. Working closely with data engineers, machine learning engineers, and designers, you will build end-to-end analytics solutions that create real-world impact. You will be based in Monterrey and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you'll work on interdisciplinary projects to solve complex business challenges across a range of industries. Collaborating with QuantumBlack leadership, client executives, and technical experts, you will lead the development and application of cutting-edge machine learning and AI solutions to drive measurable business impact. You'll work on high-impact projects, connect technology with business value, and collaborate with inspiring multidisciplinary teams, gaining a holistic perspective of AI's transformative potential while advancing as a technologist and leader.
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. Every day, you'll receive apprenticeship, coaching,

and exposure that will accelerate your growth in ways you won't find anywhere else.



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. General community: Bachelors, Masters or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
~6+ years of deep technical experience in distributed computing, machine learning, and statistics related work
~ Programming experience in languages such as: Python, R, Scala, SQL
~ Proven application of advanced analytical, data science and statistical methods in the commercial world
~ Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning
~ Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.
~ Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports)
~ Strong communication skills, both verbal and written, in English and Spanish, with the ability to adjust your style to suit different perspectives and seniority levels

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 additional details regarding our general EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
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? Senior SQL Machine Learning Data Scientist (Monterrey)
? Mckinsey
? Monterrey

📌 Senior Sql Machine Learning Data Scientist (Monterrey)
🏢 Reconocida empresa
📍 Monterrey