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Senior Data Scientist - Quantumblack

  • Bogota
  • Santiago


  • Post-graduate degree in machine learning, computer science, statistics, mathematics, engineering or related field
  • 5+ years of deep technical experience in distributed computing, machine learning, and statistics related work
  • Programming experience in languages such as R or Python
  • Experience in implementing statistical modelling and machine learning methods
  • Experience in applying data science methods to commercial problems
  • Some R&D experience in Machine Learning, Statistics or Reinforcement Learning
  • Experience with Deep Learning frameworks such as Tensorflow or PyTorch is preferable but not essential
  • Good presentation and communication skills, with a knack for explaining complex analytics concepts to a diverse set of clients and colleagues at all levels

Who You'll Work With

You’ll work in our Santiago or Bogotá office as part of our Digital McKinsey team.

As a Data Scientist at QuantumBlack, you will work with other Data Scientists, Data Engineers, Machine Learning Engineers, Designers and Project Managers on interdisciplinary projects, using Maths, Stats and Machine Learning to derive structure and knowledge from raw data across various industry sectors.

Who You Are

You are highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change experimenting with new approaches, learning and improving to move forward quickly.

What You'll Do

You will solve the hardest business problems with our clients in multiple industries worldwide while leading research and development of state-of-the-art Machine Learning and statistical methods.

You will play a leading role in bringing the latest advances in deep learning to the world economy, collaborating with industry executives and QuantumbBlack experts to find and execute opportunities to improve business performance using data and advanced machine learning models.

The role is ideal for candidate with strong R&D background in Machine Learning, combined with a passion for bringing the latest research to real applications. We welcome candidates interested in transitioning from a pure academic R&D background into an applied industry role.

You will also have the opportunity to grow a team of Data Scientists in Spanish Latam that will live at the intersection of R&D and practical application of AI at scale, while collaborating with Data Science experts from other QuantumBlack hubs in Boston, Chicago, London, Sidney and Sao Paulo.

Role Responsibilities

  • Identify Machine Learning R&D initiatives that have high potential of applicability in industry.
  • Work with Quantumblack leadership and Client executives to understand business problems and map them to state-of-the-art analytics and AI solutions.
  • Use the latest advances in Deep Learning, Reinforcement Learning and AI to solve business problems and derive key insights across various industry sectors.
  • Work with the recruiting team to build a team of Data Scientists in Spanish Latam
  • Mentor other Data Scientists and help them grow their knowledge and skills
  • Work closely with Data Engineers, Machine Learning Engineers and Designers to build end-to-end analytics solutions for our clients that drive real impact in the real world.
  • Influence and help shape the R&D roadmap for Quantumblack, especially on Deep Learning.
  • Work in a multi-disciplinary environment mixing highly skilled people in data science, data engineering, business and design.
  • Perhaps most importantly, you will work in one of the most talented and diverse data science teams in the world.
Apply Now
Job Skill Group - CSS Associate
Job Skill Code - SPDS - Specialist, Data Science
Function - Corporate Finance;Marketing & Sales;Risk;Strategy;Technology;Sustainability
Industry - Pharmaceuticals & Medical Products;Metals & Mining;Media & Entertainment;Healthcare Systems & Services;Financial Services;Consumer Packaged Goods;Private Equity & Principal Investors;Oil & Gas;High Tech;Electric Power & Natural Gas;Retail;Telecommunications;Advanced Electronics;Infrastructure;Aerospace & Defense;Automotive & Assembly;Capital Projects & Infrastructure
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