Who You'll Work WithYou will be part of our global Data Science community and you will work with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects, using math, stats and machine learning to derive structure and knowledge from raw data across various industry sectors.
You will be a 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.Our Tech StackWhile we advocate for using the right tech for the right task, we often leverage the following technologies: 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.What You'll DoOnly at McKinsey, you will work on real-world, high-impact projects across a variety of industries, identify micro patterns in data that our clients can exploit to maintain their competitive advantage and watch your technical solutions transform their day-to-day business.
You will experience the best environment to grow as a technologist and a leader, develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.
You will be surrounded by inspiring individuals as part of diverse multidisciplinary teams, develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.As a Senior Data Scientist, 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 methodsPlay 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 modelsIdentify machine learning R&D initiatives that have high potential of applicability in industryWork with Quantumblack leadership and client executives to understand business problems and map them to state-of-the-art analytics and AI solutionsUse the latest advances in deep learning, reinforcement learning and AI to solve business problems and derive key insights across various industry sectorsMentor other data scientists and help them grow their knowledge and skillsWork 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 worldInfluence and help shape the R&D roadmap for Quantumblack, especially on deep learningPerhaps most importantly, you will work in one of the most talented and diverse data science teams in the worldQualificationsBachelor's, master's or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence7+ years of deep technical experience in distributed computing, machine learning, and statistics related workProgramming experience in languages such as: Python, R, Scala, SQLKnowledge of distributed computing or NoSQL technologies is a bonusClient-facing skills e.g.
working in close-knit teams on topics such as data warehousing, machine learningProven application of advanced analytical, data science and statistical methods in the commercial worldDemonstrated leadership (thought leadership or people leadership e.g.
managed project teams or direct reports)Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fieldsWillingness to travel