You will work with other data scientists, data/ML engineers, designers, project managers and business subject matter experts on interdisciplinary projects across various industry sectors to enable business ambitions with data & analytics.
You are 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.
While we advocate for using the right tools for the right task, we also take into account client’s current landscape and preferences. Often, we use Python, PySpark, TensorFlow, PyTorch, Databricks, SQL, Docker and Kubernetes. We also leverage our own proprietary tools such as Kedro, CuasalNex, MLRun (check out more OSS here: https://www.mckinsey.com/capabilities/quantumblack/labs). We work on regular basis with cloud service providers such as AWS, GCP and Azure.
As a 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 methods
- Play a leading role in bringing the latest advances in AI and deep learning to our clients, collaborating with industry executives and QuantumBlack experts to find and execute opportunities to improve business performance using data and advanced machine learning models
- 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
- Work closely with other data scientists, 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
- Perhaps most importantly, you will work in one of the most talented and diverse data science teams in the world