Job Description
Your growth is our top priority. As a Senior Data Scientist, you will be part of our global team working on high-impact projects across various industries. Your role will involve driving lasting impact and building long-term capabilities with our clients.
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.
Key Responsibilities:
* Solve complex business problems with our clients using advanced machine learning and statistical methods.
* Lead research and development of state-of-the-art Machine Learning and statistical methods.
* Collaborate with industry executives and QuantumBlack experts to find and execute opportunities to improve business performance using data and advanced machine learning models.
* Mentor other data scientists and help them grow their knowledge and skills.
Benefits
We offer a comprehensive benefits package to enable holistic well-being for you and your family. 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.
Our global community 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.
Requirements
To succeed in this role, you will need:
* A Bachelor's, master's or PhD level in a discipline such as computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence.
* 7+ years of deep technical experience in distributed computing, machine learning, and statistics related work.
* Programming experience in languages such as: Python, R, Scala, SQL.
* Knowledge of distributed computing or NoSQL technologies is a bonus.
* Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning.