Lead Data Scientist
2 months ago
About Builder
We're dedicated to making app development accessible to everyone, regardless of their technical background or budget. We've empowered thousands of entrepreneurs, small businesses, and global brands like NBC Universal and Pepsi, as well as organizations such as Bobcat and Smart Path, to achieve their software goals. Our recent $250 million Series D funding (and partnership with Microsoft) signifies an exciting new chapter in our journey.
Life at Builder
At Builder, we encourage experimentation and continuous learning. Each role offers unlimited opportunities for growth and innovation. We're a diverse, collaborative team united by our shared belief in Builder's HEARTT values: (Heart, Entrepreneurship, Accountability, Respect, Trust, and Transparency) and a can-do attitude.
In return for your skills and dedication, we offer a range of benefits, including hybrid working arrangements, a variable annual bonus, employee stock options, generous paid leave, and international travel opportunities.
Why We Need You
Our Intelligent Systems team in London is at the forefront of driving innovation through cutting-edge data science, machine learning, and generative AI technologies. As a crucial part of our organization, this team is poised for substantial growth.
We're responsible for spearheading a wide range of existing use cases, advancing Builder's Code Generation efforts, managing our proprietary knowledge graph, and leveraging advanced data analysis to derive valuable insights and make data-driven decisions.
Responsibilities
- Lead the development and implementation of innovative machine learning models and algorithms.
- Design and execute experiments to evaluate the performance and effectiveness of AI solutions.
- Collaborate with cross-functional teams to integrate AI capabilities into existing products and services.
- Stay abreast of the latest advancements in data science and machine learning.
- Mentor and guide junior data scientists.
Qualifications
- Master's degree or Ph.D. in Computer Science, Data Science, Statistics, or a related field.
- Proven experience leading and delivering complex machine learning projects.
- Strong understanding of various machine learning algorithms and techniques.
- Proficiency in programming languages such as Python or R.
- Excellent communication and collaboration skills.
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