Description
AI Applied Scientist
Team: Data Science
Location: Europe
Commitment: Full-Time or Part-Time
Workplace Type: hybrid
Our AI team operates at the intersection of quantitative decision-making and frontier model technology to create real-world impact in the world's foremost companies. They design, build, and implement applied AI systems that improve the quality of human decisions and unlock major efficiencies. The team collaborates with software engineers and data scientists to solve complex problems in inference optimization, scalable systems design, and human-computer interaction. They combine technical deep learning, business acumen, and engineering expertise with an entrepreneurial mindset driven by rapid experimentation, first-principles thinking, and a passion for tackling complex real-world problems to deliver lasting impact.
As an applied scientist, you will identify the most impactful problems to solve, translating commercial objectives into technical solutions. You will combine and transform large multimodal datasets to run in-depth statistical analysis, and apply deep learning models to automate large-scale decisions, integrated into live business processes, designed to generate tangible economic impact.
We are looking for team players who have excellent quantitative abilities and:
- A degree in computer science, mathematics, statistics, physics, economics, or similar fields from a leading university
- In-depth understanding of mathematical and statistical concepts behind the most common machine learning techniques
- Familiarity with frontier lab APIs (Gemini, OpenAI, Anthropic), and their advanced features like structured outputs and tool calling
- Understanding of LLM inference considerations e.g. input vs. output tokens, prompt caching
- Experience working with deep learning models within natural language processing or computer vision (e.g. HuggingFace model import/fine-tuning /inference)
- Experience writing code in Python
- Experience and willingness to work through the challenges associated with large, unstructured, real-world data sets in a client-facing setting
- Ability to see solutions and opportunities that others do not see
- High level of commitment and reliability, good balance of pragmatism and perfectionism
Bonus if skilled in any of the following tools and/or languages:
- Cloud Infrastructure
- Git
You will be part of a smart, motivated, and driven team that revels in working on challenging problems and finding novel solutions; values our customers and users; and strives to deliver thoughtful and impactful products. You will be surrounded by people who respect each other and the contributions each of us brings. We offer a generous compensation package that includes a base salary, bonus, stock options, and relocation support, along with additional location-based benefits.
About QuantCo
At QuantCo, we leverage expertise in data science, engineering, and economics to help organizations turn data into decisions. Started by 4 PhDs from Harvard and Stanford, we are now more than 180 professionals with extensive quantitative, engineering, and business experience. We are globally distributed with offices in Berlin, Boston, Cologne, Karlsruhe, London, Munich, San Francisco, and Zurich.
Our solutions include algorithmic pricing, data-driven claims management, and high-dimensional forecasting systems. Our customers include some of the largest financial, retail, and healthcare organizations in the US and Europe. We impact core business processes and decisions by combining advanced data-driven insights with scalable engineering solutions.
We are excited about writing mission-critical code that affects millions of people and impacts billions of dollars. If you feel the same way, we look forward to hearing from you.
QuantCo does not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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