Applied Scientist, AI/ML

Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics Develop novel AI/ML solutions for healthcare using structured and unstructured data. Build and test agentic, generative AI, deep learning, and traditional ML systems in distributed environments. Design experiments, perform statistical analysis, visualize data, communicate findings, and collaborate with stakeholders, responsible AI teams, and engineering groups on compliant solutions, data pipelines, MLOps, LLMOps, and Agentic Ops. Document models and contribute to patents and publications. Top Skills: Agentic AiSparkDeep LearningDistributed ComputingGenerative AiGitLlmopsLlmsMachine LearningMlopsPythonPyTorchRelational DatabasesSnowflakeTensorFlow CrowdStrike

• Deep expertise in at least one relevant area-such as machine learning, statistics, econometrics, or causal inference-and an interest in learning and working beyond it.
• Strong command of the mathematical and statistical foundations behind machine learning, statistical inference, and experimental design.
• Fluency in Python and its data and ML ecosystem (e.g., pandas/Polars, scikit-learn, PyTorch/JAX, XGBoost/LightGBM).
• A degree in computer science, economics, statistics, mathematics, physics, engineering, or a related quantitative field.

Nice to have:

• An advanced degree (MS/PhD) in one of the fields above.
• Hands-on experience training, adapting, or evaluating deep learning and foundation models, or the curiosity and technical foundations to get there quickly

You’ll join an intellectually curious, interdisciplinary team that thrives on solving difficult problems and developing novel solutions that work in practice. We care deeply about our customers and build thoughtful products that deliver meaningful impact. You’ll work alongside colleagues who take one another’s ideas seriously, challenge each other thoughtfully, and are eager to learn across disciplines. We offer a generous compensation package that includes a base salary, bonus, and equity, 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., 120K-180K Annually Senior level 120K-180K Annually Senior level Cloud * Computer Vision * Information Technology * Sales * Security * Cybersecurity Lead research and engineering of production-grade LLM/GenAI systems for cybersecurity: design models and architectures, drive data labeling and evaluation, collaborate with product and engineering to deploy scalable solutions, mentor data scientists, set technical strategy, and advance AI safety, red-teaming, and applied ML innovations for detection and operational use. Top Skills: Cloud TechnologiesDeep Learning FrameworksGenaiGpu TechnologiesLlmsPython CrowdStrike, 140K-215K Annually Senior level 140K-215K Annually Senior level Cloud * Computer Vision * Information Technology * Sales * Security * Cybersecurity Lead development and deployment of large-scale LLM and GenAI solutions for cybersecurity. Drive research strategy, model training, evaluation, safety/red-teaming, and cross-functional productization. Mentor data scientists, set technical standards, and represent the team through publications and thought leadership. Top Skills: Cloud TechnologiesDeep Learning FrameworksGenerative AiGpu TechnologiesLlmsPython

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Posted Yesterday Remote or Hybrid Hiring Remotely in United States Entry level Remote or Hybrid Hiring Remotely in United States Entry level Develops and deploys machine learning systems for high-stakes decisions in pricing, claims, underwriting, and predictive health. Responsibilities span problem framing, quantitative research, experimentation, causal inference, predictive modeling, multimodal and foundation model development, agent systems, production deployment, and ongoing iteration. The role requires strong mathematical and statistical foundations, Python fluency, and expertise in machine learning, statistics, econometrics, or causal inference. The summary above was generated by AI

As an Applied Scientist, AI/ML at QuantCo, you’ll bring together advances in AI with rigorous economic and quantitative thinking to build models and systems that power high-stakes decisions across industries. Those systems tackle some of the hardest, most consequential problems our customers face, and you’ll carry the work from initial framing and research through experimentation, model development, and continued iteration in production.

We work in areas such as algorithmic pricing, claims management, underwriting, and predictive health. You’ll build on a shared technology base that improves with each new application, while choosing-and when needed, developing-methods to fit the problem. That might mean designing and analyzing experiments; combining predictive modeling with causal inference; developing multimodal models that combine images, text, and structured data; training foundation models on sequences of medical events; or building agents that work with complex data and workflows. The resulting systems run in production at organizations serving millions of people, informing and automating critical business decisions that affect billions of dollars. You’ll have unusual autonomy over how they’re designed and built.

There is no single path into this role. Our applied scientists come from AI research, economics, statistics, computer science, and other quantitative fields. The team brings together colleagues with PhDs as well as those with master’s and bachelor’s degrees. What they share is exceptional quantitative judgment, the ability to learn quickly, and the drive to turn ideas into systems that deliver measurable real-world impact.