AI Data Scientist

AI in this role

ai-safety

ROLE

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s Data Services (CDS) group is looking for an AI Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

RESPONSIBILITIES

Build AI-powered data products using machine learning models, large language models, and modern AI tools.
Design, train, fine-tune, evaluate, and deploy in-house AI/ML models using proprietary and external datasets.
Develop end-to-end model pipelines covering data preparation, feature engineering, training, validation, deployment, and monitoring.
Apply generative AI and LLM techniques to use cases such as summarization, classification, knowledge extraction, semantic search, and workflow automation.
Work with product, engineering, and business teams to translate business problems into scalable AI solutions.
Evaluate and integrate third-party AI tools, APIs, open-source models, and internal models where appropriate.
Build data pipelines and model workflows for structured and unstructured data.
Define model performance metrics, run experiments, conduct error analysis, and continuously improve model quality.
Support production deployment of AI models, ensuring reliability, scalability, governance, and responsible AI usage.

REQUIREMENTS

PhD in Computer Science, with a specialization in AI or machine learning related domains
Strong programming skills in Python and SQL
Strong publication record in top tier machine learning conferences
3+ years of experience as a Data Scientist or similar role
Experience working with large data sets including predictive modeling
Financial industry experience preferred but not required
Strong organization, communication and interpersonal skills
Intellectual curiosity and enthusiasm for learning
Attention to detail and a love of processes
Strong oral and written communication skills
Ability to multitask and prioritize assignments
Commitment to the highest ethical standards

How we rate this

AI Data Scientist at Point72 rates 98 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Safety

Questions you could be asked

How do you think about the risk of an AI system in this kind of role failing silently?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: AI Safety. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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