Point72
financial services
DataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist at Point72. Skills: Statistical modeling, Machine learning, Data pipelines, Cloud analytics. Lead model development and deployment. Build and champion technology insights product”
What You'll Achieve.
Influence decisions across the organization; Set clear service standards; Establish transparent metrics; Measure impact and drive adoption; Unify key performance indicators; Deliver real business impact
Industry & Context.
Turn complex data into actionable insights; Translate business challenges; Highlight service health; Enable targeted action planning; Support proactive management; Uncover recurring issues; Measure impact of corrective actions; Drive continuous improvement
What They're Looking For.
Must Have
5–10 years of professional experience, Bachelor's or master's degree in computer science, data science, statistics, engineering, or a related technical discipline, Deep expertise in statistical modeling, Machine learning, Data mining, Python, R, Cloud-based analytics platforms, Amazon Web Services (AWS), Spark, Databricks, Data wrangling, Feature engineering, Data quality management, Production data pipeline design, Performance management systems, Dashboards, Service excellence frameworks, Data architecture, Data governance, Reproducible research practices, Model monitoring in production, Version control systems, Git, Continuous integration and delivery workflows, Modern workflow orchestration tools, Communicate complex analyses clearly, Collaborate effectively
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Lead model development and deployment
Build and champion technology insights product
Design and maintain analytics platform
Develop automated data pipelines
Translate business challenges into data solutions
Create reports and drill-down analyses
Monitor and analyze performance
Use historical trend analysis
Integrate third-party data sources
Explore cloud-native tools
How You'll Work.
Team & Collaboration
Collaborate with data engineers; Collaborate with analysts; Collaborate with business partners; Communicate with stakeholders
Communication Scope
Communicate complex analyses clearly; Communicate to technical stakeholders; Communicate to non-technical stakeholders
Full Job Description
A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Lead the development and deployment of advanced models and algorithms that turn complex data into actionable insights to influence decisions across the organization Build and champion the rollout of a technology insights product, setting clear service standards, aligning stakeholders, and establishing transparent metrics to measure impact and drive adoption Design and maintain a centralized analytics platform that unifies key performance indicators, satisfaction scores, and operational metrics into intuitive dashboards for leadership Develop automated data pipelines and validation processes to gather, clean, and prepare large sets of structured and unstructured data for modeling and analysis Partner with data engineers, analysts, and business partners to translate business challenges into scalable, production-ready data solutions and shared standards Create reports and drill-down analyses that highlight service health, enable targeted action planning, and support
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