Data Scientist Jobs in New York, USA

The Quantitative Data Scientist will serve as a critical bridge between research and technology, enabling the firm's systematic trading and options research initiatives through robust data acquisition, engineering, and analytics capabilities. This role is responsible for sourcing and integrating new datasets, building and maintaining reliable research data pipelines, developing analytical processes to transform raw data into actionable insights, and supporting quantitative researchers with scalable tools and infrastructure. The ideal candidate combines strong software engineering skills with a solid mathematical and statistical foundation and is comfortable working hands-on with large financial datasets.

<div class="content-intro"><h2>About us</h2> <div>PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.</div> <div>We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.</div></div><div> </div> <div><strong>Senior Data Scientist — Computer Vision & Predictive Maintenance</strong> <p>We are looking for a Senior Data Scientist with deep computer vision expertise to lead the development of physics-informed predictive maintenance systems for high-value industrial equipment. Working directly with major industrial customers, you will build pipelines that fuse periodic inspection imagery with equipment operating history and physics-based inputs to predict remaining component life — helping operators reduce costly unplanned interventions and optimise asset availability.</p> <p><strong>Who we're looking for</strong></p> <p>You have a strong research foundation in computer vision and applied deep learning, and you know how to take that foundation into production on real-world industrial problems. You are energised by the challenge of building models that actually work under difficult conditions — sparse data, inconsistent image quality, and high stakes for getting it wrong. You can move fluidly between designing the right architecture and debugging a broken data pipeline.</p> <p>You are comfortable working directly with domain experts and customers to translate physical intuition into modelling decisions, and you care about producing outputs that engineers can trust and operators can act on.</p> <p><strong>What you bring</strong></p> <ul> <li>Deep expertise in selecting, adapting, and fine-tuning pretrained vision encoders (ViT, DINOv3, ResNet-family or equivalent) for industrial or scientific imaging problems where data is sparse and capture conditions are variable</li> <li>Strong command of gradient-based interpretability methods (Grad-CAM, integrated gradients) and the ability to produce sensitivity maps that make model behaviour reviewable by non-ML domain experts</li> <li>Proven ability to build joint models that combine visual features with heterogeneous inputs including tabular metadata, time-series operating history, and physics-derived signals</li> <li>Hands-on

🔬 Data Scientist at Partiful. Apply via Ashby.

<p></p> <h3>A Career with Point72’s Technology Team</h3> <p>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.</p> <p>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.</p> <p> </p> <h3>What you’ll do</h3> <ul> <li>Lead the development and deployment of advanced models and algorithms that turn complex data into actionable insights to influence decisions across the organization</li> <li>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</li> <li>Design and maintain a centralized analytics platform that unifies key performance indicators, satisfaction scores, and operational metrics into intuitive dashboards for leadership</li> <li>Develop automated data pipelines and validation processes to gather, clean, and prepare large sets of structured and unstructured data for modeling and analysis</li> <li>Partner with data engineers, analysts, and business partners to translate business challenges into scalable, production-ready data solutions and shared standards</li> <li>Create reports and drill-down analyses that highlight service health, enable targeted action planning, and support proactive management</li> <li>Monitor and analyze performance across service quality, project manager satisfaction, efficiency, operational risk, and cost, highlighting trade-offs and providing strategic recommendations</li> <li>Use historical trend analysis and experimentation to uncover recurring issues, measure the impact of corrective actions, and drive continuous improvement</li> <li>Integrate third-party data sources and application programming interfaces into the analytics ecosystem to expand capabilities and enrich models</li> <li>Explore and implement modern cloud-native and distributed computing tools and methodologies to improve scalability, reliability, and reproducibility&l

<p><strong>ABOUT PROPRIETARY RESEARCH</strong></p> <p>On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions posed by our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within.</p> <p><strong>ROLE SUMMARY</strong></p> <p>Our Data Scientists conduct research through data mining and statistical modeling to discover insights from big data that are used by our investment professionals to make investment decisions. You will have the opportunity to work in a highly collegial environment that emphasizes teaching and learning as a team. In this role, you will:</p> <ul> <li>Tackle the challenges of featuring and modeling large unstructured data using machine learning and statistical techniques</li> <li>Manage all aspects of the research and analysis process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring</li> <li>Deliver research findings to investment teams, portfolio managers, and other internal clients</li> <li>Work within a team to help drive technical innovation through a collaborative R&D process</li> </ul> <p><strong>WHAT EXCITES YOU</strong></p> <ul> <li>Staying current on the evolving alternative data market and its role in discretionary investing</li> <li>Speaking with experts both inside and outside the Firm to understand data needs and offerings</li> <li>Multi-tasking and switching gears frequently to address the needs of the business</li> <li>Analytical thinking and ability to sift through large unstructured data sets</li> <li>Working in a fast-paced, dynamic environment</li> <li>Working as part of a cross-functional team made up of investment, research, and compliance professionals</li> <li>Experiment-based approach with freedom to innovate</li> </ul> <p><strong>WHAT EXCITES US</strong></p> <ul> <li>Excellent attention to detail, organization, and project management skills</li> <li>Strong verbal and written communication skills</li> <li>Superb business intuition and a solution orientated, methodological approach to problem solving</li> <li>

<p><strong>ROLE</strong></p> <p>We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.</p> <p>Cubist’s Data Services (CDS) group is looking for a 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.</p> <p>As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. </p> <p><strong>RESPONSIBILITIES </strong></p> <ul> <li>Onboarding novel datasets from a huge variety of sources into our platform</li> <li>Building processes, tools and frameworks to ingest, clean and deliver datasets</li> <li>Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams</li> <li>Creation of in-house, value added, derived data products for consumption by investment teams</li> <li>Engaging with vendors and internal stakeholders to understand characteristics of datasets</li> <li>Partnering closely with investment teams to ensure their data requirements are met</li> <li>Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams</li> </ul> <p><strong>REQUIREMENTS </strong></p> <ul> <li>PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis</li> <li>Strong programming skills in Python and SQL</li> <li>Experience working with AWS, Linux and Airflow preferred but not required</li> <li>5+ years of experience as a Data Scientist or similar role</li> <li>Experience working with large data sets including predictive modeling</li> <li>Financial industry experience preferred but not required</li> <li>Strong organization, communication and interpersonal skills</li> <li>Intellectual curiosity and enthusiasm for learning</li> <li>Attention to detail and a love of processes</li> <li>Strong oral and written communication skills</li> <li>Ability to multitask and prioritize assignments</li> <li>Commitment to the highest ethical standards</li> </ul>