Computer engineer jobs in Hoboken, New Jersey - Page 11Create job alerts

Electrical Engineering, Computer Science and Engineering, Physics or a related field. Performing engineering and computer science analyses related to ongoing Exponent work. Electrical Engineering and Computer Science Practice.

As the Computer System Validation Engineer, you will manage, develop, and support the technology infrastructure that powers Kuehne+Nagel's global systems and operations. Are you ready to advance your career with one of the most successful logistics organizations worldwide? At Kuehne+Nagel, we are se

As the Computer Systems Validation Engineer you will manage, develop, and support the technology infrastructure that powers Kuehne+Nagel's global systems and operations. Are you ready to advance your career with one of the most successful logistics organizations worldwide? At Kuehne+Nagel, we are se

Electrical Engineering, Computer Science and Engineering, Physics or a related field. Performing engineering and computer science analyses related to ongoing Exponent work. Electrical Engineering and Computer Science.

Dynamics 365 / Power Platform &.Altai Systems delivers association-specific CRM software built within the Microsoft Dynamics 365 CRM platform.We are seeking a Dynamics 365 / Power Platform &.NET Web Developer who is eager to learn and grow while contributing to both our back-office CRM solutions and

Establish engineering best practices and help reduce technical debt as we scale. Contribute to the architecture and implementation of the computer vision stack from research to production. Master's or PhD degree in Machine learning / Computer vision.

Systematic and pragmatic engineer, balancing business sense of urgency with engineering excellence. Help build a culture of innovation and engineering excellence by providing guidance to a team of machine learning engineers. Evaluate and work with vendors to ensure product deliverables and engineeri

Bachelor’s degree in a highly numerate field (Computer Science, Mathematics, Statistics, Engineering, Economics, or related). Define and evolve the technical architecture for modern personalization systems (feature pipelines, candidate generation, ranking, feedback loops), partnering closely with

We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. You’ll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activa

Work with a cross-functional team of data scientists, engineers, and functional stakeholders to develop and enhance systems and data that support Finance and/or Accounting. Background with both finance and technical experience, with a degree in finance, accounting, information systems, mathematics,

Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources. Experience with Prompt engineering- Chatbots and virtual assistants

You’ll work with other data scientists, data engineers, and product managers to improve the logic and systems we use to rank providers and power our recommendations. Collaborate across product, engineering, and operations teams to solve open-ended business problems with data-driven solutions. Bach

Oversee the creation of a modern, best-in-class data science infrastructure, partnering with engineering. MS or higher in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful.

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care.In accordance with New York City, Colorado, California, and other applicable laws,

We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.

PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes

You will work closely with our project managers, engineers, and other team members to develop data-driven solutions that will improve our processes and drive business growth. Collaborate with project managers and engineers to develop data-driven solutions that improve project efficiency and quality.

We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership thro

Your work will be hyper cross-functional, sometimes driving forward technical projects in partnership with an engineer, other times leading an operations workstream. With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General

We bring together strategy, design, and engineering to help our clients transform their businesses and stay ahead of the curve in a rapidly evolving landscape. Mentor and guide a team of data scientists and data engineers; set best practices for modeling, experimentation, and validation. Collaborate

Join the Nalley Consulting team as a Data Scientist at DIA Headquarters.DIAC, Joint Base Anacostia Bolling.Experience with statistical and general-purpose programming languages for data analysis.Experience with developing predictive data models, quantitative analyses, and visualization of target dat

Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field). Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships.

Experience in data preprocessing, feature engineering, and model evaluation. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred.

Alexander Group: Decades of experience growing revenue for global companies.Alexander Group provides management consulting services to the world’s leading organizations.When clients need to grow revenue, they look to Alexander Group for data-driven insights, actionable recommendations, and most im

Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company to develop and improve monetization tools for creators. Degree in data science, computer science, statistics, economics, mathematics, or a similar

You’ll collaborate closely with a data engineering partner, who ensures pipelines and datasets are automated, clean, and reliable, while you focus on analysis, modeling, and insight generation. Collaborate with a data engineering partner to ensure fast, clean, and reliable access to datasets. Mast

Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Pomelo Care.In accordance with New York City, Colorado, California, and other applicable laws,

Collaborate with the data and engineering teams to develop scalable data pipelines and transforms that power both client deliverables and internal operations. Exceptional ability to present complex analytical insights to diverse audiences, from software engineers to C-suite biopharma executives.

Excel at turning findings into actionable next steps and working with engineering to execute.

As a Data Scientist, you will partner with market data specialists, data engineers, and sector data analysts to ingest, clean, and explore new data sources, building a comprehensive understanding of each dataset and its potential applications. Deep understanding of feature engineering, model trainin

In this senior role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. By enabling high-fidelity, multi-physics simulation thr

We started Graphite because we missed internal code review tools like Phabricator (at Facebook) and Critique (Google) that help engineers create, approve, and ship small, incremental changes, and long-term we’re passionate about creating products & workflows that help fast-moving eng teams achieve

Master’s or PhD in Machine Learning, Computer Science, Optimization, Statistics, Engineering, Applied Mathematics, or a related quantitative field; or equivalent high-impact industry experience. Build reusable modeling infrastructure, libraries, and best practices, enabling faster iteration and hi

You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. Partner with product, engineering, and UX to develop data-driven product strategies.

Persivalenic Demo Company is looking for an Intermediate Computer Data Scientist to join our team! We are looking for a candidate who is passionate about leveraging data and machine learning to create innovative solutions. Bachelor’s degree in a related field (Computer Science, Statistics, etc).

You will collaborate with cross-functional teams of engineers, research scientists, product managers, and tech leads to ensure that we are making product and technology decisions grounded in data.

Advanced degree in Data Science, Statistics, Computer Science, or related field.

You’ll conduct quantitative research to inform product strategy and opportunities, design metrics to help track goals and make decisions, devise learning methods (including experiments) to test hypotheses, and work closely with our machine learning and data engineering teams on building MVP user-f

Work closely with Product, Engineering, Design, Research, Sales, Marketing, and Finance to drive measurable impact.

Gauntlet leads the field in quantitative research and optimization of DeFi economics.We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols an

Partner deeply with Product, Engineering, and Finance. Advanced Quantitative Background: Master’s or PhD in Economics, Statistics, Applied Math, Computer Science or equivalent high-impact industry experience.

You’ll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data. Collaborate cross-functiona

Collaborating closely with our engineering and technology teams, the Data Scientist will build predictive models, measurement algorithms, and deep analyses to provide insights for optimizing our business. Computer Science, Mathematics, Physics, Data Science, etc.

A degree in Computer Science, Mathematics, Statistics, or a related field is preferred. Experience in data preprocessing, feature engineering, and model evaluation.