Science Engineer Salary in New Jersey

About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them

Job Description Job Description **Amentum is a leading provider of engineering, scientific, and program management support services. We are at the forefront of breakthrough technology development and demonstration programs in multiple areas, including hypersonics, Unmanned Air Vehicle and Autonomous Systems, advanced sensors, propulsion, aircraft and space science systems.** Do you have experience in the Space Science Industry? Any of the areas below could provide you the opportunity to join professionals at Amentum supporting the Defense Advanced Research Projects Agency (DARPA). + Satellite and Space Technology + Satellite Manufacturing & Acquisition + System Engineering + Space-based Sensing + Space Domain Awareness Technologies and Capabilities + Position, Navigation and Timing (PNT) + Orbital Mechanics + Electric Propulsion + Communications + Materials + Environmental Effects + Ground Support Systems and Operations + Satellite Assembly, Integration and Test + Launch Services and L

We are looking for 2-3 Principal level AI / Data Science engineers to work with one of our leading Medical Device organizations within the greater Chicagoland area on a hybrid basis. The organization are currently expanding their Data Science offering, looking for a number of individuals to help drive the direction of new products, processes, standards, or operational plans based on business strategy. The individual would be responsible for managing large scale projects or processes, as well as being a technical specialist. Key requirements include but are not limited to: Significant Programming Skills, particularly Python Experience developing in AWS / AWS Sagemaker Ability to build MLOps pipelines Experience with popular MLOps frameworks. Open-source like Kubeflow, MLFlow. Or commerical like Comet ML. or AWS Sagemaker Experience in Deep Learning Computer Vision, specifically in manufacturing environment There is also a significant benefit if you come from a Medical Device or Pharmace

The successful applicant to this position will utilize a multi-disciplinary skillset to support evaluations and demonstrations of building systems and technologies, and grow into developing, proposing, and leading research projects independently. Your work will cover a wide range of topics and technologies with projects at field sites and at Frontier Energys Building Science Research Laboratory. Depending on your experience and interests, this may include: planning, conducting, and managing research projects. monitoring and evaluation (M&V) and test plans. labor and equipment cost estimates. instrumentation and equipment. test activities between Frontier staff, building owners, contractors, and clients to facilitate project activities including installation and removal of test equipment. the performance of both static and dynamic systems in commercial buildings, houses, laboratories, and laboratory houses. and maintaining data acquisition systems. installing, and commissioning instrume

We are looking for 2-3 Principal level AI / Data Science engineers to work with one of our leading Medical Device organizations within the greater Chicagoland area on a hybrid basis. The organization are currently expanding their Data Science offering, looking for a number of individuals to help drive the direction of new products, processes, standards, or operational plans based on business strategy. The individual would be responsible for managing large scale projects or processes, as well as being a technical specialist. Key requirements include but are not limited to: Significant Programming Skills, particularly Python Experience developing in AWS / AWS Sagemaker Ability to build MLOps pipelines Experience with popular MLOps frameworks. Open-source like Kubeflow, MLFlow. Or commerical like Comet ML. or AWS Sagemaker Experience in Deep Learning Computer Vision, specifically in manufacturing environment There is also a significant benefit if you come from a Medical Device or Pharmace

Data Science Engineer We are seeking a talented Data Science Engineer to join our team and contribute to the development and implementation of advanced data solutions using technologies such as AWS Glue, Python, Spark, Snowflake Data Lake, S3, SageMaker, and machine learning (M/L). As a Data Science Engineer, you will play a crucial role in designing, building, and optimizing data pipelines, machine learning models, and analytics solutions. You will work closely with cross-functional teams to extract actionable insights from data and drive business outcomes. Essential Functions and Responsibilities: and maintain ETL pipelines using AWS Glue for data ingestion, transformation, and integration from various sources. Python and Spark for data preprocessing, feature engineering, and model development. and implement data lake architecture using Snowflake Data Lake, Snowflake data warehouse and S3 for scalable and efficient storage and processing of structured and unstructured data. SageMaker