Responsible for Radar Receiver Exciter data analysis and calibration, integration of hardware with firmware and software, and resolving system level issues that may stem from software or hardware anomalies.

At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.

Radar Receiver Exciter integration and test engineers are the liaisons between many Radar system components and are responsible for Radar Receiver Exciter data analysis and calibration, integration of hardware with firmware and software, and resolving system level issues that may stem from software or hardware anomalies.

This involves the development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS, RTU), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the client’s facility.

The Data Engineer II occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. Proficient with AWS Big data services (Glue, Athena, Redshift, Lake formation, Lambda.

For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.

The Senior Medical Science Liaison is a field-based, external customer-facing member of the US therapeutic area medical unit team, responsible for analyzing, interpreting and disseminating scientific data, acquiring and translating customer insights, fostering external expert networks, and compliantly connecting customers to Takeda in order to advance medical strategy and improve patient outcomes.

With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and grow—across product categories and geographically.

Our team is part the Research, Applied, and Data Science organization within Amazon Robotics, a hub to foster innovation and support scientists across Amazon Robotics. You would join our Movement Science team that includes scientists with backgrounds in planning and scheduling, machine learning, and robotics.

Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.

Minimum Qualifications (Required):Education: Bachelor’s degree in the social sciences, computer science, business or related field (Master’s preferred) Experience: Minimum of five years of demonstrated responsibility and professional experience in computer programming, data extraction, reporting and analysis with a minimum of two years of experience with working with descriptive statistics, large data sets, and quantitative research methods.

Preferred majors: Electrical Engineering, Computer Science/Engineering Technology. The ability to interpret and analyzer RF parametric data. Empower production test engineer to resolve complex failures through data driven troubleshooting technique.

As the Chief Technology Officer, you will be overseeing the entire engineering, data science and product team. Define programs in areas including security and data. As the Chief Technology Officer, you will be overseeing the entire engineering, data science and product team.

Establish, document and publish QA and release operations policies and procedures including release calendar, testing procedures and results, continuous improvement processesRepresent IT Technical Shared Services function on all internal boards and committees such as Change Advisory Board, Architecture Review Board, and Data CoE, IT Demand Intake CommitteeWhat you’ll bring:Bachelor of Science in Computer Science, Information Technology, or a related field.

BS degree in Biochemistry or related Life Science and/or 3-5 yrs. Record, document, and summarize calibration and testing data. Title: Equipment QC Analyst II. BS degree in Biochemistry or related Life Science and/or 3-5 yrs.