The Project Manager will work closely with internal stakeholders across IT and business operations, system integrators, vendors, and subject matter experts to ensure successful execution and delivery of DERMS-related capabilities supporting grid reliability, operational visibility, and distributed energy optimization. June 3, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
p>Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth management by building tech-forward solutions that help simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech software enables us to support clients such as Stash, Betterment, SoFi, Webull, and eToro, amongst many others; collectively, Apex powers access to the stock market for over 22+ million end customers.
Jersey City, NJ9 days ago
The ideal candidate will have strong experience in end-to-end Java development, big data ecosystems, and performance engineering and a proven ability to design and implement target architectures, optimize data-intensive applications, and lead migration to strategic platforms. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
Manager level is expected to be between $131,035 and $196,553 annualized; final salary will be determined based on various factors including, but not limited to, years of relevant experience, job knowledge, skills and proficiency, degree/education, and internal comparators. Manager, GMP QA Clinical will be responsible for supporting and maintaining high quality levels on Agios Drug Substance, Drug Product, packaged Drug Products and finished goods by Contract Manufacturing Organizations (CMOs).
Jersey City, NJ29 days ago
The ideal candidate will have strong experience in UI and database test automation, complex SQL, Unix, and Agile delivery and a proven ability to design, execute, and automate comprehensive test suites that ensure high-quality releases. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
For utility or power systems environments, support analysis related to operational workflows, outage management, grid operations, asset management, system integrations, or related business processes. Preferred Qualifications:Experience working in electric utility, transmission, distribution, outage management, energy management, asset management, or related power systems environments.
Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development & causal inference, to enable better & more rapid decision making.
The successful candidate will join a group of innovative analytical scientists with broad deliverables to support commercial pharmaceutical products, ensuring an undisrupted supply of our company products to patients globally. Bachelor's Degree (BS) in Chemistry or related discipline with at least seven (7) years of relevant pharmaceutical development experience, OR Master's Degree (MS) in Chemistry or related discipline with at least five (5) years of relevant pharmaceutical development experience, OR PhD in Analytical Chemistry or related discipline.
About the role : Own end-to-end scalable machine learning models for risk assessment, forecasting, anomaly detection, customer clustering, natural language processing and other key finance initiatives. Analyze complex datasets of structured & unstructured data using advanced analytics to generate actionable insights; communicate findings through impactful reports and presentations.