Imply jobs

FUL- Budget Technician Kula, Hawaii Summary This position is located in Haleakala National Park, in the Maintenance and Interpretation Division. Open to the first 75 applicants or until 06/18/2026 whichever comes first. All applications submitted by 11:59 (EST) on the closing day will receive consideration. Duties Career-Seasonal appointments are permanent positions and include the same benefits as Career appointments, but do not provide work on a year-round basis. You will work 11.5 months and will be in a non-pay status for at least one pay period in March. As a Budget Technician, duties may include: Consolidating budget estimates from the unit's program managers, and organizing budget data according to account, object class, and program activity. Maintaining and updating annual operating programs. Researching accounting problems such as incorrect accounts, erroneous payments, object class errors, and ensures corrections and/or adjustment documents are entered into the accounting system. Providing technical expertise and training to personnel in accounts receivable, accounts payable, reimbursements, voucher preparation and examination, and preparation of financial reports. Adjusting programmed amounts to reflect changes in approved funding (e.g., increases in salaries, across-the-board reductions, etc.) by applying standard percentage adjustments. This is a career-ladder position, however, promotion to the full performance level is neither guaranteed nor implied and will be based solely on your ability to satisfactorily perform the work of the position, existing work at the higher grade level, and recommendation by the position's supervisor. Duties will be developmental in nature when filled below the full performance level. Full-performance grade level

Marketing Data Scientist Gurugram, Haryana, India Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. As a Data Scientist in the Marketing team, you will drive key measurement and analytics programs that deliver a scaled impact for Google Marketing across media campaigns. You will support your team by delivering pieces of project work including supporting the implementation of data science solutions, supporting the improvement of data pipelines, running geo-experiments or Marketing Mix Models (MMM) or helping your team develop evaluation metrics that provide insights to the business. You will own measurement and define milestones, provide direction for agencies/vendors, delegate, prioritize, plan, and direct a group of people to drive the project to completion. You will play a strategic and technical role in driving all things media, marketing, analytics, and partnering with internal teams to evaluate strategic initiatives. You will create innovative solutions to demonstrate the effectiveness of Google's media investment. At Google-scale, this implies working on our industry's toughest challenges. You will maintain global consistency, while keeping regional focus. You will be working with teams operating across regions and marketing entities. Use your knowledge of

Payroll Accountant Payroll Accountant with knowledge of Czech/SlovakHR BS Payroll Accountant Payroll Accountant with knowledge of Czech/SlovakHR BS | Country Ukraine UA, Lviv Hybrid work for Lviv-based candidates, remote for other Ukrainian locations. Nestlé Business Services (NBS ) is a global team delivering smart, efficient solutions that keep Nestlé running worldwide. We combine technology and collaboration to simplify processes and create real business value. Discover more about us and explore career opportunities - About us Are you ready to join a multinational company and a dynamic team? We're excited to offer an opportunity for Junior Payroll Accountant to join our HR BS . Key requirements: Minimum 1 year of experience in accounting or finance or data analytics or positions, that involved payroll related activities or data analysis; alternatively, experience in HR administration might also be considered positively A university degree either in Economics or Accounting or Finance or Data Analysis; alternatively, other degrees that imply at least certain experience with data analysis are welcome as well (for example, Marketing or Applied Linguistics) Good knowledge of English (both oral and written, a confident B2 level is required at the very least to be considered for this position, any higher level is of course more than welcome); Good knowledge knowledge of Czech/Slovak language is nice to have (is not necessary to confidently carry out the main responsibilities, but could be considered as an additional advantage, should the candidate bring this skill); Experience in working with big volumes of data (extraction from the

Lead Crude Quantitative Risk Modeler Alternate Job Posting Location | Job City/State About us What role you will play in our team We are looking for qualified and highly experienced individuals with strong credentials to support and advance ExxonMobil's Risk Management function. A member of the Quantitative Risk team which is part of the Trading Risk & Compliance organization, the successful candidate will help support ExxonMobil's Upstream Gas & Power as well as Downstream Crude & Products trading activities. What you will do Develop, validate, maintain quantitative valuation models of Crude Oil markets. Develop, validate, maintain and support risk management models for Trading Strategies, Risk Management, Real Options Valuation, and Simulation of Forward Curves. Conduct quantitative analysis of structured deals to support market-based asset valuations and design hedging strategies. Apply advanced statistical analysis into the design, analysis, implementation, and refinement of scenario analysis and stress test methodologies and tools. Model and estimate volatilities and correlations, both historical and implied. Provide recommendations for improvement and enhancement of risk management models Effectively communicate recommendations on complex topics to a variety of constituents, including Management, Traders, Originators and Risk Management. Work on Quantitative Analysis topics as required based on evolving needs of this dynamic Risk organization About you Your benefits Stay connected with us Functional Skills Energy Commodity & Derivative Trading Energy Ri

Member of the Technical Staff, Biological Data New York HQ 🗽 | Remote The Role Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. You will own the data that our models learn from. This role requires a deep understanding of molecular biology - what a biological data source contains, what it implies, and what is missing. The quality and coverage of training data determines what our models can learn, and the biological insight behind how that data is constructed is the difference between a model that memorizes and one that reasons. - You will construct training datasets that capture how proteins and molecules interact, drawing from diverse biological data sources and extending them with your understanding of molecular principles - You will develop methods to expand training data beyond what exists in public databases, using biological and chemical reasoning to create new training signal where current data is sparse or absent - You will design benchmarks grounded in real molecular phenomena, measuring whether