Title: Senior Staff Data Scientist Location: New York, NY Job Description: Full time job requisition id JR101139 About Grubhub At Grubhub, we believe food is more than just a meal: It’s a source of discovery, connection, and pure enjoyment. There’s a time and place for every type of dish, from hidden neighborhood gems to tried-and-true favorites, and we exist to connect people with the food they love in all the ways they like to dig in. We’ve been at it since 2004, but now, as part of Wonder, Grubhub is operating with a renewed sense of momentum and the high-velocity energy of a powerhouse startup. As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience. We are constantly finding new ways to innovate—from integrated grocery delivery with groceries powered by Instacart to exclusive loyalty programs. Join our team, based out of New York City, Chicago and Denver, and help us give our diners the exceptional value they deserve. About the Opportunity At Wonder Data Science, our mission is to build data science and machine learning systems that improve how our marketplace operates, how customers experience the platform, and how the business makes high-quality decisions. As a Senior Staff Data Scientist, you will go beyond individual problem solving — you will help shape the strategic direction of applied data science, mentor senior and junior scientists, and collaborate closely with engineering, product, operations, and business leaders to move our ML and analytics capabilities toward scalable, production-grade systems. You will identify high-leverage opportunities across the business, including marketplace efficiency, customer experience, ETA accuracy, fulfillment reliability, pricing strategy, supply planning, demand forecasting, and operational performance. You will design statistically rigorous frameworks to understand causal impact, separate signal from noise, and guide business strategy through experimentation, measurement, and principled inference. You will help define how we structure trade-offs like customer experience vs. operational efficiency, speed vs. cost, prediction accuracy vs. business impact, short-term metric movement vs. long-term marketplace health, and automation vs. human judgment. You’ll prototype, experiment, influence architecture, and ensure we operationalize models and insights that actually move business metrics — not just analyses that look good offline. The Impact You Will Make - Serve as a technical thought leader in Data Science — defining principles, frameworks, and best practices for how Wonder uses data, experimentation, and machine learning to improve customer, marketplace, and business outcomes. - Mentor and coach a growing team of Data Scientists and contribute to career development and technical excellence across the group. - Lead the exploration of interconnected marketplace systems, recognizing feedback loops between customer behavior, fulfillment reliability, ETA accuracy, pricing, supply planning, product experience, and business performance. - Develop causal inference and experimentation frameworks that help Wonder understand which product, operational, and marketplace changes truly drive business impact. - Partner with engineering to drive architecture decisions for shared data layers, feature pipelines, modeling APIs, experimentation infrastructure, and production ML services. - Define and implement robust experimentation strategies for changes that move business metrics in high-noise environments. - Champion business-impact-driven data science, integrating causal inference, experimentation, risk-aware modeling, and scalable production ML systems that learn and adapt. What You Bring to the Table - 8+ years of industry experience with MS or 6+ years with PhD in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Machine Learning, or a related quantitative field. - Proven experience applying data science and machine learning to complex business problems, such as marketplace optimization, customer experience, forecasting, personalization, pricing, supply/demand balancing, operational policy changes, or product experimentation. - Deep expertise in causal inference, experimentation, and statistical modeling, including methods such as A/B testing, difference-in-differences, regression discontinuity, instrumental variables, synthetic controls, uplift modeling, or causal impact analysis. - Strong intuition for business and product trade-offs — customer experience vs. efficiency, ETA confidence vs. conversion risk, fulfillment reliability vs. cost, marketplace growth vs. quality, and short-term optimization vs. long-term health. - Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code using object-oriented design. - Demonstrated ability to take data science, ML, or causal inference systems into production, partnering with engineering on architecture, deployment, and monitoring best practices. - Fluency in SQL or similar tools for directly interrogating production-scale datasets. - Experience mentoring and providing technical direction to other scientists, analysts, or engineers. Got These? Even Better - Experience leading end-to-end design of data science, machine learning, measurement, or experimentation frameworks within marketplace, consumer product, fulfillment, logistics, pricing, forecasting, or operations systems. - Experience designing causal measurement strategies for complex systems where product, marketplace, and operational decisions interact across multiple layers. - Background in causal inference, econometrics, Bayesian modeling, experimental design, or observational measurement in high-noise environments. - Experience with applied experimentation frameworks, including A/B testing, power analysis, heterogeneous treatment effects, guardrail metrics, interference effects, and long-term impact measurement. - Experience building or influencing production ML systems that combine predictive modeling, causal measurement, experimentation, and business rules - Influence across disciplines — able to align product, engineering, operations, business, and data science around a cohesive ML, experimentation, and measurement strategy. - Experience defining strategy and technical roadmaps for data science, machine learning, experimentation, or causal inference platforms. Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome—and encouraged—to be in the office up to 5 days a week if it works for you. #LI-Hybrid New York: $240,000 - $249,500 per year. Illinois: $216,000 - $224,500 per year. Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience. Benefits We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.  A Final Note At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know. We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.

Title: Principal Environmental Scientist - Environmental Impact Assessment Location: Darwin, NT, Australia Employees work in a hybrid modeFlexible WFH or office options State/Province: Northern Territory Business Group: DCS Legal Entity: AECOM Australia Pty Ltd Business Line: Environment Work Location Model: Hybrid Operating Group: International Primary Location: AU - Darwin, NT - 19C Kitchener Driv Job Description: "The unique culture at AECOM is built on trust, communication, and encouraging consistent growth through unique development opportunities. It's the combination of open dialogue and transparency that makes me genuinely appreciate working at AECOM." - Dane Mallinson, Sector Manager GRS Come grow with us AECOM's environmental practice is dedicated to helping clients and government to develop critical infrastructure for energy transition, maritime growth, and Defence capability, while protecting the natural environment and meeting their environmental responsibilities. We provide advisory and technical services to mitigate impacts, safeguard compliance, and proactively reduce risks by influencing design, engaging regulators and tackling climate resilience to secure long-term solutions and workable approvals. We focus on preserving habitats and cultural resources, protecting water quality and community values, and promoting a holistic approach to environmental impact assessment at every project stage. Join our multidisciplinary team providing strategic environmental advice, design optimisation, impact assessment, and management planning to facilitate approvals for the NT's strong economic growth. In this role, you will lend your strengths to technical excellence in project delivery, proactive client engagement and work winning, collaboration and mentoring supporting positive team culture and high performing work environment across NT and national Environment business line. Job Description How you'll make a difference - Environment lead for high profile projects to secure State and Commonwealth approvals in collaboration with clients and cross-business line teams - Self-starter and driven to effectively manage delivery of complex Environmental Impact Assessment and approvals, including coordination of multidisciplinary technical teams, impact assessment and approval processes - Lead and review environmental approvals, impact assessments, and management plans across a diverse range of projects and environmental services, ensuring technical excellence and compliance - Proven technical leadership and confidence managing multidisciplinary technical teams to identify risks, solve problems, communicate change through planning, design and approval processes - Manage project resources and schedule, delegating activities, monitoring and managing project budgets (with support as required) - Leading business development activities, including proposals Qualifications The qualities that help you thrive The following qualifications and experience are highly desired, but if you don't tick all the boxes you could still be a perfect fit for this role. Please apply, all applications will be considered. - Bachelor's degree in Regional/Urban Planning or Environmental Planning, Science or Engineering - 12+ years relevant environmental assessment and approvals experience in a consulting environment (desirable) - Demonstrated experience leading successful application of Commonwealth and State planning and environmental legislation on major projects - Proven business development skills: client engagement, pipeline building, and proposal leadership - Commercial acumen and experienced project manager, with advanced skill in schedule, resource and budget management - Ideally, established networks across the NT market and Northern Australia and familiarity with key client project frameworks - Excellent communication: clear report writing, compelling presentations, and confident engagement with clients, regulators, and communities Additional Information Why you'll love working with us - Flexible work arrangements, including alternative start/finish times, part-time, job-sharing and hybrid work options - Purchase up to 6 weeks additional annual leave per year - Volunteer and representation leave - Flex public holidays - swap Easter or other holidays for ones that suit you better Ready to push the limits of what's possible? We welcome applications from individuals of all backgrounds, including those with disabilities, additional health or mental health needs, and/or neurodiverse conditions. If you require any adjustments during the hiring process, please let us know. Applications are reviewed as they come in, and the role may close earlier than expected, so if this opportunity sounds like you, we encourage you to apply as soon as possible. At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment. AECOM acknowledges the Traditional Owners and Custodians of the lands on which we, our clients and our communities live and work around Australia. We pay our respects to their cultures and to their Elders - past, present, and emerging. We are committed to connecting to Country in our work through meaningful engagement with First Nations peoples and businesses. About AECOM AECOM is the world's trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle - from advisory, planning, design and engineering to program and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public- and private-sector clients trust us to solve their most complex challenges. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. Freedom to Grow in a World of Opportunity You will have the flexibility you need to do your best work with hybrid work options. Whether you're working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a culture of equity, diversity and inclusion - a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients. AECOM provides a wide array of compensation and benefits programs to meet the diverse needs of our employees and their families. We also provide a robust global well-being program. We're the world's trusted global infrastructure firm, and we're in this together - your growth and success are ours too. Join us, and you'll get all the benefits of being a part of a global, publicly traded firm - access to industry-leading technology and thinking and transformational work with big impact and work flexibility. As an Equal Opportunity Employer, we believe in each person's potential, and we'll help you reach yours.

Develop medical plans and engage with experts to acquire scientific input. Perform medical data reviews, analyze data trends, and manage project scope to ensure timely delivery of high-quality results. Collaborate with cross-functional teams to address...

Develop medical plans in collaboration with the Medical Director, perform medical data reviews, and manage project scope and objectives while ensuring compliance with regulatory guidelines and effective communication across cross-functional teams.