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CITY RESEARCH SCIENTIST - 21744. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical biological environmental or social science and one year of full-time experience in a responsible supervisory administrative or research capacity in the

Job DescriptionJob Description The Agency You’ll Join: The New York City Mayor’s Office is responsible for overseeing city services throughout the five boroughs, coordinating public agencies and departments, and managing public property. The administration is leading the fight in making the city more affordable, reducing inequality, improving public safety, ensuring delivery of efficient and effective services, and working to make New York City’s economy stronger. We value leadership, transparency, fairness, and efficiency as we actively seek diverse talents from various sectors to join our team The Team You’ll Work With: The Mayor’s Office of Climate and Environmental Justice (MOCEJ) is a team of architects, lawyers, data and climate scientists, engineers, policy advisors, geologists, and city planners working to create a city where our 8.8 million New Yorkers can live, work, learn, and play in healthy, resilient, and sustainable neighborhoods. MOCEJ integrates sustainability, resiliency, and environmental justice into one coordinated approach across several climate and environmental offices, all working to make our buildings efficient and resilient; our infrastructure climate-ready; our streets, open spaces, and public realm active, safe, and healthy; and our energy clean and resilient. All New Yorkers deserve safe, healthy, resilient, and sustainable environments, even as the climate changes. MOCEJ is committed to improving environmental quality for all, prioritizing front-line communities, seeking to redress current and past injustices and inequities while creating economic opportunities for all. Through science-based analysis, policy and program development, and capacity building, MOCEJ leads the City’s efforts to ensure that New York City is minimizing its contributions to climate change, preparing to adapt and protect New Yorkers from extreme weather and multiple climate hazards, and giving every New Yorker a meaningful voice in our city’s future. The Problems You’ll Solve: On the team led by the Deputy Executive Director for Planning, Adaptation and Environmental Justice, the Climate Science Advisor oversees climate science research and analysis at MOCEJ, including the development of data analytics tools to drive decision-making and detection of climate risks related to torrential rain, coastal flooding, extreme heat, and other climate threats. The Climate Science Advisor will work closely with MOCEJ staff on monitoring and updating climate and environmental data that informs various data products, such as the Environmental Justice NYC (EJNYC) report and mapping tool, energy use and affordability, and methodologies that track emissions and other air quality issues. The responsibilities of the Climate Science Advisor include the following: • Lead climate data analytics to drive decision-making and inform climate policy for MOCEJ, partners in government, and external stakeholders., • Develop and manage innovative products and services that visualize data, concepts, and other actionable information, as well as build internal capacity to use scientific evidence in ongoing policymaking, planning, and operations. Support exploration and advancement of new data products, such as digital twins, scenario modeling platforms, and decision-support tools in line with emerging climate science., • Convene the New York City Panel on Climate Change (NPCC), which comprises academic and research partners appointed to develop novel climate science research. In partnership with the NPCC Co-Chairs, the Climate Science Advisor will align the panel’s efforts with City policy and decision-making, strengthen engagement and participation in climate assessments, and clearly communicate climate science and risks to agency partners, advocates, researchers, and the public. The Climate Science Advisor will provide support to ensure the NPCC on workplans, deliverables, budget, consultant management, and will ensure alignment of the NPCC’s scientific outputs with MOCEJ’s strategy and policy priorities., • Manage the office’s data tools and products to identify and analyze geographic, racial, and socioeconomic disparities of climate risks and environmental justice impacts, including the Environmental Justice NYC report indicators and mapping tool and the Greenhouse Gas Inventory. This work will include tasks such as updates and methodological refinements to environmental justice risk indicators, including integration of cost burden, affordability implications, cumulative climate risk metrics, and other environmental justice considerations to better inform equitable adaptation policy and investment strategies., • Work with staff across the office to conduct new climate research projects that support MOCEJ’s policy goals, lead procurement for research in partnership with MOCEJ policy teams, and support key partners in developing proposals and cultivating new research projects; manage grant funding for climate research implementation. Past examples include engaging DDC’s Town+Gown program to develop and manage research scopes, as well as coordinating with non-profit partners on RainproofNYC., • Implement systems for monitoring and tracking relevant scientific and technical assessments, findings, and related press and responses, including leading engagement with academic researchers and other key stakeholders, and report on such efforts regularly to senior leadership, • Convene and manage diverse stakeholders to create a research agenda and develop data-driven policy for climate policy in NYC, including facilitating interagency working groups, engaging science and research institutions to create research agendas and develop data-driven policies, and engaging funders, including federal agencies, philanthropists, and foundations, to secure resources to carry out climate science initiatives., • Supervise and manage research fellows and interns as needed. About You: • You have experience in data analytics, including analyzing and synthesizing complex data and subject matter to produce descriptive statistics, charts and graphs, infographics, and data-rich maps., • You are fluent in GIS, JavaScript, Tableu, statistical, and/or data visualization software is critical. Experience conducting interviews and analyzing qualitative data is a plus., • You have a strong grasp of issues relating to climate change in a large urban setting. An understanding of climate issues facing New York City is a plus., • You are familiar with participatory research, citizen science, and co-production of knowledge., • You have demonstrated experience managing multiple contracts and coordinating priority research., • You can work with professionals from a variety of disciplines in the physical and social sciences, across a range of policy fields, and in different organizational settings., • You have experience leading and executing data and policy convenings, including agenda development, facilitation, follow-up, and evaluation., • You have experience setting clear objectives and timelines, balancing and adjusting to external factors and competing priorities, and inspiring individuals and teams to achieve outcomes and complete products., • You can participate in collaborative processes playing both supporting and leading roles, as needed, and be able to both listen and contribute when needed., • You can communicate complex ideas and translate highly technical information to diverse audiences in writing and meeting settings, and you are comfortable with public speaking., • You have a willingness to travel in the 5 boroughs and work after hours or on weekends, as required. Salary: The City of New York Office of the Mayor’s compensation package includes a market-competitive salary, equity for all full-time roles, and exceptional benefits. Our cash compensation range for this role is $109,565 – $120,000. Final offers may vary from the amount listed based on candidate experience and expertise, and other factors. CITY RESEARCH SCIENTIST - 21744 Qualifications 1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health. To be appointed to Assignment Level II and above, candidates must have: 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or, 2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or, 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. Additional Information The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Job Description About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission. Responsibilities include but are not limited to; • ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health., • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization., • Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training., • Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement., • Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs., • Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products., • Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving. Requirements • Master's or Ph.D. in a related field with a strong academic background., • Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models., • Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning., • Proficiency in data manipulation, feature engineering, and model evaluation., • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn., • Excellent communication skills and the ability to collaborate effectively within cross-functional teams., • A passion for continuous learning and staying updated with the latest trends and technologies in data science., • Strong problem-solving abilities and the capacity to translate complex data into actionable insights.Required knowledge of:, • Python, • SQL, • Cloud Platforms (GCP, AWS, Azure), • Data Warehouses (BigQuery, Snowflake, Redshift), • LLMs / AI APIs, • Git / GitHubNice to have:, • Data Transformation (dbt), • Semantic Layers (Cube, Looker, dbt Metrics), • TypeScript, • Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC sampling, posterior diagnostics., • Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement., • Marketing/advertising domain- understanding of attribution, media channels (paid social, search, display, video), campaign structures., • Nice to have - familiarity with adstock/saturation curves and budget optimization Our interview process includes, but is not limited to the following: • Excel and Typing Test We offer a competitive salary and benefits based on ability level, including: • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Bonus Perk - Seamless allowance Total compensation based on education, experience, and skills level ($90,900-$254,100) Level 1 - Possesses essential capabilities $90,900-$123,540 Level 2 - Possesses developing capabilities $123,540-$156,180 Level 3 - Possesses notable capabilities. $156,180-$188,820 Level 4 - Possesses strong capabilities. $188,820-$221,460 Level 5 - Possesses advanced capabilities. $221,460-$254,100 About WITHIN WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • Tik Tok Locations • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México AI-Assisted Screening NoticeAs part of our initial application review process, we may use an AI-assisted tool to help compare skills and job titles from your resume with the requirements of the role. This tool evaluates information based on contextual relevance and is used only to support our manual review process. It is not used to make hiring decisions.If you are a resident of New York City and would like to request an alternative evaluation process or a reasonable accommodation, please contact us at legal@within.co.

Job DescriptionCompany Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description About the Job The Nielsen Analytics practice advises the world’s largest and most influential advertisers, agencies, and media companies on how to make their businesses more successful. We are a team of consultants and thought leaders who bring Nielsen’s industry leading measurement products to life, providing actionable insights to help clients make better business decisions. The Commercial Lead is responsible for aggressively expanding Nielsen’s Analytics US revenue within the Digital vertical. You will own the full sales cycle—from identifying untapped opportunities to negotiating and closing complex technical deals with the world’s most influential tech companies. This individual will draw upon a deep understanding of industry and analytical capabilities to develop, pitch, and deliver a complete solution. We are looking for a rare hybrid: someone with the grit of a sales “hunter” and the brain of a data scientist. You don't just 'pitch' Nielsen; you develop and go to market with technical solutions that solve the industry's most complex measurement challenges. This person will collaborate with a group of cross-functional Nielsen leaders to ensure that Analytics solutions and sales strategies meet revenue, client and marketplace expectations. The ideal candidate will possess a demonstrated track record of delivering commercial success among large and sophisticated media & advertising clients. This person will have a solid understanding of Nielsen Audience Measurement products and the media & advertising ecosystem overall, including cross-channel media planning and measurement. Strong candidates will be highly analytical and show aptitude in consultative sales, client service, internal collaboration, and adapting within a dynamic, fast-paced environment. Job Responsibilities Deliver Commercial Success Own and consistently exceed an individual annual revenue quota for the Digital Publisher vertical Drive full-cycle business development—from prospecting to opportunity advancement to final contract negotiation and closing Have executive-level presence to hold your own with C-level clients both to represent existing Nielsen products and solution creatively and articulately on the fly, translating complex concepts into clear, revenue-driving client solutions Drive all forms of new business, including upsells, net new logos, and win-backs Strategically prospect and close new business by identifying client pain points and mapping them to Nielsen's advanced analytical capabilities Create, grow, and manage a robust sales pipeline within Salesforce software, with accurate revenue forecasting and delivery Lead Analytics Product Sales for Digital vertical Responsible for overall success, including commercial and strategic, for Nielsen’s US Analytics business among Digital clients, including the largest and most sophisticated tech companies in the world Develop and execute go-to-market strategy Collaborate with other Nielsen teams, including Account Management, Client Insights, Marketing, and Product Leadership to identify and execute new business opportunities Serve as Subject Matter Expert for all Nielsen Analytics solutions Qualifications Salesperson Extraordinaire: 5+ years of experience with a documented track record of exceeding sales quotas and closing six-figure-plus deals, ideally within media & advertising, consulting, SaaS, ad tech, measurement & research, or a related domain. Ad sales, media planning/buying, and prior agency or digital ad-seller experience a plus Analytical Mindset: Must be able to think and act creatively, analytically, and productively so as to create wholly new analytical solutions, sometimes in real time in high-stakes client meetings. Your brain will be the engine of Nielsen Analytics new product development and enhancement Bachelor’s Degree required. MBA or other Master's Degree a plus Commercial Fluency: Ability to link analytical methodologies directly to client ROI and business growth. Negotiation Skills: Experience negotiating and closing six-figure+ deals, including navigating client stakeholder, procurement, and legal processes Ecosystem Expertise: Deep understanding of the digital media & advertising landscape, including cross-channel advertising, social media, creators, programmatic, and “in the weeds” ad tech and identity (HEMs, cookie-deprecation, first-party data matches) Sales Mechanics: Proven ability to develop long-term client relationships and manage long-cycle, consultative sales engagements, rather than transactional sales of well-defined products. This person is not “pitching widgets”, they’re building and commercializing complex, next-gen solutions for the most important media companies in the world #LI-JM1 Additional Information This is a high-growth, quota-carrying role with a competitive commission structure designed for over-performers. Works from Nielsen New York (Manhattan) office at least 3 days per week Requires limited client and internal travel (up to 20%) Enabling your best to power a better media future. Holistic Rewards: We are committed to an inclusive benefits package that supports our employees and their families. This includes comprehensive health and wellness plans, a 401(k) with a Nielsen company match, and a generous paid time off policy. Depending on the role, additional benefits may include a company-provided vehicle and/or discretionary incentive/bonus eligibility. Compensation Transparency: The posted base salary range is a reasonable estimate that may be adjusted based on the final work location of the selected employee. Individual pay within the range is determined by factors such as experience, training, geography, certifications, and business needs. Beyond base salary, this role may be eligible for bonuses, equity, or other incentives. Nielsen makes hiring decisions without regard to disability status, protected veteran status, or membership in any other protected class. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS., • We'll never ask for payment or personal financial details. If anyone does, please don't share any information and let us know right away. If something ever feels off or you're unsure about a message, we'd much rather you double-check with us. You can always contact us directly through any of our social media channels. We appreciate your interest in joining CookUnity — and we care about keeping your experience (and safety) as genuine as possible.

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Product Manager, Surveys in our New York office. About the Role: You will be responsible for defining and driving the product architecture, prioritization, and roadmap for our survey products. This includes both current offerings and developing and launching greenspace products that leverage Applecart's proprietary data assets to create innovative survey-driven insights. You will work closely with the Vice President of Data Science and his team of data scientists and analysts to design, launch, and iterate on deeply insightful, statistically sound products our customers can't do without. This role will report to the Director of Product Management for Insights & Optimization. What You'll Do: • Define and lead the product vision for Applecart's survey offerings, including building out a robust unified data pipeline, integrating with data sources from other teams, and generating automated visualizations., • Own the product roadmap and prioritization process in close collaboration with data science, engineering, and reporting teams., • Transform lift, probability, statistical significance, crosstabs, and other statistical and survey concepts into clear, structured product packages that clients can easily digest., • Partner with reporting teams and engineering to deliver scalable, reliable data pipelines and platform services using technologies such as Databricks and PySpark., • Design the future of our survey deliverables, from static presentations to interactive UI environments., • Define and track success metrics that demonstrate impact on client satisfaction, usability, and messaging and creative selection., • Communicate product priorities, trade-offs, and timelines clearly across technical and non-technical audiences. Experiences and Capabilities You Bring: • 5+ years of experience in product management, with at least 3 years focused on data products, infrastructure, or enterprise SaaS environments., • Professional experience and/or familiarity with data science or survey work and theory, especially as a product manager., • Impeccable attention to detail and superior organizational skills; able to synthesize densely technical product features into coherent requirements as well as clear external-facing deliverables., • Ability to thrive in a highly dynamic environment where priorities can shift outside of planning periods., • Strong written and verbal communication., • Thoughtfulness about developing and communicating clear milestones (including non-technical ones) that take a product from proof of concept through launch., • Intellectual curiosity and openness to new ideas and robust (but friendly!) discussions with key stakeholders at all levels., • Eagerness to collaborate cross-functionally with both local and remote colleagues from a variety of personal and professional backgrounds., • Experience with Agile methodologies including working in sprints, daily standups, and refinement. Preferred qualifications: • Prior experience as a survey scientist or on a data-intensive client analytics team., • Understanding of end to end survey research workflow is a plus such as sampling, questionnaire design, data collection and analysis., • Proficiency in SQL, Python and R —enough to engage meaningfully with technical stakeholders and dive into data use cases. This is a hybrid role. Work from home on Monday and Friday and in Applecart's New York City office Tuesday through Thursday. Relocation assistance is not available for this position. Candidates must be based in or willing to relocate to the area independently. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 to $195,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 10X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

DCG is seeking a Social Scientist to support consumer and regulatory research programs for the U. This role involves designing, implementing, analyzing, and reporting on social science research projects focusing on tobacco regulatory science and public health.

Job Description About you: Are you interested in expanding a career in digital marketing? The WITHIN team is growing, and we're hiring for Digital Media Strategists who are willing to take the lead across multiple digital marketing channels to meet goals at the intersection of performance and branding. This is a unique opportunity in a rapidly expanding company. This role requires hands-on paid media experience (Meta, Google Ads, etc.) focused on driving conversions, revenue, or ROAS. This means managing and optimizing ad spend—not organic social, content, or engagement. If you haven't directly managed budget in paid channels, please apply to our Digital Media Buyer role instead. Responsibilities will include and are definitely not limited to: • Working with a portfolio of clients, • Optimizing account performance using data insights, A/B testing, and consumer research, • Client communication (written & verbal), • Working across multiple teams to design and execute marketing strategies that align with client goals and business objectives, • Producing meaningful marketing KPI dashboards and delivering cross channel performance reports with actionable insight, • Analyzing cross-channel performance data and extracting actionable insights, • Note, This is not a data scientist or analyst role, but the role does work regularly with data, including basic analyses & projections, • Implementing proprietary technology and best practices, • Delivering creative & copy recommendations to clients based on historical performance, • Working closely with, mentoring, and developing junior team members Qualifications and Experience: • At least 1–2 years of experience in Digital Marketing, preferably Facebook & Google Ads, is REQUIRED., • Please see here for our opening for the role that does not require any prior experience, • Bachelor's Degree or equivalent experience, • General business acumen, • Desire to work in a deadline-oriented environment, • Interest in pursuing a career in performance oriented digital marketing, • Working knowledge of Excel (conditional statements, pivot tables and vlookups), • Full professional proficiency (written and spoken) of the English Language Our interview process includes, but is not limited to, the following: • Cognitive Aptitude and Typing Test, • Logic assessment on Excel We offer a competitive salary and benefits based on ability level, including: • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Bonus Perk - Seamless allowance Total compensation based on education, experience, and skills level ($50,400-$88,000) • Level 1 - $50,400-$57,920, • Possesses essential capabilities., • Level 2 - $57,920-$65,440, • Possesses developing capabilities., • Level 3 - $65,440 - $72,960, • Possesses notable capabilities., • Level 4 - $72,960-$80,480, • Possesses strong capabilities., • Level 5 - $80,480-$88,000, • Possesses advanced capabilities. About WITHIN WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • Tik Tok Locations • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States, • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia, • Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México AI-Assisted Screening NoticeAs part of our initial application review process, we may use an AI-assisted tool to help compare skills and job titles from your resume with the requirements of the role. This tool evaluates information based on contextual relevance and is used only to support our manual review process. It is not used to make hiring decisions.If you are a resident of New York City and would like to request an alternative evaluation process or a reasonable accommodation, please contact us at legal@within.co.

DCG is seeking a Social Scientist to support consumer and regulatory research programs for the U. This role involves designing, implementing, analyzing, and reporting on social science research projects focusing on tobacco regulatory science and public health. The ideal candidate will have over 5 ye

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Compensation: $45–$90 per completed task.The Consumer Insights Division of our organization is expanding its nationwide research team.We are seeking dependable individuals to support ongoing studies that influence the development of products, services, and digital experiences used across the Unite

Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization.Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovatio

We're currently looking for individuals across the country to take part in remote paid research, including remote focus groups, product trials, and consumer studies.Earn up to $750 a week in your free time by providing feedback on everyday products and services.If you're comfortable sharing your opi

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Provide administrative support to individuals or department.Perform general clerical and general office duties with minimal guidance.Follow established procedures, methods and practices.Essential Duties and Responsibilities Following is a summary of the essential functions for this job.Other duties

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We invest in our people in a host of ways, from providing meaningful learning and development opportunities to organizing memorable social events.

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