applied scientist ii, creative x - rapid Jobs in New York

applied scientist ii, creative x - rapid

applied scientist ii, prime video - personalization and discovery science Jobs in New York

applied scientist ii, prime video - personalization and discovery science

applied scientist, agif

applied scientist, sponsored products and brands Jobs in New York

applied scientist, sponsored products and brands

associate brand manager

applied scientist sponsored products and brands

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace ecosystem. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
Key job responsibilities<br>
As an applied scientist on our team, you will<br>
<br>
<ul><li>Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns.
</li><li>You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives.</li><li>You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones.</li><li>Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.</li><li>Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;</li><li>Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses;</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;</li><li>Translate complex scientific challenges into clear and impactful solutions for business stakeholders.</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li></ul><br>
About the team<br>
We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale.<br>
<br>
Our team invents, defines, and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon Store businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, fast-paced, and collaborative team with an entrepreneurial spirit.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>Deep curiosity, and basic knowledge on Gen AI</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>Previous work on agents or LLMs</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Sponsored Products and Brands

InMarket

<div><p><b>Job Title: </b>Data Scientist - Measurement</p>
<p><b>
Location:</b> Remote - US Only</p>
<p><b>
About InMarket</b></p>
<p>
Since 2010, InMarket has been the leader in 360-degree consumer intelligence and real-time activation for thousands of today's top brands. Through InMarket's data-driven marketing platform, brands can build targeted audiences, activate media in real time, and measure success in driving return on ad spend. InMarket's proprietary Moments offering outperforms traditional mobile advertising by 6x.* Our LCI attribution platform, which won the MarTech Breakthrough Award for Best Advertising Measurement Platform, was validated by Forrester to drive an average of $40 ROAS for our clients.</p>
<ul><li>Source: Wordstream US Google Display Benchmarks for Mobile Media</li></ul>
<p><b>
About the Role</b></p>
<p>
Data science is a core driver of InMarket's product design and innovation. As a Data Science team member, you will have the opportunity to leverage cutting-edge machine learning and AI on petabytes of data in ways that make a large and lasting impact on the company. We take on greenfield projects and launch entirely new products giving you the opportunity to take large amounts of ownership and shape our technology stack.</p>
<p>
Your role is to conceptualize, develop and deploy the core machine learning solutions that power our industry-leading advertising measurement products. These solutions will be intelligent, adaptive, operate at scale, and be based on modern causal inference and marketing statistical methods. You will collaborate closely with data analysts, account managers, product teams and engineering to understand our business and rapidly iterate on solutions that maximize ROI.</p>
<p>
 <b>Your daily Impact as Data Scientist</b></p>
<ul>
<li>Work with senior team members and product stakeholders to develop prototypes and take early-stage ideas through to production</li>
<li>Take ownership of core advertising measurement products to expand our capabilities and push our performance boundaries</li>
<li>Explore our data and systems, prototype ideas, run experiments to validate them and propose new products or advancements</li>
<li>Collaborate closely with our engineering and product teams to expand our causal inference and attribution based measurement platform</li>
</ul>
<p><b>Your Experience &amp; Expertise</b></p>
<ul>
<li>Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)</li>
<li>Solid understanding of modern data science, AI and machine learning</li>
<li>At least 3 years of experience with applying modern statistical marketing models, Bayesian statistics, and causal inference to solve complex, data-driven problems</li>
<li>Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code</li>
<li>Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds</li>
</ul>
<p><b>Nice to Haves</b></p>
<ul>
<li>Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus</li>
<li>Familiarity with the digital media / advertising industry is a big plus.</li>
</ul>
<p><b>Compensation &amp; Benefits Summary</b></p>
<ul>
<li>Competitive salary, stock options, flexible vacation</li>
<li>Medical, dental and Flexible Spending Account (FSA)</li>
<li>Company Matched 401(k)</li>
<li>Unlimited PTO (Within reason)</li>
<li>Talented co-workers and management</li>
<li>Agile Development Program (For continued learning/professional development)</li>
<li>Paid Paternity &amp; Maternity Leave</li>
</ul>
<p>For candidates in California, Colorado, and New York City, Illinois, Minnesota, New Jersey, Vermont, Washington, and Massachusetts, the Targeted Base Salary Range for this role is $108,358 - $146,570. This role is also eligible for an 8% bonus based on achievement of company goals.</p>
<p>
Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket's total rewards package that also may include bonus, equity, and benefits. Ask your recruiter for more information!</p>
<p>
At InMarket we are committed to a culture that supports diversity, inclusion, belonging and equal opportunity. We celebrate all people and believe everyone deserves respect regardless of race, gender, sexual orientation, backgrounds, experiences, abilities or beliefs.</p>
<p>
InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.</p>
<p>
Privacy Notice for California Job Applicants: https://inmarket.com/ca-notice-for-job-applicants/</p>
<p>
#LI-Remote</p></div><p></p>

Data Scientist - Measurement

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.<br>
<br>
Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.<br>
<br>
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.<br>
<br>
We&rsquo;re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.<br>
<br>
Key job responsibilities<br>
As an Applied Scientist, you will<br>
<ul><li>Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges</li><li>Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production</li><li>Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
</li><li>Provide customer and market feedback to product and engineering teams to help define product direction</li></ul><br>
About the team<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master&rsquo;s degree plus 10 years of relevant work experience</li><li>5+ years of hands on experience with Python to build, train, and evaluate models</li><li>5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.</li><li>Scientific publication track record at top-tier AI/ML/NLP conferences or journals</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization</li><li>Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)</li><li>Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools</li><li>Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts</li><li>Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas.</li><li>Track record of leading the design, implementation and delivery of scientifically-complex solutions that span multiple teams.</li><li>Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Model Customization, Generative AI Innovation Center, Model Customization

Centric Brands

<div>About Us:<div></div><div><br>
Centric Brands is a leading lifestyle brand collective that designs, sources, markets and sells high quality products in multiple segments, including women&rsquo;s, men&rsquo;s and kid&rsquo;s apparel, accessories, entertainment and beauty. Centric Brands is focused on our customers and our brands that will drive the company&rsquo;s future growth. We are defined by innovation as we seize new opportunities and thrive in an environment informed by creativity and thinking that is both analytical and outside the box. Centric Brands reflects a team built on respect, for others and for the hard work it takes to achieve our goals and build our bright future together.</div><br>
<div></div>
Specific Responsibilities Would Include:
<div>
As the Manager of Ecommerce for the Sports and Entertainment division, you will be at the forefront of creating dynamic and engaging apparel that resonate with athletes and fans alike. Collaborating closely with graphic design, product development and production teams, you will be responsible for developing and executing digital commerce strategies that accelerate revenue growth and enhance the functionality, usability, and performance of our websites. Key duties include site operations, technology optimizations, online merchandising, promotions and producing and presenting executive reports that drive high-level decision-making. The ideal candidate will be a dynamic professional with a deep understanding of ecommerce platforms and a proven track record of driving online sales and best-in-class user experiences. In addition, the ideal candidate is strategic, detail- and results-oriented and a proactive collaborator with strong analytical and problem-solving skills.</div><p></p><p><b><br>
Essential Duties and Responsibilities</b></p><ul><li>
Manage ecommerce operations, merchandising and site development for two premium fashion ecommerce websites, ensuring seamless user experience and maximum conversion potential</li><li>
Develop and execute comprehensive digital commerce strategies aligned with brand objectives and market trends</li><li>
Plan product/collection strategy, promotions and digital content and product launch calendars in collaboration with planning, sales, marketing, creative and CRM partners</li><li>
Foster strong inter-departmental relationships to drive efficiency and performance</li><li>
Forecast sales and manage inventory to ensure alignment with demand, collaborating closely with planning, marketing and sales</li><li>
Serve as the point person and liaison for engineering/development team on all functional issues related to sites; collaborate with development team to design and implement site roadmap and feature enhancements</li><li>
Manage platform integrations and ensure smooth technical operations across multiple ecommerce channels</li><li>
Review and test new development implementations to ensure positive user experiences on various devices and browsers</li><li>
Manage relationships with third-party platform partners</li><li>
Oversee complete product lifecycle management, including:<ul><li>
Product uploads and catalog management</li><li>
Product Detail Page (PDP) creation and optimization</li><li>
Ensuring accuracy of product information, pricing and imagery</li></ul></li><li>
Monitor, analyze and optimize digital commerce performance, site traffic and customer behavior with a focus on increasing conversion rate, AOV, orders, UPT and overall sales; create and maintain daily operational reports tracking key performance indicators (KPIs)</li><li>
Support customer service on ticket escalations</li><li>
Responsible for optimizations to navigation, collections, search and homepage</li><li>
Closely monitor return rates and review feedback, identifying key trends to make website enhancements and operational efficiencies in collaboration with design, merch and product development</li><li>
Oversee and execute strategic site A/B tests to improve KPIs, revenue, and overall customer experience with focus on digital merchandising, personalization and conversion optimization</li><li>
Partner with CRM to leverage customer insights and segmentation, optimizing digital commerce strategies based on data-driven learnings</li></ul>
Our Best Fit Candidate Would Have:
<ul><li>4-7 years of proven experience in ecommerce management, specifically in fashion or luxury retail</li><li>
Solid understanding of ecommerce business operations with mix of merchandising, creative, technical, analytical and sales knowledge</li><li>
Expert-level knowledge of ecommerce platform Shopify as well as experience with Google Analytics or similar; experience with SAP, NuOrder, Teamwork, and 42 Technologies preferred</li><li>
Strong understanding of digital commerce technology and emerging trends</li><li>
Proven experience managing cross-functional partnerships</li><li>
Advanced analytical skills with proficiency in data visualization and reporting tools</li><li>
Ability to manage multiple complex projects simultaneously</li><li>
Strong understanding of digital user experience and digital analytics</li><li>
Experience managing vendor and agency relationships</li><li>
Excellent communication skills, both written and verbal</li><li>
Strong organizational and time management skills</li><li>
High attention to detail</li></ul><div>
In return, we provide an industry-competitive salary, along with a comprehensive benefits plan (medical, dental, vision) that includes a matching 401(k), Summer Fridays, generous PTO, merchandise discounts, excellent career development opportunities, and a work environment that reflects our industry leadership. Our social impact program, Centric Cares, focuses on volunteerism to make a difference in communities we live and work in and our D&amp;I committee is shaping the future of diversity, equity and inclusion at Centric Brands though workshops, resources and inspiring conversation.</div><div></div><div><br>
Salary Range: $90,000-110,000</div><div></div><div><br>
At Centric Brands, we believe our people are our greatest asset, and we seek to structure competitive compensation offers to ensure that we are able to attract and retain the best talent. Our job postings include an annual base salary range at the time of employment. The stated base salary range represents our good faith estimate as to what candidates are likely to expect, and we tailor our offers within the range based on several factors, including the selected candidate's educational and professional experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the selection process. Base salary is a part of a total compensation package, which, depending on the position, may also include commission earnings, annual bonus and other Centric Brands sponsored benefit programs.</div><div></div><div><b><br>
Be part of our growing community by getting involved with groups, teams and initiatives like Be Green, Be Giving, and Be Celebrated.</b></div><div></div><div><b><br>
Centric Brands is an Equal Opportunity Employer</b></div><div></div><div><br>
Please note that Centric Brands will only reach out to interview, make an offer of employment or conduct onboarding activities for candidates who have applied through our careers site. When interviewing for a position, the candidate experience will include live interaction, such as a video conference or telephone call, with a Recruiter and/or company employee(s). We will never ask for any money or payments from applicants at any point in the recruitment process. Be aware of suspicious recruitment activity. If you think you are a victim of an employment scam, you may contact your local law enforcement agency and/or visit the Federal Trade Commission website here: https://consumer.ftc.gov/articles/job-scams.</div><div></div><div><br>
#LI-JE1</div><div>
#LI-Hybrid</div></div><p></p>

Manager, Marketing and Ecommerce - Team Sports Division

Research Foundation CUNY

<div><p>Job Description</p>
<div><h3 class="jobSectionHeader"><b>General Description</b></h3>
<div><p>As a leading online school in New York since 2006, the CUNY School of Professional Studies (CUNY SPS) offers the most online bachelor's and master's degree options at the City University of New York, and serves as the University's first undergraduate all-transfer college. With 26 degrees and numerous other non-degree and grant-funded workplace learning programs, CUNY SPS meets the needs of adults who wish to finish a bachelor's degree, progress from an associate's degree, earn a master's degree or certificate in a specialized field, and advance in the workplace or change careers. Consistently ranked highly by U.S. News &amp; World Report for its online offerings, CUNY SPS has emerged as a nationwide leader in online education. The School's renowned and affordable online programs ensure that busy working adults may fulfill their educational goals on their own time and schedule. As CUNY SPS moves beyond its 20th year, we dedicate ourselves to engendering an innovative and transformative student-centered experience.</p>
<p>
Within and created at the same time as CUNY SPS, the Office of Innovative Learning Solutions (ILS) designs custom workplace learning programs to help organizations achieve their goals. We are experts in research-based learning practices, online as well as in-classroom curriculum development and implementation. We are uniquely positioned to respond to organizational learning needs and support change management initiatives swiftly and effectively.</p>
<p>
CUNY SPS partners with Administration for Children's Services (ACS) Office Training Workforce Development (OTWD) to develop professional learning opportunities for child welfare and juvenile justice professionals. The collaboration between the two organizations includes James Satterwhite Academy (JSA), the ACS Workforce Institute (WI), and the Institute for Leadership Development (ILD). The collective work of all three entities is a state-of-the-art professional development institute that strengthens skills and provides support to child welfare and juvenile justice frontline staff as they strengthen and support New York City's families and children. https://www.nycacstraining.org</p>
<p><b>
Description:</b></p>
<p>
Reporting to the Deputy Director of Continuous Quality Improvement, the Research Associate to be hired as CUNY staff through the Workforce Institute MOU with CUNY will support the evaluation needs associated with the implementation of Family First Prevention Service Act (FFPSA) in relation to training, coaching, and transfer of learning sessions. The Research Associate will be responsible for creating the reactionnaires, pre and post-tests, and surveys and analyzing the data. The Federal government requires that evidence-based models approved by FFPSA Clearinghouse be implemented with fidelity. As per the State plan, Office of Children and Family Services (OCFS) requires local districts to monitor these programs for fidelity and ACS will be using a fidelity tool to monitor Motivational Interviewing.</p></div>
</div><div><h4 class="jobSectionHeader"><b>Other Duties</b></h4>
<div><ul><li>Coordinates and supports evaluation initiatives involving multiple team members and stakeholders in the child welfare system of New York City.</li>
<li>Conducts quantitative and qualitative data analysis utilizing statistical software.</li>
<li>Creates and maintains dashboards in Qualtrics and Tableau to support program monitoring, performance management, and continuous quality improvement.</li>
<li>Manages and analyzes fidelity monitoring data from the Lyssn platform, which utilizes artificial intelligence to provide immediate feedback on Motivational Interviewing practice adherence and skill development.</li>
<li>Supports the implementation and ongoing evaluation of evidence-based practices, particularly Motivational Interviewing, ensuring compliance with FFPSA fidelity requirements.</li>
<li>Drafts reports and briefs providing results of qualitative and quantitative analyses of evaluating OTWD learning programs and fidelity monitoring outcomes.</li>
<li>Presents evaluation results to a wide audience, including training facilitators, project managers, and members of OTWD</li>
<li>Employs a creative and flexible approach to promote a data-driven culture in the agency and supports evidence-based practice implementation.</li>
<li>Other duties as assigned.</li>
</ul></div></div><p></p><div><h4 class="jobSectionHeader"><b>Qualifications</b></h4>
<div><ul><li>MA/MPA/MS in social science, public administration, data analytics, data science, data/information management, or another related field.</li>
<li>At least 2 years of experience doing data management and data analysis in an applied setting.</li>
<li>Demonstrated data management and analysis skills.</li>
<li>Competent and/or certified in Qualtrics Research Core, Employee Engagement, or Customer Engagement platforms is highly desired.</li>
<li>Competence in Tableau Desktop and Tableau Prep a plus</li>
<li>An understanding of human or social services, particularly the child welfare and juvenile justice systems is a plus</li>
<li>Knowledge of evidence-based practices, particularly Motivational Interviewing, and fidelity monitoring principles is preferred</li>
<li>Excellent time management and organizational skills</li>
<li>Ability to work on a team, as well as independently</li>
<li>High degree of flexibility and maturity to work in an innovative, fast-paced environment, and to readily embrace change.</li>
<li>Strong written and oral communication skills and ability to effectively convey complex and data-related concepts to a variety of technical and non-technical audiences.</li>
<li>Experience with data visualization using dashboards and developing infographics is a plus</li>
<li>Expertise in evaluating unique learning experiences such as live simulations with actors or virtual reality experiences is a plus, but not required.</li>
<li>Experience in project management, including assuring project milestones are met on time and collaborating with multiple stakeholders</li>
<li>A curious disposition motivated by an internal drive to understand and untangle complex issues</li>
</ul>
<p>Please note: Candidates must have unrestricted authorization to work in the United States. Sponsorship is not available for this position.</p>
<p>
Location: 110 William Street, New York, NY 10038</p></div>
</div><div><h4 class="jobSectionHeader"><b>RFCUNY Benefits</b></h4>
<b><i>RFCUNY Employee Benefits and Accruals</i></b>
</div><p></p><div><h4 class="jobSectionHeader"><b>About the Research Foundation</b></h4>
<div><p>The Research Foundation of The City University of New York (RFCUNY) is a nonprofit educational corporation founded in 1963 to provide post-award fiscal and administrative support for CUNY&rsquo;s research and sponsored programs. RFCUNY&rsquo;s services allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries, on projects and programs that serve our local and global communities, proposing concrete solutions to society&rsquo;s most pressing challenges.</p>
<p>RFCUNY serves as a fiscal agent and works closely with all the CUNY campus Grants Offices to perform the core functions of post-award financial management for CUNY research projects and sponsored programs. These functions include legal assessment and signing of agreements where RFCUNY is named as a fiscal agent; setting up award accounts; preparing sub-awards and assisting PIs in monitoring the work of the recipients of sub-awards; supporting project directors with hiring and managing research project and sponsored program staff; supporting the purchasing and paying for goods and services with grant and program funds; managing financial aspects of projects including accounts receivable, financial reporting, invoicing, budget monitoring, and cost compliance with uniform guidance; ensuring that sponsor financial requirements are met; monitoring compliance with applicable project and financial management rules and laws; supporting the management of independent and external audits and financial reviews; and providing data, information, management expertise, and other supports to CUNY&rsquo;s research and sponsored programs.</p>
</div></div><p></p><div><h4 class="jobSectionHeader"><b>Equal Employment Opportunity Statement</b></h4>
<div>The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.</div></div></div>

Research Associate

English 1

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  Looking to kickstart your international adventure and grow your career? Join English 1 - a trusted name in ESL teaching, and make an impact in classrooms across China!
 </p>
 <p>
  <br/>
 </p>
 <p>
  You can earn money, travel across Asia in your free time, and develop yourself personally and professionally with our global network and training.
  <strong>
   We offer numerous career paths for growth and advancement.
  </strong>
  Adventure awaits abroad - join us today!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   As an English teacher, you will:
  </strong>
 </p>
 <ul>
  <li>
   Teach English to kids aged 3-16
  </li>
  <li>
   Lesson planning and delivery
  </li>
  <li>
   Leverage English 1's award-winning multimedia tech &amp; curriculum in the classroom
  </li>
  <li>
   Evaluate students and guide improvement
  </li>
  <li>
   Participate in engaging, social activities with kids
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What will you get?
  </strong>
 </p>
 <ul>
  <li>
   Competitive salary + performance bonus after 6 months
  </li>
  <li>
   21 days paid leave (10 days paid leave + 11 days statutory holidays)
  </li>
  <li>
   Flight allowance
  </li>
  <li>
   International health insurance (co-paid)
  </li>
  <li>
   *Sponsored flight to China (select cities) + airport pick-up
  </li>
  <li>
   **Sponsored legal Z work visa + up to 2 weeks sponsored hotel stay
  </li>
  <li>
   TEFL certificate + skill development &amp; career advancement
  </li>
  <li>
   Distance learning courses (Level 6 Trinity College CertPT, DELTM)
  </li>
  <li>
   English 1-organized social and cultural activities + free Mandarin Chinese lessons
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   * The sponsored flight to China and the hotel accommodation for the first two weeks will be deemed as a sponsorship upon successful completion of the first-year contract. In the event of contract termination prior to completion, the employee agrees to reimburse English 1 for the cost of the flight. Sponsored flight applies to select cities.
  </em>
 </p>
 <p>
  <em>
   **Sponsored legal Z work visa expenses will be reimbursed.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   A passport &amp; bachelor&rsquo;s degree
  </li>
  <li>
   ESL certification (We can sponsor. You don&rsquo;t need any teaching experience, although it&rsquo;s always welcome! You just need to be willing to learn and grow, and we will help with the rest!)
  </li>
  <li>
   Clear background check
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why English 1?
  </strong>
 </p>
 <ul>
  <li>
   Teachers are at the core of what we do at English 1
  </li>
  <li>
   Strong presence in China and Indonesia
  </li>
  <li>
   30 years in China with 200+ schools in 50+ cities
  </li>
  <li>
   Professional development and growth
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Make it matter. Be part of our international team and make an impact! APPLY NOW!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  #EntryLevel #Graduates #EnglishTeacher #ESL #TEFL #TeachingJobs #GraduateJobs #hiring #jobs #entrylevel #teachers #graduates #esl #tefl #teach #JobAlert #NowHiring #JobOpening #CareerOpportunities #JobSearch #WorkWithUs #LinkedInJobs #JobSeeker #OpenToWork #CareerGoals #JobHunt #NewJob #CollegeGraduates #BachelorsDegree #RecentGrad #ClassOf2025 #JobSearch #CareerSuccess #EntryLevelJobs #HiringNow #YoungProfessionals #CareerGrowth #Networking #LinkedInNetworking #FutureLeaders #UniversityAlumni #HigherEd #AlumniNetwork #CollegeSuccess
 </p>
</div>


Entry-Level English Teacher (ESL) – Full Training & Support Provided

Hiring Immediately! Entry-Level English Teacher

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