analyst

applied scientist

customer experience data analyst Jobs in New York

customer experience data analyst

data analyst/数据分析师 Jobs in New York

data analyst/数据分析师

data scientist intern

data scientist

Point72

<div><div><div>EXPERIENCE
<div>Early Career</div>
</div><div>LOCATION
<div>New York</div>
</div><div>FOCUS
<div>Data Science &amp; Analytics | Systematic Data</div>
</div><div>BUSINESS
<div>Cubist</div></div></div></div>
 <div><h3 class="jobSectionHeader">About Cubist</h3>

Cubist Systematic Strategies is one of the world&rsquo;s premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.<h3 class="jobSectionHeader"> 
Role</h3>

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. 
Cubist&rsquo;s data services group is looking for a Data Scientist Intern to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. 
This exceptional individual will be a member of a small team of Data Scientists/Analysts who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.<h3 class="jobSectionHeader"> 
Responsibilities</h3>
<ul><li>Analyzing financial datasets and preparing reports for investment teams</li><li>
Creating derived data content and data ingestion pipelines</li><li>
Identifying potential data sources</li><li>
Engaging with vendors to understand characteristics of datasets</li><li>
Defining and automating qualitative data checks</li><li>
Assisting with data questions and requests from investment teams</li><li>
Creating and maintaining internal documentation on datasets</li></ul> 
<h3 class="jobSectionHeader">
Requirements</h3>
<ul><li>Basic level programming experience in Python and SQL</li><li>
Financial industry experience preferred but not required</li><li>
Strong organization, communication, and interpersonal skills</li><li>
Attention to detail and a love of process</li><li>
Strong oral and written communication skills</li><li>
Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues</li><li>
Ability to multitask and prioritize assignments</li><li>
Commitment to the highest ethical standards</li></ul> 
The annual base salary range for this role is $125,000-$130,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.</div>

Data Scientist Intern

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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. 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.
 
 
Key job responsibilities 
The Principal Applied Scientist in Advertiser Guidance team will lead 50+ builders in pioneering a new generation of agentic AI applications for Amazon advertisers. You will define and lead the science roadmap of developing agentic experiences for recommendations and guidance delivered to +1.6MM Sponsored Products and Brand advertisers across multiple channels (Ad Console, Sales-managed, and 3P partners).
 
 
You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale. You will work backwards from the needs of advertisers&mdash;delivering customer-facing products that directly help them create, optimize, and grow their campaigns.
 
 
As a Principal Scientist, you will play a critical role in elevating the team&rsquo;s scientific and technical rigor, identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. You will communicate learnings to leadership and mentor and grow Applied AI talent across the Ads Org.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>PhD in Computer Science, Statistics or related field.</li><li>5+ years of applied ML experience in building customer-facing recommender systems involving AI, ML, and NLP.</li><li>Hands-on experience with designing and prototyping AI solutions for real world applications.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Research publications or patents in generative AI technologies</li><li>Experience with natural language processing and generative model architectures</li><li>Background in advertising technology or e-commerce platforms</li><li>Demonstrated track record of innovative AI solution development</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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>

Principal Applied Scientist, Advertiser Growth, Amazon Sponsored Products & Brands

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
About the Role
We are seeking a highly skilled Machine Learning Engineer to design, build, and productionalize models that drive customer growth, engagement and retention. This role will focus specifically on attrition prediction and mitigation - identifying customers at risk of churn and surfacing proactive interventions that improve customer satisfaction and lifetime value.
You will work closely with data scientists, software engineers, product managers, and business stakeholders to build scalable ML systems that power attrition predictions, risk and mitigation explanations and next best action recommendations.
Key Responsibilities:
<ul><li>Design predictive models for user and customer attrition using supervised, unsupervised, deep learning and generative techniques.
</li><li>Design scalable data pipelines for feature generation from both structured and unstructured sources of product adoption, sales activity, and customer engagement data (e.g. product telemetry, usage logs, CRM, sales activity, etc.)
</li><li>Build and maintain production-grade ML services , integrating models into APIs or decision systems that support real-time and batch use cases.
</li><li>Continuously monitor and improve model performance through drift detection, retraining automation and impact measurement.
</li><li>Collaborate with product and engineering teams to integrate models into production systems and agentic experiences, ensuring scalability, robustness and efficiency.
</li><li>Mentor junior engineers and data scientists and provide technical leadership in model architecture, experimentation, and deployment best practices.
</li></ul>What We&rsquo;re Looking For
<ul><li>Demonstrated ability to take models from research to production
</li><li>Strong software engineering proficiency in Python and data manipulation skills like SQL.
</li><li>Experience using third-party and in-house Machine learning tools and infrastructure to develop reusable, high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
</li><li>Exposure to architectural patterns of a large, high-scale software application (e.g. well-designed APIs, high volume data pipelines, efficient algorithms, etc.)
</li><li>Familiarity with ML libraries such as scikit-learn, XGBoost, Pytorch, or TensorFlow
</li><li>Experience with feature engineering on big data (Spark, Trino, Snowflake, etc.)
</li><li>Experience with ML lifecycle management tools (ML Flow, Airflow, Kubeflow or equivalents).
</li><li>Experience with containerization technologies (Docker) and orchestration (Kubernetes).
</li><li>Strong grasp of model evaluation, drift monitoring and explainability best practices.
</li><li>Experience with Agile development methodology, Test-Driven Development, incremental delivery, and CI/CD
</li><li>Experience owning and operating services throughout the software development lifecycle including design, development, release and maintenance.
</li><li>Experience communicating technical vision, mentoring junior engineers and managing projects.
</li><li>Experience developing and evaluating AI Agents that integrate with traditional ML models, (e.g. combining predictive scoring systems with generative or agentic workflows to automate customer engagement flows and recommendations.
</li></ul>Preferred Qualifications (Bonus Points):
<ul><li>Familiarity with retention modeling or next best action recommendation systems.
</li><li>Experience developing or contributing to shared ML frameworks or internal ML Ops platforms.
</li><li>Experience with Feature Stores like Feast
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
For New York-based roles, the base salary hiring range for this position is $137,100 to $334,600.</div>

Senior/Lead Machine Learning Engineer

PayPal

<div>The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. 
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
Job Description Summary: 1. Regional Ecosystem Risk Management resides in the Global Ecosystem Risk &amp; Solution organization that is part of Global Risk Management (GRM) organization that supports various business lines in optimizing various risk strips and rewards to enable profitable business growth within risk appetite. 2. You will support and execute various initiatives to solve different risk challenges across the PayPal ecosystem. 3. Areas of responsibility include but are not limited to different regional market risk management from onboarding to lifecycle strategy in risk grading, funds availability, transaction rule optimization, etc. 4. You will be partnering with other GRM teams and Business Unit and Product leaders in executing the roadmap outlined by the Business unit that balances Business Unit objectives and OKRs while design with intent to meet the risk appetite.
Job Description:
Essential Responsibilities:
<ul><li>Lead and manage data science projects, ensuring timely delivery and alignment with business goals.</li><li>
Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.</li><li>
Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.</li><li>
Collaborate with cross-functional teams to understand data needs and provide actionable insights.</li><li>
Ensure data quality and integrity through regular audits and validation processes.</li><li>
Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.</li></ul>
Expected Qualifications:<ul><li>
5+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li></ul>
PayPal is committed to fair and equitable compensation practices.
 
 
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. 
 
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com. 
 
The U.S. national annual pay range for this role is PayPal is committed to fair and equitable compensation practices.
 
 
Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience. 
 
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com. 
 
The U.S. national annual pay range for this role is $152,500 to $262,350

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. 
Our Benefits:
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com 
 
Who We Are:
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx 
 
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. 
Any general requests for consideration of your skills, please Join our Talent Community. 
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.

Notice to Applicants and Employees who reside within New York city. Click https://careers.pypl.com/Contact-Us/default.aspx 
 
to view the notice.</div>

Manager, Data Science

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows. You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale.
 
 
You will work backwards from the needs of advertisers&mdash;delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production. 
 
Key job responsibilities 
<ul><li>Design and build agents to guide advertisers in conversational and non-conversational experience.</li><li>Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).</li><li>Curate datasets and tools for MCP.
</li><li>Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.</li><li>Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.</li><li>Prototype and iterate on multi-agent orchestration frameworks and workflows.</li><li>Collaborate with peers across engineering and product to bring scientific innovations into production.</li><li>Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications.</li></ul> 
About the team 
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest 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. 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. 
 
The Advertiser Guidance team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon&rsquo;s retail ecosystem. 
 
Our vision is to build a highly personalized, context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities&mdash;from high-level product guidance down to granular keyword recommendations&mdash;and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in designing experiments and statistical analysis of results</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in professional software development</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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. 
 
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

North American Service Center of Chinese Students Service LLC

&#32844;&#20301;&#21517;&#31216;&#65306;Data Analyst/&#25968;&#25454;&#20998;&#26512;&#24072;&#32844;&#20301;&#25551;&#36848;&#65306;&#20851;&#20110;&#25105;&#20204;&#65306; 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Analytics&#12289;Excel&#12289;SQL&#12289;Power BI&#25110;Tableau&#36827;&#34892;&#25253;&#21578;&#19982;&#25968;&#25454;&#21487;&#35270;&#21270;&#30340;&#32463;&#39564;&#12290;</li><li>&#29702;&#35299;A/B&#27979;&#35797;&#12289;&#36716;&#21270;&#29575;&#20248;&#21270;&#65288;CRO&#65289;&#21450;&#21463;&#20247;&#20998;&#32676;&#12290;</li><li>&#20855;&#22791;Python&#25110;R&#25968;&#25454;&#20998;&#26512;&#32463;&#39564;&#32773;&#20248;&#20808;&#12290;</li></ul>&#36719;&#25216;&#33021;<ul><li>&#36739;&#24378;&#30340;&#20998;&#26512;&#24605;&#32500;&#33021;&#21147;&mdash;&mdash;&#33021;&#22815;&#23558;&#22797;&#26434;&#25968;&#25454;&#36716;&#21270;&#20026;&#28165;&#26224;&#30340;&#27934;&#23519;&#12290;</li><li>&#20248;&#31168;&#30340;&#22242;&#38431;&#21327;&#20316;&#19982;&#27807;&#36890;&#33021;&#21147;&mdash;&mdash;&#36328;&#37096;&#38376;&#21327;&#20316;&#20197;&#23545;&#40784;&#31574;&#30053;&#12290;</li><li>&#39640;&#24230;&#30340;&#32452;&#32455;&#24615;&#12289;&#32454;&#33268;&#19988;&#20027;&#21160;&#35782;&#21035;&#22686;&#38271;&#26426;&#20250;&#12290;</li><li>&#24895;&#24847;&#22312;&#25151;&#22320;&#20135;&#34892;&#19994;&#19981;&#26029;&#23398;&#20064;&#21644;&#25104;&#38271;&#12290;</li></ul>&#25105;&#20204;&#33268;&#21147;&#20110;&#25552;&#20379;&#21331;&#36234;&#30340;&#32844;&#19994;&#21457;&#23637;&#26426;&#20250;&#65292;&#24110;&#21161;&#24744;&#22312;&#19987;&#19994;&#19982;&#20010;&#20154;&#26041;&#38754;&#25104;&#38271;&#12290;&#36890;&#36807;&#32467;&#26500;&#21270;&#22521;&#35757;&#12289;&#23548;&#24072;&#35745;&#21010;&#21450;&#25903;&#25345;&#24615;&#24037;&#20316;&#29615;&#22659;&#65292;&#25105;&#20204;&#36171;&#33021;&#22242;&#38431;&#25104;&#21592;&#20805;&#20998;&#21457;&#25381;&#28508;&#21147;&#12290;&#27492;&#22806;&#65292;&#25105;&#20204;&#25552;&#20379;&#31614;&#35777;&#25903;&#25345;&#65292;&#21253;&#25324;OPT&#12289;CPT&#21450;H-1B&#65292;&#21161;&#21147;&#22269;&#38469;&#20505;&#36873;&#20154;&#22312;&#25105;&#20204;&#20844;&#21496;&#24314;&#31435;&#38271;&#26399;&#32844;&#19994;&#21457;&#23637;&#12290;About Us &#65306;We are a leading real estate agency committed to leveraging data-driven insights and digital strategies to drive property sales and engagement. We are seeking a Data Analyst with a passion for performance marketing, paid media analytics, and business intelligence to join our growing team. This role is perfect for someone who enjoys working with data, digital advertising platforms, and real-world business strategy.Key Responsibilities1. Digital Performance &amp; Analytics<ul><li>Analyze daily, weekly, and monthly marketing performance across SEO, SEM, Meta Ads, TikTok Ads, and Redbook (Xiaohongshu) Ads to drive insights and recommendations.</li><li>Build and maintain real-time dashboards to track key performance indicators (KPIs) such as traffic, conversion rates, lead quality, cost-per-acquisition (CPA), ROI, and engagement rates.</li><li>Utilize tools like Google Analytics, Meta Business Suite, TikTok Ads Manager, and third-party reporting platforms to optimize campaign efficiency.</li><li>Conduct predictive modeling and forecasting to assess future real estate market trends based on online engagement data.</li></ul>2. Paid Media &amp; Social Ad Strategy<ul><li>Provide data-driven recommendations to optimize targeting, bidding strategies, and budget allocation across platforms.</li><li>Conduct A/B testing on creatives, ad copy, and landing pages to improve conversion rates and engagement.</li><li>Collaborate with the marketing team to refine SEO strategies, keyword performance, and lead generation tactics for organic traffic growth.</li></ul>3. Business Intelligence &amp; Sales Growth Analysis<ul><li>Support sales teams with actionable insights derived from social media, website traffic, and ad performance.</li><li>Monitor lead flow and customer journey data to ensure marketing efforts are driving qualified buyers.</li><li>Conduct competitive benchmarking&mdash;analyzing industry trends, competitor ad performance, and real estate market insights.</li><li>4.Cross-Functional Collaboration &amp; Process Optimization</li><li>Partner with marketing, sales, and finance teams to align performance metrics with business objectives.</li><li>Investigate data discrepancies in campaign performance, ensuring reporting accuracy.</li><li>Work with internal stakeholders to enhance marketing automation processes for better efficiency in lead management.</li><li>Stay ahead of digital marketing trends, real estate industry shifts, and evolving platform algorithms to ensure our campaigns remain competitive.</li></ul>Qualifications &amp; Skills Technical Skills<ul><li>Bachelor&rsquo;s degree in Data Analytics, Marketing, Business, or a related field.</li><li>Familiarity with paid digital media platforms (Meta Ads, TikTok Ads, Redbook, Google Ads, and SEO/SEM tools).</li><li>Experience with Google Analytics, Excel, SQL, Power BI, or Tableau to develop reports and data visualization.</li><li>Understanding of A/B testing, conversion rate optimization (CRO), and audience segmentation.</li><li>Experience with Python or R for data analysis is a plus!</li><li>Soft Skills Strong analytical mindset &ndash; ability to translate complex data into clear insights.</li><li>Excellent team collaboration &amp; communication &ndash; work across departments to align strategies. Highly organized, detail-oriented, and proactive in identifying growth opportunities.</li><li>Willingness to learn and grow within the real estate industry.</li></ul>We are committed to providing excellent career development opportunities to help you grow both professionally and personally. Through structured training, mentorship programs, and a supportive work environment, we empower our team members to reach their full potential.Additionally, we offer sponsorship, including OPT, CPT, and H-1B, to support international candidates in building a long-term career with us.&#32844;&#20301;&#31867;&#22411;&#65306;&#20840;&#32844;&#34218;&#36164;&#65306; &#27599;&#24180;$50,000.00&#36215;&#30003;&#35831;&#38382;&#39064;:<ul><li>Have you managed ad campaigns on Google Ads, Xiao Hongshu, or Meta platforms?</li></ul>&#24037;&#20316;&#35821;&#35328;:<ul><li>Do you speak Chinese? (&#24517;&#22635;)</li></ul>Work Location: &#29616;&#22330;&#21150;&#20844;

Data Analyst/数据分析师

DataAnnotation

<div>
 We are looking for an Energy Research Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert level of physics. Other related fields include, but are not limited to: Physics and/or Applied Mathematics.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots complex physics problems and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Strong grasp of classical mechanics, E&amp;M, thermodynamics, and basic quantum concepts
 </li>
 <li>
 A current, in progress, or completed Master's and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #physics
</div>

Energy Research Scientist

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