数据科学家，企业
Data Scientist, Corporate
关于我们的团队：
YipitData 是颠覆性经济领域领先的市场研究和分析公司，最近从 Carlyle Group 获得 4.75 亿美元融资，估值超过 10 亿美元。每天，我们的专有技术分析数十亿个替代数据点，以揭示软件、AI、云计算、电子商务、网约车和支付等领域的可操作见解。
我们的数据和研究团队将原始数据转化为战略情报，提供准确、及时且高度情境化的分析，我们的客户——从全球顶级投资基金到财富 500 强公司——依赖这些分析来推动高风险决策。从获取和授权新颖的数据集到严格的分析和专家叙事框架，我们的团队确保客户不仅获得数据，还获得清晰度和信心。
我们在美国、亚太地区和印度设有办公室。我们获奖的以员工为中心的文化——连续三年被 Inc. 评为最佳工作场所——强调透明度、主人翁精神和持续精进。
在 YipitData 工作是什么感觉：
YipitData 不是一个可以混日子的地方——它是有抱负、注重影响的专业人士的跳板。
从第一天起，你就会主导有意义的工作，加速成长，并获得塑造职业生涯的曝光机会。
为什么顶尖人才选择 YipitData：
- 有意义的主人翁精神：你将主导具有实际业务成果的高影响力项目
- 快速成长：我们将数年的学习压缩为几个月
- 能力胜于头衔：信任和责任通过执行获得，而非资历
- 有目的的速度：我们快速前进，互相支持，目标高远——始终有目的和意图
如果你的抱负与你的工作态度相匹配，并且你渴望一个成长、影响和主人翁精神是常态的地方，那么 YipitData 可能就是你一直在寻找的机会。
职位简介：
我们正在寻找一名数据科学家加入我们的核心面板科学团队。我们的团队致力于构建企业消费者分析的无妥协、数学严谨的单一真实数据源。
在这个职位上，你将跨高度复杂的数据引擎工作，该引擎连接基础统计建模、复杂的数据基础设施和先进的分析产品架构。无论你的深厚专业知识在于优化核心统计基准、优化重型计算模型，还是构建可扩展的逻辑库，你都将对企业级消费分析方式产生巨大影响。
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About Us:
YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.
What It’s Like to Work at YipitData:
YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.
From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
Why Top Talent Chooses YipitData:
- Ownership That Matters: You’ll lead high-impact projects with real business outcomes
- Rapid Growth: We compress years of learning into months
- Merit Over Titles: Trust and responsibility are earned through execution, not tenure
- Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention
If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.
About The Role:
We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to building an uncompromising, mathematically rigorous single source of truth for enterprise consumer analytics.
In this role, you will work across a highly sophisticated data engine that bridges foundational statistical modeling, complex data infrastructure, and advanced analytical product architecture. Whether your deep expertise lies in refining core statistical baselines, optimizing heavy computational models, or architecting scalable logic libraries, you will have a massive impact on how enterprise-level consumer insights are delivered.
This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one of our office hubs, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. We expect East Coast work hours.
As Our Corporate Data Scientist, You Will:
- Statistical Modeling & Distribution Optimization: Design, validate, and deploy robust, scalable optimization frameworks and distribution models to ensure complete mathematical integrity across downstream metrics.
- Methodology & Panel Foundations: Explore and execute complex methodologies, evaluate methodological trade-offs, and implement advanced statistical procedures.
- Analytical Logic & Governance: Partner cross-functionally to transition ad hoc code into standardized, version-controlled templates and logical libraries. You will ensure analytics are structured cleanly to power diverse product surfaces, ranging from interactive dashboards to LLM-driven applications.
- Infrastructure & Performance Optimization: Partner closely with Data Engineering to optimize code performance and scale analytical workflows. You will help transition complex statistical calculations from standard database queries into efficient, production-grade cloud compute architectures.
You Are Likely To Succeed If:
- Experience: 4–5 years of professional data science experience. 2-3 years of experience with an advanced degree.
- Education: Bachelor’s degree in a highly quantitative field (Statistics, Economics, Physics, Mathematics, Engineering, or a related discipline). A Master’s degree is strongly preferred.
- Mathematical Proficiency: Exceptional expertise in working with, modeling, and optimizing for statistical distributions.
- Technical Stack: Advanced proficiency in Python or R and expert-level SQL.
- Key Advantages (Big Plus):
- Direct experience working with panel data or longitudinal consumer data.
- Hands-on experience analyzing receipt data or transaction-level consumer data.
- Experience working with Databricks and scaling advanced compute workloads.
What We Offer:
Our compensation package includes comprehensive benefits, perks, and a competitive salary:
- We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
- Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
- The annual on-target earnings for this position are anticipated to be up to $170K + bonus element. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
- The compensation package also includes equity.
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, Denver, Mountain View, and Seattle. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.
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