数据科学家，北区洞察
Data Scientist, North Insights
我们是谁？
Cohere 是一家以安全为首要考虑的领先企业人工智能公司。我们构建前沿的基础人工智能模型和端到端产品，旨在解决现实世界中的业务问题。
我们正在为正在构建人工智能系统的公司训练和部署前沿模型。我们认为我们的工作对人工智能的广泛应用至关重要，我们正在寻找希望成为其中一员的人才。
我们对所构建的产品精益求精。我们每个人都负责提升模型的能力以及为客户创造的价值。Cohere 是一个由研究人员、工程师、设计师等组成的团队，他们对各自的专业充满热情。
我们是一家总部位于多伦多的全球科技公司，在伦敦、纽约市、旧金山、蒙特利尔、巴黎、柏林和首尔设有主要办公室。加入我们吧！
为什么选择这个职位？
我们正在构建将定义世界如何思考和部署人工智能的基础基础设施，我们希望最聪明、最好奇的人与我们一同实现这一目标。作为 Analytics and Data Insights 团队的数据科学家，你将处理尚未有教科书答案的问题；构建塑造产品和公司战略的分析，设计验证或淘汰我们最大赌注的实验，并帮助企业客户理解基础人工智能对他们底线的实际意义。你将全程负责分析工作：从提出正确的问题、构建模型到交付产品负责人、销售团队和企业客户依赖的洞察、工具和结果。
作为数据科学家，你将：
- 推动使命前进。
- 构建前沿的代理分析：代理分析远未被解决，我们希望成为解决这个问题的公司。我们需要最聪明的头脑，具备好奇心、动力和专注力，以构建必要的工具，使真实世界的数据变得有序和清晰。
- 定义人工智能影响度量：负责围绕采用、增长和影响的端到端分析故事，让高层领导根据实际价值而非仅凭客户反馈来优先排序功能。
- 交付面向客户的分析：企业客户认可其价值的洞察。
- 构建小型语言模型，用于对消息数据进行分类、归类和丰富，使客户能够了解他们的团队如何在企业中使用我们的产品。
- 设计并运行实验：A/B 测试、因果推断等。
查看英文原文
Who are we?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a Data Scientist on our Analytics and Data Insights team, you'll work on problems that don't have textbook answers yet; building the analytics that shape product and company strategy, designing the experiments that prove or kill our biggest bets, and helping enterprise customers understand what foundational AI actually means for their bottom line. You'll own analytical work end-to-end: from framing the right questions and building the models to shipping insights, tools, and results that product leaders, sales teams, and enterprise customers rely on.
As a Data Scientist, you will:
- Drive the mission forward.
- Build bleeding-edge agentic analytics: Agentic analytics is far from a solved problem, and we want to be the company that solves it. We need the sharpest minds with the curiosity, drive, and focus required to build the tools necessary to bring order and clarity to real world data.
- Define AI impact measurement: own the end-to-end analytics story around adoption, growth, and impact that North leadership uses to prioritize features by measured value rather than customer feedback alone.
- Ship customer-facing analytics: insights that our enterprise customers recognize as evidence of value created.
- Build small language models to categorize, classify, and enrich message data to give customers visibility into how their teams are using our products in their enterprise.
- Design and run experiments: A/B tests, causal inference studies, and opportunity sizing that directly map to product and go-to-market decisions.
- Build predictive models that matter: develop and deploy models for forecasting, segmentation, propensity scoring, and opportunity sizing across Cohere's core business lines.
- Act like an owner: no waiting around. You'll define analytical priorities within your scope, push initiatives from question to production, and own what you build.
You may be a good fit, if you have:
- Strong command of SQL, Python, and Git, alongside expertise in statistical inference, experimental design, and predictive modeling
- A proven ability to turn ambiguous business questions into rigorous analytical problems, with clear and compelling recommendations to match
- Experience building and deploying production models, not just notebook analysis. You know what it takes to get a classifier down the stack from prototype to production volume.
- Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow (nice to have, not essential)
- Genuine excitement about AI: you follow the research, have opinions, and enjoy being in the weedsComfort operating in ambiguity, managing multiple workstreams across different stakeholders, and distilling insights into a concise, actionable narrative
- A collaborative style grounded in empathy as much as in data; you work alongside product, research, sales, and finance, not in a silo
If some of the above doesn't line up perfectly with your experience, we still encourage you to apply!
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.