Senior Data Scientist I

Detalhes da Vaga

The Company You'll JoinCarta develops purpose-built software that transforms traditional accounting into a powerful growth engine.Carta's world-class fund administration platform supports nearly 7,000 funds and SPVs, and represents nearly $130B in assets under management in venture capital and private equity.Trusted by more than 40,000 companies, Carta also helps private businesses in over 160 countries manage their cap tables, valuations, taxes, equity programs, compensation, and more.Together, Carta is setting a new standard as the end-to-end platform for private markets.
Our best-in-class solution for fund management seamlessly integrates investor and portfolio company insights via a suite of tools designed ground-up to support the strategic impact of the fund CFO.For more information about our offices and culture, check out our Carta careers page .The Problems You'll SolveAt Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places.
We believe that the problems we solve today unlock the opportunities of tomorrow.
As a Senior Data Scientist, you'll work to:Standardize, document and generate core metrics for our business and our product across multiple teamsInstrument new initiatives and come up with metrics to measure them alongside business partners and/or product managersGenerate insights into how new features can impact a product releaseUse different analytical and statistical approaches to identify trends in historical data that help Carta better understand customer/user behaviorPresent findings to diverse audiences, including executivesRe-evaluate existing data infrastructure and dashboards to make sure they are easy to understand and useProvide training sessions to teach members of other teams to self-serve in BI toolsCollaborate with the rest of the data team to come up with new products based on dataBy partnering with teams within Carta and providing data solutions, you will elevate our decision making and improve our products, operations and business direction.
As you continue to build out our analytics toolkit, you will empower others in the organization to make data-driven decisions.The Team You'll Work WithOn the Data Science team, our mission is to enable data-driven decisions and products across Carta by collecting accurate data, building scalable infrastructure and delivering advanced analytics.
We believe in building a strong data foundation to ensure data quality and to promote self-service across the company.
In addition, the data team works on developing proprietary data products using Carta's rich and unique dataset.
We like to partner with each other and with Cartans across the company to get our work done.
We constantly think about how we can improve and grow.About YouSuccessful candidates in this role are excellent communicators who are always looking for opportunities to use data to make decisions.
You have at least 5+ years of analytics experience either in product analytics or data science.
You are a self-starter who can build relationships across the company, understand how to prioritize your work, choose which methods or technologies will best solve a problem, and understand when data can and should be used to improve Carta.
You have excellent attention to detail, are able to communicate with diverse stakeholders, comfortable presenting to all audiences, and don't mind writing documentation.Preferred Tech Stack (experience working with the following tools):SQLPythondbtSnowflakeLooker / MetabaseGitWe are an equal opportunity employer and are committed to providing a positive interview experience for every candidate.
If accommodations due to a disability or medical condition are needed, please connect with the talent partner via email.Interested in data privacy?
Check out our policies on Privacy and CA Candidate Privacy .
Please note that all official communications from us will come from an @carta.com domain.#J-18808-Ljbffr


Salário Nominal: A acordar

Fonte: Talent_Dynamic-Ppc

Função de trabalho:

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