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Join a leading company as a Senior Data Scientist I in Seattle, where you'll enhance data-driven decisions across the organization. You will be responsible for analyzing data to inform product development, collaborate with stakeholders, and build effective data infrastructure while having a competitive salary and benefits.
Join to apply for the Senior Data Scientist I role at Carta
Join to apply for the Senior Data Scientist I role at Carta
The Company You’ll Join
Carta connects founders, investors, and limited partners through world-class software, purpose-built for everyone in venture capital, private equity and private credit.
Carta’s fund administration platform supports nearly 7,000 funds and SPVs, representing $150B in assets under administration 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 creating the end-to-end ERP platform for private markets. Traditional ERP solutions don’t work for Private Funds. Private capital markets need a comprehensive software solution to replace outdated spreadsheets and fragmented service providers. Carta’s software for the Office of the Fund CFO does just that - it’s a new category of software to make private markets look more like public markets - a connected ERP for private capital.
For more information about our offices and culture, check out our Carta careers page.
The Problems You’ll Solve
At 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
By 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 With
On 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 You
Successful 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)
Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary + commission if applicable) range for this role is :
170,000 - $200,000 in San Francisco, CA; New York, NY
161,500 - $190,000 in Seattle, WA
Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.
Disclosures
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology
Technology, Information and Internet and Financial Services
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