K
AI

Data Scientist

Kickstarter PBC · NY Brooklyn, New York, United States · $145k - $165k

Actively hiring Posted almost 3 years ago

Kickstarter, PBC is seeking a Data Scientist to join our Insights team. This is a crucial part of our analytics and data science function at Kickstarter and a full-time remote position.

 

About the Team:

Kickstarter's Insights team is a collaborative group of people who are passionate about using data and research to help bring creative projects to life. Our team’s mission is to provide the organization with robust information, analyses, and insight to inform and assess Kickstarter’s strategic objectives. Our team’s objectives include:

  • Democratizing data access across the organization and providing tools and training to support data-informed decisions;
  • Acquiring and synthesizing all relevant information about our ecosystem, the creative landscape, and our users, to provide high quality strategic advice to decision makers at all levels of the organization;
  • Raising the quality of data in our system, including improving our data infrastructure and modeling, and utilizing a variety of research methodologies to understand our users and their experiences.

To achieve this we will seek to use the most up-to-date data, analytical techniques, and appropriate technologies. We collaborate with teams across the organization to provide colleagues with reliable and actionable information through research, reporting, dashboards, and analytics. We value peer feedback, continuous learning, and blameless post-mortems. We prefer proven technology and have built most of our data infrastructure on AWS, but we also care about finding the right tools for the job, so we invest in cutting-edge technology when it's a good fit.

 

The salary range for this role in the United States is $145,000 - 165,000. 

About the Role:

We’ve developed cutting-edge infrastructure to help us collect and aggregate data from our production applications, largely built on AWS. A primary component of your job will be querying and analyzing that data, which will require extensive SQL knowledge. For more advanced analysis you’ll be working with tools like Python and R to explore and visualize data. You will mine the data ecosystem to find fruitful signals and develop and deploy performant algorithms. Your insights and wisdom will be essential to how Kickstarter evolves, lead to new data products, and your expertise will guide us as we learn new things every step of the way.

Your background should include experience using your data skills day-to-day as well as a healthy understanding of the product development lifecycle. Ideally you are adept at using statistics to separate signals from noise and completely at ease communicating the story behind the data.

About You:

  • You are a SQL expert and are at ease wrangling large datasets
  • You are proficient in Python and whatever other tools you prefer for analysis
  • You have a solid command of the statistics required to do data science on the web
  • You value communicating insights concisely, accurately, and meaningfully to a diverse audience
  • Experience with dbt is a strong plus

Tags & focus areas

Used for matching and alerts on DevFound
Scientist Data Science Aws Python R
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.