Data Scientist
The Data Scientist at Confidential Client will leverage big data and advanced analytical methods to build and improve machine learning models that optimize digital ad spend allocation to creators. This role involves shaping product decisions, enhancing measurement accuracy, and developing robust data pipelines within a fast-paced, in-office startup environment focused on transforming the digital advertising ecosystem.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Technology, Information and Internet.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
You will join an early-stage data practice to build models, experiments, and pipelines that power a high-scale creator-advertising platform. Day-to-day responsibilities include:
- Analyze large-scale behavioral and performance data to answer product and measurement questions
- Design and run experiments to validate model improvements and feature changes
- Build, validate, and productionize statistical and ML models (ranking, pricing, forecasting)
- Work with engineering to deliver robust data and ML tooling, pipelines, and services
- Translate ambiguous business problems into measurable metrics and model objectives
- Partner with cross-functional teams (product, engineering, growth) to ship and monitor data-driven features
- Own outcomes—iterate quickly, instrument thoroughly, and measure impact
Who You Are / Qualifications
- Bachelor’s degree (per posting requirement)
- Proven track record applying analytical/statistical methods to solve real-world problems using big data
- Comfortable designing experiments and interpreting results to inform product decisions
- Self-starter mentality: curious, collaborative, and able to operate in a fast-moving environment
- Highly motivated with strong problem-solving instincts and a bias toward action
- Able to work in-office 5 days/week in New York, NY (this role is on-site)
Nice to Have
- Experience or interest in creator advertising, marketplace dynamics, or ad-tech models
- Familiarity with LLM-driven ranking/pricing concepts or systems
- Startup or early-team experience (rapid iteration, cross-functional ownership)
What You’ll Get
- Opportunity to join a foundational data team and shape product and measurement at scale
- Fast exposure to core business drivers and technical challenges of a high-growth platform
- Collaborative, transparent engineering culture and significant ownership
- Early-team upside, tangible impact on company outcomes
Benefits & Perks
- Flexible PTO
- Comprehensive health coverage (medical plan through Aetna)
- Dental & vision plans (Guardian)
- 401(k) retirement plan
- $100 monthly lifestyle credit
- Daily lunches and snacks in the office; dinner Monday–Thursday
- Fully subsidized gold-tier access to Wellhub (fitness/mental wellness partners)
- On-site gym in the building
Location & Legal
- Location: New York, NY — this is an in-office role requiring presence 5 days/week.
- Employment: If selected, you will be employed by Confidential Client (via Careertakes).
- Authorization: Candidates must be authorized to work in the United States.
- Accommodations: Confidential Client and Careertakes will consider reasonable accommodations consistent with applicable law.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
Negotiate a higher salary! Check the salary ranges for this job type in your area.
View My Salary Range