Rare Carat - Lead Data Scientist - SQL/Python (5-8 yrs)

About Rare Carat

In just 8 years, Rare Carat (www.rarecarat.com) has grown to be the #1 marketplace for diamonds in the United States, and was called the "Secret to buying a diamond" by the New York Times.

Launched in 2016 in Forbes as "Kayak" for diamonds, our company has been featured TechCrunch, NPR, USA Today, and CNBC - most recently in the New York Post for selling a record-setting $2.5m diamond online.

We have grown to over 150 employees, but remain a very flat and close-knit team committed to learning from each other, and having the best idea win.

Why join us :

Remote-First Culture :

Work from anywhere, collaborate with a global team, and maintain a flexible schedule

Impactful Role :

Shape key marketing and pricing decisions while exploring generative AI innovations.

Our culture is unique :

We have a global, remote team of young people taking on more responsibility than most companies would give. We have a bias for action, and a meritocracy where the best ideas win.

Professional Growth: Learn from a team of domain experts and gain exposure to cutting-edge analytics, AI, and e-commerce technologies.

Collaborative Environment: We value mutual respect, responsibility, and the best ideas-no matter where they come from.

Competitive Package: We offer a market-driven competitive salary

We're looking for a skilled Lead Data Scientist who thrives on turning data into impactful insights.

In this role, you'll work on marketing analytics, pricing strategy, and innovative AI projects-developing models that optimize ad spending, predict campaign performance, support a better product

experience, and drive new AI solutions. If you're passionate about using data to inform decisions and enjoy seeing the real-world results of your work, we'd love to hear from you.

Key Responsibilities

1.Marketing Performance & Analytics:

Monitor and analyze key performance metrics. Translate data into actionable insights using A/B testing and advanced analytics to drive profitable growth. Foster a culture of experimentation, iterating rapidly to refine targeting, bidding, and creative strategies

Establish and champion incrementality testing frameworks to measure channel effectiveness and guide strategic budget allocation

Develop and refine attribution and modeling frameworks (multi-touch attribution, media mix modeling, incrementality testing).

2.Advanced analytics

Develop forecasting models for market trends, customer behavior, and product demand.

Recommend data-driven pricing and promotion strategies to maximize revenue and profitability.

Identify opportunities for AI integration (including generative models) and build ML models (e.g., for image classification, intent scoring, churn prediction).

3.Cross-Functional Collaboration:

Work closely with Marketing, Product, Engineering, and Operations to integrate data-driven insights into daily decision-making.

Present findings in a clear, actionable format to both technical and non-technical stakeholders.

Qualifications and Experience :

- 5+ years in Data Science, Analytics, or a related field with a track record of delivering results.

- Proficiency in SQL and Python (or a similar language).

- Experience with ML frameworks (e.g., scikit-learn, TensorFlow) and building scalable data pipelines.

- A solid understanding of statistics, A/B testing, and working with large advertising datasets.

Mindset & Communication :

- A data-driven approach with the ability to turn complex data into clear, concise insights.

- Strong collaboration skills and experience working in fast-paced, cross-functional teams.

- Eagerness to adapt, manage multiple projects, and take on new challenges.