Data Scientist

Job Description

Data Scientist II, MCM | Confidential Employer

The Tone:
This is a full-time role at Confidential Employer, potentially located in the USA (e.g., Menlo Park, CA). Moloco specializes in building powerful AI advertising solutions, with a mission to democratize access to advanced machine learning technologies historically reserved for tech giants. This role focuses on Moloco Commerce Media (MCM), a key growth engine that enables marketplaces to utilize recent advances in AI to deliver relevant ads using first-party data. As a Data Scientist, you will significantly impact MCM’s strategic direction, from defining success metrics and evaluating new capabilities to informing future investment decisions, directly shaping the product’s evolution.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: In-person – USA (California) – Menlo Park
• Pay: $148,000–$180,000 yearly
• Team: MCM Data Science team
• Mission: Define success, evaluate new product capabilities, and inform future investment decisions for Moloco Commerce Media (MCM).
• Tech Stack: Python, SQL

What You’ll Actually Do
• Strategy Partner: Serve as an independent thought partner to product managers, proactively surfacing data-backed opportunities, sizing them, and informing roadmap prioritization with a clear point of view on what to build.
• Define Metrics: Establish comprehensive success metrics for new product capabilities, including north star and guardrail metrics, outlining the trade-offs involved and the thresholds guiding ramp decisions, while aligning Product and Engineering.
• Drive Experimentation: Design and implement robust experiments and evaluation methodologies for product launches, including scenarios where standard A/B testing is insufficient, then rigorously analyze results to provide clear recommendations (ship, iterate, or stop).
• Deep Dive Analysis: Conduct in-depth analyses using large-scale data across the ad-tech stack (ranking, retrieval, bidding, pacing) to thoroughly understand how product changes impact advertiser outcomes and marketplace dynamics, translating findings into actionable recommendations.
• Communicate Findings: Distill complex analytical insights into clear, concise narratives that product, engineering, and non-technical stakeholders can understand and act on, delivering comprehensive launch readouts and contributing data narratives to product reviews.

The Must-Haves
• Background: Bachelor’s, Master’s, or PhD in a quantitative discipline such as Statistics, Operations Research, Economics, or Mathematics, reflecting a strong foundation in analytical thought.
• Experience: 3+ years of industry experience in data science, analytics, or a related field (or an advanced degree with equivalent applied experience), coupled with a proven track record of partnering with product or business stakeholders to define success metrics, run experiments, and influence critical decisions using data.
• Skills: Strong proficiency in Python and SQL, particularly for analyzing large-scale datasets; a solid foundation in statistics, encompassing experimental design, hypothesis testing, and various statistical analysis techniques like regression; excellent communication skills for effectively presenting technical findings to non-technical stakeholders; and the ability to build strong relationships and collaborate effectively in a global, cross-functional organization.
• Bonus: Experience in ad-tech, marketplace, or e-commerce environments, specifically with bidding, ranking, or auction logic; prior experience evaluating machine learning or AI-driven systems in production, including offline evaluation, online experimentation, and ongoing performance monitoring; familiarity with causal inference methods or evaluation approaches where standard A/B testing is not applicable; and experience working with geographically distributed teams and stakeholders.