Director, AI & Data Science

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $175k - $225k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Reflex Media, Inc.

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📣 Marketing

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Marketing • B2C • Artificial Intelligence

Reflex Media, Inc. is a brand development and management company that designs, builds, brands, markets, and operates consumer-facing digital services. The company emphasizes combining creativity, marketing strategy, and technology—particularly data science and AI/ML—to create and manage brands (notably dating services) and deliver seamless, secure user experiences. Reflex Media handles in-house product design, growth marketing, analytics, and platform management while promoting a collaborative, creative company culture.

📋 Description

• Lead the combined Data Engineering & Analytics, AI, and Data Science team of six to seven individual contributors and report to the Co-CEOs • Spend approximately half the time leading and half writing code, building models, and debugging production systems • Establish a unified moderation policy, ownership model, production-system inventory, and end-to-end upload traceability • Quantify human-review paths, root causes, costs, and fixes • Test AI against human moderators using held-out cases, independent reference decisions, sample sizes, and confidence intervals • Expand moderation automation in controlled stages with tested rollback procedures • Run monthly learning cycles using verified feedback, independent evaluation, and controlled releases • Version datasets, policies, prompts, and models for reproducibility and rollback • Operate production AI systems with monitoring, alerts, recovery documentation, and failure drills • Report quality, cost per outcome, revenue, efficiency, and member experience through an executive dashboard and weekly Co-CEO reviews • Build end-to-end AI customer support for member tickets and approved actions such as subscription changes and eligible refunds • Partner with Marketing, Product, and other departments on fraud, matching, onboarding, monetization, and retention initiatives • Rank AI opportunities by cost, revenue, efficiency, and member-experience impact • Review team members’ work, pair on difficult problems, provide weekly feedback, create growth plans, recruit talent, and address performance gaps • Set quarterly OKRs and leading and lagging KPIs for the function and direct reports • Manage work using Jira, Confluence, and Monday

🎯 Requirements

• Bachelor’s degree in Data Science, Computer Science, Software Engineering, or a closely related technical field required • Master’s or Ph.D. in CS, AI, ML, Statistics, or a related quantitative field strongly preferred • Seven or more years delivering production data or ML systems • Three or more years managing teams of individual contributors • Current or recent management of a hands-on team • Strong Python and SQL skills, with production code personally written in the past year • Ability to code in the interview • Experience designing, building, and operating ML and LLM systems end to end, from data pipelines through evaluation, deployment, and monitoring, on a major cloud platform • Experience leading an AI automation program in moderation, trust and safety, support, or a comparable decision system, from a measured human baseline to automated decisions at scale • Experience measuring false negatives and false positives separately, reporting uncertainty, maintaining clean test data, and building systems that improve through feedback and controlled updates • Ability to demonstrate measurable cost, revenue, efficiency, or member outcomes • Cross-functional AI opportunity identification and production delivery experience • Record of mentoring engineers and scientists into more senior contributors • Daily use of Claude, Claude Code, Cowork, or comparable AI tools • Nice to have: production work in multimodal or computer vision moderation, fraud detection, recommender systems, propensity, pricing, or lifetime value models • Experience with AWS, S3, Redshift, SageMaker, Bedrock, Looker, and Kubernetes is advantageous based on the stated stack • Must be eligible to work in the United States, as indicated by the application’s employment eligibility requirements

🏖️ Benefits

• 99% coverage of the medical base plan • Dental insurance • Vision insurance • 50% 401(k) match up to 6% • Flexible Spending Account • Flexible paid time off • Remote work within the US

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