Director, Data Science

Job not on LinkedIn

September 12

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $220k - $245k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Northbeam

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eCommerce • SaaS • Artificial Intelligence

Northbeam is a marketing intelligence platform that specializes in multi-touch attribution and media mix modeling, powered by machine learning, to enhance profitable growth. The platform offers tools like omnichannel planning, real-time data analytics, and creative analytics to optimize ad spends, improve cross-channel performance, and drive growth for ecommerce brands. Trusted by top brands, Northbeam provides data-driven insights into customer journeys and ad performance with a focus on first-party data. Its solutions help businesses understand conversion paths, optimize budget mixes, and tackle creative fatigue for maximum return on ad spend.

11 - 50 employees

Founded 2020

🛍️ eCommerce

☁️ SaaS

🤖 Artificial Intelligence

💰 $15M Series A on 2022-08

📋 Description

• Lead the team that builds the intelligence layer underpinning Northbeam's marketing measurement and data-driven products • Hands-on leadership focused on executing the technical roadmap, guiding technical decisions, and ensuring project delivery and accountability • Coach, mentor, and unblock the team; hire and develop top talent • Partner closely with Engineering and Product to shape technical design, align milestones, and ensure execution velocity • Collaborate with R&D leadership to build systems that drive continuous innovation and measurement accuracy • Own execution of the technical roadmap for data science models and scalable data products • Lead cross-functional projects end-to-end—from scoping to launch—with clear milestones and quality standards • Translate customer pain points into technical requirements and DS solution designs • Recommend and translate statistical outputs and data science models into customer-facing features and enterprise solutions • Establish repeatable validation processes for model release and collaborate with Data Engineering to ensure data quality and robust edge-case handling

🎯 Requirements

• 8+ years in data science or ML engineering roles, including 5+ years managing senior data scientists or technical leads • Proven ability to hire, develop, and retain senior technical talent while maintaining a high-performing team culture • Master’s degree (or equivalent experience) in statistics, econometrics, machine learning, or a related quantitative field • Strong foundation in causal inference, time series analysis, Bayesian modeling, and experimental design • Experience designing and deploying ML systems at scale in collaboration with engineering teams • Skilled at influencing without direct authority and partnering with engineering, product, and business stakeholders • Proficiency in Python, R, and SQL • Experience with modern data platforms (e.g., BigQuery, Snowflake), MLOps practices, and pipeline orchestration tools • Proven ability in shaping data infrastructure requirements, aligning with product teams • Strong communication skills with demonstrated excellence in translating complex statistical concepts for non-technical stakeholders • Bonus: Experience with identity graph, attribution modeling, or experiment design in marketing/advertising contexts • Bonus: Familiarity with customer acquisition funnels and enterprise sales cycles • Bonus: Prior work in MarTech/AdTech or B2B SaaS

🏖️ Benefits

• Equity package • Comprehensive healthcare benefits (medical, dental, and vision) • 401(k) plan • Flexible PTO policy • 12 company-paid holidays • 12 weeks of paid parental leave • $500 work-from-home stipend • Remote-friendly work arrangements (offices in San Francisco and Los Angeles)