Data Scientist

Job not on LinkedIn

September 24

🏄 California – Remote

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

💵 $125k - $150k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 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

• Support both new and existing data science–powered products • Contribute to forecasting and experimentation capabilities, improving model accuracy and expanding measurement coverage • Explain statistical concepts to customers, troubleshoot measurement issues, and gather feedback to enhance Northbeam's product suite • Collaborate with engineering and product teams to translate customer needs into technical requirements • Provide technical expertise and support for non-technical stakeholders, both internal and external • Work directly with customers and internal teams to deliver reliable marketing measurement solutions • Flexibly shift between technical implementation and customer support as needs evolve • Grow through mentorship from senior team members and take ownership of technical projects

🎯 Requirements

• Bachelor's degree (MS preferred) in Mathematics, Computer Science, or a highly quantitative STEM field • 2+ years experience in Data science and ML roles • Solid foundation in statistics, machine learning, and causal inference (examples: regression, time series analysis, A/B testing, Bayesian modeling, signal processing) • Proficiency in Python/R, SQL, and experience with data platforms and statistical modeling libraries • Experience with (or enthusiasm about) working in a small, fast-paced company, and desire to drive the implementation of projects start-to-finish • Strong growth mindset, desire to learn marketing measurement concepts • Comfort explaining technical concepts to non-technical audiences and troubleshooting customer issues • Bonus: Any experience in marketing attribution, MMM, experimentation, or related measurement challenges • Bonus: Experience developing and validating production models that drive real business decisions • Bonus: Familiarity with MLOps practices and data pipeline orchestration tools

🏖️ Benefits

• an equity package • comprehensive healthcare benefits (medical, dental, and vision) • a 401(k) plan • a flexible PTO policy • 12 company-paid holidays • 12 weeks of paid parental leave • a $500 work-from-home stipend • remote-friendly company with offices in San Francisco and Los Angeles