Data Scientist

🕒 September 30

🇺🇸 United States – Remote

💵 $130k - $160k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Northbeam

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

📣 Marketing

📦 Logistics

💼 Consulting

💰 $15M Series A on 2022-08

Marketing • Logistics • Consulting

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.

📋 Description

• Partner with customers and internal teams to understand marketing measurement questions and translate them into data science problems • Work with real-world customer data to ensure it is reliable and appropriate for modeling and measurement • Analyze model and experiment results, investigate unexpected outcomes, and identify potential data, modeling, or measurement issues • Translate complex statistical and modeling results into clear insights and actionable recommendations • Partner with Senior Data Scientists on complex methodological and modeling problems • Collaborate with cross-functional peers across Media Strategy, Customer Success, Product, and Engineering to support clients • Identify recurring challenges and opportunities to improve models, diagnostics, tooling, and processes • Build reusable analysis and diagnostic tools that make measurement more reliable and scalable • Contribute to new methodologies, models, and production measurement capabilities as the role develops • Explain statistical methodology, diagnose measurement issues, and communicate experimentation results to clients

🎯 Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or another highly quantitative field • 2+ years of experience building and deploying data science, machine learning, or AI systems in production • Strong foundation in statistics, machine learning, experimentation, and causal inference • Excellent verbal and written communication skills • Strong coding and debugging skills • Ability to write production-quality code and diagnose issues across the full stack • Service-oriented mindset and direct, hands-on customer problem-solving ability • Comfortable working in a fast-paced startup environment and driving projects from concept to production with a high degree of autonomy • Growth mindset, intellectual curiosity, and willingness to learn new domains, customer verticals, and measurement methodologies • Strong preference for a robust statistical background and prior experience in digital marketing or eCommerce analytics • MS preferred

🏖️ 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