Marketing Science Lead

Deel; España; Híbrido; EUR 77.000 - 112.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock grants

Additional perks

Flexible office membership

Descripción de la vacante

Deel is seeking a Growth Marketing Science Lead to architect a data-driven Test and Learn ecosystem that optimizes paid marketing across channels. You will design an accelerated experimentation roadmap, provide strategic briefs, and uncover hidden growth levers using advanced attribution and data infrastructure.

The role emphasizes collaboration with analytics engineering, leveraging Snowflake via dbt, and staying ahead with alpha/beta ad platform features to drive scale in a global SaaS

Formación

• : 5+ years in a Data Analytics or Growth Marketing role, ideally within a high-spend B2B environment.
• : Proficiency in SQL, Looker, Snowflake or comparable stack.
• : Deep understanding of experimentation methodology, sample size calculation, p-values and confidence intervals.
• : Familiarity with the B2B sales funnel
• : A growth mindset - curious and eager to learn.

Responsabilidades

• Experimentation Roadmap: Design and lead a high-velocity A/B and multivariate testing roadmap across channels, campaign types, ad creatives and audience segments.
• Strategic Guidance: Serve as the strategic pulse for the Paid Marketing team with data-backed briefs.
• Opportunity Discovery: Mine data for untapped growth levers and propose business cases for expansion.
• Platform Alpha & Best Practices: Stay at the bleeding edge of ad platform capabilities; test alpha/beta features to stay ahead of benchmarks.
• Advanced Attribution: Refine multi-touch attribution models to measure incremental impact of non-linear B2B journeys.
• Marketing Data Infrastructure: Partner with Analytics Engineering to build scalable data models in Snowflake via dbt and present performance metrics.

Conocimientos

SQL

Looker

Snowflake

dbt

Experimentation

B2B funnel

Growth mindset

Herramientas

Snowflake

dbt

Descripción del empleo

Who We Are Is What We Do. Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.

Why should you be part of our success story? As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world‑class companies – breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are.

Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator's top companies list – all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google.

Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum—backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought‑after leader in the transformation of global work.

As the Growth Marketing Science Lead, you will be the architect of our "Test and Learn" ecosystem.

Responsibilities

• Experimentation Roadmap: Design and lead a high-velocity A/B and multivariate testing roadmap across channels, campaign types, ad creatives and audience segments.
• Strategic Guidance: Serve as the "strategic pulse" for the Paid Marketing team. Provide data-backed briefs that tell Channel Managers exactly where to pivot spend based on test winners.
• Opportunity Discovery: Go beyond standard reporting to "mine" data for untapped growth levers. Identify patterns that haven't been scaled and propose the business case for expansion.
• Platform Alpha & Best Practices: Stay at the bleeding edge of ad platform capabilities (Google, Meta, LinkedIn). Experiment with "alpha/beta" features (e.g., Value-Based Bidding, PMax experimentation) to ensure our stack is consistently ahead of industry benchmarks.
• Advanced Attribution: Continuously refine our multi-touch attribution (MTA) and Media Mix Modeling (MMM) models to measure the incremental impact of non-linear B2B buyer journeys.
• Marketing Data Infrastructure: Partner with Analytics Engineering to build clean, scalable data models in Snowflake (via dbt) that specifically track experiment lift and incrementalities, and present their performance metrics in dashboard.

Desired Skills And Competencies

• 5+ years in a Data Analytics or Growth Marketing role, ideally within a high-spend B2B environment.
• Proficiency in SQL, Looker, Snowflake or comparable stack.
• Deep understanding of experimentation methodology, sample size calculation, p-values and confidence intervals.
• Familiarity with the B2B sales funnel
• A "growth mindset" - curious and eager to learn

Total Rewards

Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.

• Our salary range reflects gross base salary. For commercial roles with commission eligibility, this figure represents On-Target Earnings (OTE), inclusive of base salary and target commission.
• Salary ranges are quoted in USD as a consistent global reference. Your offer will be localized to your country's currency using a market-aligned conversion.
• Final pay is based on objective, job-related criteria including experience, skills, and location.
• We don't ask about salary history. Offers are based on the role and what you bring to it.

Some things you'll enjoy

• Stock grant opportunities dependent on your role, employment status and location
• Additional perks and benefits based on your employment status and country
• Optional flexible working office membership, with IWG

At Deel, we're an equal‑opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics.

Unless otherwise agreed, we will communicate with job applicants using Deel-specific emails, which include @deel.com and other acquired company emails like @payspace.com and @paygroup.com. You can view the most up-to-date job listings at Deel by visiting our careers page.

Deel welcomes persons with disabilities to apply to any of our open roles. We will provide application and/or interview accommodations on request throughout the recruitment, selection and assessment process for applicants with disabilities or other needs. If you require application and/or interview accommodations, please inform our Talent Acquisition Team via email ([e-mail]) and a team member will be in touch to ensure your equal participation.

As part of our hiring process, we primarily rely on interviews and role-related assessments. In limited cases, we may also consider informal background information relevant to the role, in line with our privacy and fairness obligations.

This application process may utilise Automated Employment Decision Tools (AEDT) and AI systems to assist in evaluating candidates based on experience level, technical skills and qualifications. This processing is conducted in compliance with applicable Data Protection, AI Governance and Labour Laws. We ensure human oversight is maintained in all final hiring decisions. Your personal data is not used to train AI models. For more information on how we process your personal data, please see our Recruitment Privacy Policy.

• For NYC Residents: In accordance with NYC Local Law 144, an independent bias audit has been conducted on AEDT.