Deel
Data Scientist - Marketing
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Data Scientist - Marketing
Product Data Scientist (m/f/x)
About Deel
Is Who We Are alive, 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.
Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.
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 building just 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 109 countries, ensuring people get paid and protected, no matter where they are.
Our global impact is mirrored by our achievements: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator’s top companies list—with 4.83/5 average ratings from 15,000+ reviews across G2, Trustpilot, Capterra, Apple, and Google.
Your experience at Deel will be a career accelerator. You’ll work at the forefront of the global work revolution, tackling challenges that impact millions of people. Backed by $17.3 billion in valuation and $1B 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.
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Responsibilities
- Extract and analyze data from databases and data warehouses to generate actionable insights for departmental stakeholders.
- Develop and maintain data pipelines and analytical datasets (using SQL and tools like dbt) to ensure clean, well-structured data for analysis.
- Apply data cleaning, modeling, and feature engineering techniques to prepare data for AI models.
- Build and validate basic machine learning models (e.g., using Python’s scikit-learn) for predictions or classifications.
- Perform advanced data manipulation and feature engineering using Python (pandas) and SQL for handling large and complex datasets.
- Apply statistical techniques (e.g., A/B testing, regression analysis, and time-series forecasting) to inform decision-making.
- Deliver end-to-end analytics projects, from requirement gathering to reporting, ensuring clarity and accuracy at every stage.
- Collaborate with peers and stakeholders to interpret results, answer questions, and ensure insights drive decisions.
- Clearly communicate complex findings and technical concepts to non-technical stakeholders, adapting complexity as needed.
- Apply software engineering principles to develop high-quality, scalable, reusable, and maintainable code for reproducible research and solutions.
Qualifications
- Bachelor’s or Master’s degree in a relevant field (Computer Science, Mathematics, Physics, or related).
- At least 3 years of experience in data science or advanced analytics.
- Proficiency in Python (libraries like pandas, numpy, scikit-learn) and advanced SQL for querying and optimizing data.
- Strong statistical understanding with hands-on A/B testing and experimental design experience.
- Experience building and refining ML models on real-world data, using frameworks like scikit-learn or XGBoost.
- Ability to clean, transform, and analyze large datasets, and knowledge of ETL/data pipeline tools.
- Excellent communication skills to translate technical results for business teams, with a collaborative approach to problem-solving.
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Total Rewards
Our workforce deserves competitive, fair compensation that values your contributions. Our total rewards program recognizes our commitment to inclusivity and accessibility:
- Salary is provided as a gross base rate and localized to your country (converted at market-aligned rates).
- For commercial roles with commission potential, the quoted figure represents On-Target Earnings (OTE), including base and target commission.
- No salary history questions: Offers are based on job scope, skills, and location—what you bring, not past earning history.
Perks & Benefits
✅ Stock grant opportunities (eligibility varies by role, status, and location). ✅ IQR-approved flexible benefits, including health, wellness, and learning programs. ✅ Full remote flexibility with optional WeWork access. ✅ Recognition programs tied to performance and contribution.
Why Deel?
- A commitment to diversity, equity, and inclusion (DEI)—candidates from all backgrounds are welcome.
- Contribute to a mission-driven workplace, impacting millions of lives daily.
- Join the fastest-growing SaaS company of all time, with career growth built into the culture.
Our Commitments
✏ NYC Local Law 144 Compliance: We’ve conducted an independent bias audit for any Automated Employment Decision Tools (AEDT). 🤝 Disability and Accessibility: Request accommodations for applications, interviews, or assessments by emailing recruiting@deel.com—our team will support equal participation.
For legislation details, pilot roles, contractability, or IT security policies, policies@deel.com.
Deel is an equal-opportunity employer. Biases in AI are regularly audited under ethical governance.
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