Data Scientist - Marketing

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.

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 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.

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 data is prepared and structured for analysis.

• Apply data cleaning, modelling, and feature engineering techniques to prepare data for AI models.

• Build and validate basic machine learning models (for example, using Python's scikit-learn) to address business problems such as predictions or classifications.

• Perform advanced data manipulation and feature engineering using Python (pandas) and SQL to handle large datasets and complex transformations.

• Apply statistical techniques and quantitative analyses (e.g., A/B testing, regression analysis, time-series forecasting) to inform decision-making.

• Deliver end-to-end analytics projects, from understanding requirements to delivering final reports or model outputs, ensuring clarity and accuracy at each step.

• Collaborate with peers and stakeholders to interpret results, answer follow-up questions, and ensure that insights are understood and utilized in decision-making.

• Clearly communicate findings and technical concepts to non-technical stakeholders, tailoring the level of detail to the audience.

• Apply software engineering practices in high quality, clean, maintainable code that implements reproducible research and solution.

Qualifications

• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Mathematics, Physics).

• At least 3 years of experience in a data science or advanced analytics role.

• Strong skills in data analysis with Python (including libraries like pandas, numpy, scikit-learn) and proficient SQL ability.

• Solid understanding of statistics and experience with experimental design and analysis (for instance, A/B testing).

• Hands-on experience developing and evaluating machine learning models on real-world datasets.

• Ability to transform and clean large datasets, and knowledge of data pipeline or ETL processes.

• Excellent communication skills to explain complex analytical results to business stakeholders, and a collaborative approach to problem-solving.

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

• The flexibility of remote work, including optional WeWork access

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.

CLICK THE APPLY BUTTON TO GO TO THEIR CAREERS PAGE WHERE YOU CAN CHECK THIS JOB AND ALL OTHER OPPORTUNITIES AVAILABLE