• Cross-functional Champion: Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations. • Revenue Optimization: Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall. • Data-driven Insights: Lead the charge in improving our quantitative analysis techniques (simulation models, A/B testing, causal impact analysis, etc.) to better influence audiences on strategic direction, with opportunities to present these insights to leadership on a regular basis. • Data Infrastructure: Own, refine, and improve existing data pipelines to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities. • Role Model: Set the standard for the team in terms of analytical thinking and excellence.

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. Why join our Data team? - Deel is a fast-growing company with a developing Data Science team, which gives the opportunity to contribute to our practices, direction, and tooling selection - The nature of the role will be mostly project focused, so a lot of opportunity to dive deep into a single problem and solve it properly - This role in particular aims to develop data insights from a large salary grouping. There’s scope to define how the data pipelines will work, and what statistical techniques and ML approaches to use - Over 90% of the team’s work makes it to production which is rare for Data science/AI teams, we aim to deliver value each quarter Responsibilities - Solve real world problems using Data Science and statistical techniques - Implement functionality which can be served in production for internal customers as well as external customers - Designing, building and maintaining data sets - Data cleaning & modelling - Feature engineering - Feature extraction - Building end-to-end data & machine learning pipelines - Conduct reproducible research - Collaborate with Engineering, Operations, Product Management and other functions in the company to deliver algorithmic solutions - Apply software engineering practices in our code that implements our research and its infrastructure - Produce high quality, clean, maintainable reproducible research and code Requirements - High proficiency in Python and its data science stack. - Background and experience in data/backend engineering, ideally in production environments (3+ years) (Mid/Senior Level role) - Background and hands-on experience (2+ years) in implementing research and algorithms in Python, specifically in information retrieval, text processing, NLP, and machine learning - Experience with developing AI solutions across a variety of domains - Track record of good written and verbal communication of complex things in a simple way as well as ability to collaborate well with people from different backgrounds and professions - A Bachelor’s degree or higher - Must have hands on experience working with SQL - Must have hands on experience working with Python (Preferably with Pandas) - Must be strong at applying statistical methods to data - Must be strong with data pipelining - Must be an independent thinker and have the ability to work independently to solve problems 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. 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. 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 is an equal-opportunity employer and is committed to cultivating a diverse and inclusive workplace that reflects different abilities, backgrounds, beliefs, experiences, identities and perspectives. Deel will provide accommodations on request throughout the recruitment, selection and assessment process for applicants with disabilities. If you require accommodations, please inform our Talent Acquisition Team via this link and a team member will be in touch to ensure your equal participation. If you have difficulty accessing the form, please email at recruiting@deel.com. 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 does utilise Automated Employment Decision Tools (AEDT) and AI systems to assist in evaluating candidates based on experience level, technical skills and qualifications. As a fully remote company, we also utilise AI-powered deepfake and fraud detection technologies to verify the authenticity of candidate identities and interactions during assessments and interviews. 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 Privacy Policy. - For NYC Residents: In accordance with NYC Local Law 144, an independent bias audit has been conducted on AEDT; results are available at Ashby, Covey.

Key Responsibilities • Create and curate high‑quality datasets (structured & unstructured) for AI/LLM training • Generate synthetic data, prompts, and “golden answers” • Evaluate AI‑generated outputs for quality, logic, and accuracy • Review and improve evaluation rubrics and scoring criteria • Rebuild and validate Python/Colab notebooks for data science problems • Assess model‑generated code across multiple programming languages • Review dashboards and data visualizations for correctness and insights Required Skills • Strong proficiency in Python (pandas, numpy, Jupyter/Colab) • Solid foundation in Data Science, ML, and Statistics • Experience with data visualization (matplotlib, plotly, etc.) • Ability to evaluate complex AI outputs and analytical reasoning • Experience with prompt engineering or AI evaluation is a plus • Strong attention to detail and analytical thinking Ideal Candidate A versatile data scientist or AI specialist who enjoys both building and evaluating data, models, and code, and can work with precision in fast‑moving AI projects. Experience: 4 to 8 years of professional experience in Data Analytics or a related technical field. Education: Engineering background (B.E./B.Tech or equivalent). At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

• Own our most critical business metrics and reporting. • Work closely with leadership and investors in a fast-growing B2B SaaS environment.