Data Science Expert

SAP SE; Dubai; On-site; AED 280,000 - 520,000; Full time

Benefits offered by this job

Great benefits

Continuous learning

Career growth

Job summary

SAP SE in Dubai, UAE, is seeking a data scientist to turn data into decisions by identifying high-value business problems, framing them analytically, and delivering models that improve customer outcomes and product performance.

You will collaborate with product, engineering, sales, operations, and finance stakeholders, define success metrics, and translate findings into business actions. The role also explores NLP, LLM-assisted analytics, and governance for trustworthy analyses.

Qualifications

• 6+ years of data science experience.
• Ability to translate business problems into measurable analytical questions.
• Experience with AI/ML solutions and data storytelling.

Responsibilities

• Turn data into decisions by identifying high-value business problems and delivering models that improve outcomes.
• Partner with product, engineering, sales, operations, and finance to drive impact.
• Define success metrics, quantify impact, and translate findings into business actions.

Skills

Python

SQL

Statistics

ML techniques

NLP/LLM

Data storytelling

Experiment design

A/B testing

Forecasting

Cross-functional

Tools

Spark

Cloud data warehouses

BI tools

Notebooks

Job description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you'll build:

In this role, you'll turn data into decisions by identifying high-value business problems, framing them analytically, and delivering models and insights that improve customer outcomes and product performance. You'll work across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning, while partnering closely with product, engineering, sales, operations, or finance stakeholders. Your work will not stop at model accuracy: you'll define success metrics, quantify impact, translate findings into business actions, and help teams prioritize based on value, risk, and feasibility. You'll also contribute to AI-driven analytics using NLP, embeddings, and LLM-assisted workflows for summarization, classification, knowledge extraction, and decision support. The role requires someone who can connect business context with rigorous analysis, explain trade-offs clearly, and influence roadmap decisions with evidence.

What you bring:

• Strong command of Python and SQL for data extraction, statistical analysis, feature engineering, model development, and analytical automation
• You have a deep understanding of statistics and probability, including hypothesis testing, experiment design, A/B testing, regression, causal thinking, and interpreting uncertainty
• You have hands-on experience with a range of machine learning techniques, such as classification, forecasting, clustering, recommendation systems, anomaly detection, and propensity modeling
• You are skilled at framing business problems into measurable analytical questions, defining success metrics, and connecting model outputs to commercial or operational decisions
• You excel at building clear data narratives through dashboards, visualizations, presentations, and concise executive communication
• You demonstrate practical expertise in feature selection, model validation, error analysis, bias identification, and balancing trade-offs between accuracy and usability
• You have exposure to modern AI approaches, including NLP, generative AI, and LLM-assisted analytics (e.g., semantic search, text classification, summarization, prompt-based analysis)
• You are experienced with modern analytics and data platforms, such as notebooks, BI tools, cloud data warehouses, Spark, and large-scale data processing environments
• You have a strong understanding of data quality, lineage, governance, and the discipline required to produce trustworthy and reusable analyses

About You

• 6+ years of data science experience
• You are curious and bring a structured approach to problem-solving, with the ability to break down complex challenges into clear, actionable steps
• You are a strong collaborator who enjoys working cross-functionally and influencing decisions through data
• You are motivated by driving real-world impact, ensuring your analyses and models lead to measurable business outcomes
• You continuously seek to learn and stay current with evolving data science and AI trends

Where you belong:

You will be part of a growing AI and industry expert team dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high-impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.

This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real-world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer-centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast-evolving AI landscape.

About the team

We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy, not just produce analysis. We value sharp thinking, business curiosity, and clear communication.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [e-mail].

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

Please note that any violation of these guidelines may result in disqualification from the hiring process.