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About the Role

In this role, you design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex, business-critical problems. You will translate strategic and operational challenges into rigorous analytical solutions, working closely with customers to deliver scalable, enterprise-grade outcomes that drive measurable business value. You are accountable for the quality, impact, and delivery of complex analytical initiatives, acting as a subject-matter expert and ensuring data-driven solutions are robust, reliable, and aligned with business objectives.

Responsibilities

Transform complex business challenges into data-driven intelligence by identifying high-value problems, framing them analytically, and engineering robust features and insights.
Design, develop, train, and implement mathematical models, algorithms, and machine learning solutions to solve complex business problems.
Apply advanced techniques across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning.
Integrate analytical and machine learning solutions into products, prototypes, or business processes, ensuring enterprise-grade scalability and robustness.
Define success metrics, quantify business impact, and translate analytical results into clear, actionable recommendations for decision-makers.
Lead or manage complex analytical workstreams or projects, including deliverables, milestones, risks, and escalations, as appropriate.
Communicate insights, trade-offs, and recommendations effectively to cross-functional teams and customer stakeholders, influencing decisions through evidence and expertise.
Work in an embedded, customer-facing setup, collaborating closely with customer teams to deeply understand their data, applications, and business context — co-developing impactful data and AI-driven solutions.

Requirements

10 + years of expert-level proficiency in data science and machine learning, with strong command of Python and SQL, and the ability to design, validate, and optimize end-to-end analytical and ML solutions.
Hands-on expertise with Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.
Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation.
Proven experience applying a wide range of ML techniques — classification, forecasting, clustering, recommendation systems, anomaly detection — balancing accuracy, robustness, interpretability, and usability at scale.
Strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions.
Experience delivering production-ready analytics and ML systems on modern data platforms, with a strong focus on data quality, governance, and reusability.
Exposure to SAP data landscapes including SAP S/4HANA, SAP BW/4HANA, SAP HANA Cloud, and familiarity with SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services.
Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes.
Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive-ready insights.
Proactively leverage AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration.

Skills

Python
SQL
TensorFlow
PyTorch
Scikit-learn
XGBoost
Statistics
Experimentation
Hypothesis testing
Experimental design
Causal inference
Uncertainty interpretation
Classification
Forecasting
Clustering
Recommendation systems
Anomaly detection
Data quality
Data governance
Reusability
SAP S/4HANA
SAP BW/4HANA
SAP HANA Cloud
SAP Business Technology Platform (BTP)
AI Core
AI Launchpad
SAP AI services
Agentic AI
AI agents
Communication
Collaboration
Data narratives
Executive-ready insights
AI

Location

New York City

Work Type

Hybrid
Regular Full Time

Experience Level

10 + years
Expert-level

Salary/Compensations

176300-374200USD

Benefits

Constant learning
Skill growth
Great benefits
Team that wants you to grow and succeed
SAP North America Benefits

About the Company

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.
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.

Equal Opportunity

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.