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We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

What you'll do

+ Answer business questions by applying statistical techniques and/or innovative/quantitative analytical approaches to large data sets.

+ Influence strategic business decisions and operational decisions by conducting customer segmentation & profiling, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.

+ Deliver conclusions in support of 'insight-to-Influence' strategic business decisions and operational decisions,

+ Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges

+ Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.

+ Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.

+ Partner with cross-functional teams to inform, influence, and execute strategy decisions

+ Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.

+ Communicate insights effectively to drive business outcomes

What you bring

+ Minimum of 8 Years of experience in Data Science or related fields

+ Proficiency in Python, R, Pyspark, SQL data manipulation programming languages

+ Expertise in applying a broad variety of statistical concepts (e.g. classification, regression, A/B tests, clustering, deep learning, probability) to business problems

+ Experience with Databricks or equivalent “big data” platform

+ Experience with deploying machine learning models into production systems

+ Proven ability to advise, present to and serve as a thought partner to senior executives

+ Preferred: M.S., or PhD. in Statistics, AI, Predictive Analytics, Computer Science, Math, Machine Learning, Operations Research, Economics, or another quantitative field

Meet your team

The PM&I Team delivers trusted, timely, impactful reports and analyses that help marketers make better decisions in less time by evaluating where the business is now and anticipating where it may be in the future.

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: [email protected].

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.

**Compensation Range Transparency** : SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 142,500 - 327,100 USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits (https://www.sapnorthamericabenefits.com/en/public/welcome) .

Requisition ID: 425330 | Work Area:Marketing | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid