Senior Data Scientist

SAP SE; Newtown Square (Delaware County); On-site; USD 145,000 - 196,000; Full time

Job summary

SAP America, Inc. seeks a Senior Data Scientist to contribute to a data-centric culture at our Newtown Square, PA location. You will support analytics for product, engineering, and cross-functional teams, building dashboards and models to drive decisions.

You will translate business needs into datasets and reports, define KPIs, and collaborate across product, marketing, sales, and finance to forecast and monitor success metrics.

Qualifications

• Experience designing and operating ETL/ELT pipelines.
• Proficient in SQL and data warehousing concepts.
• Strong analytics and tooling to support product decisions.

Responsibilities

• Collaborate with product, marketing, sales and finance on analytics needs.
• Develop dashboards and reports to provide actionable insights.
• Translate requirements into well-documented datasets and dashboards.
• Define KPIs to improve development, QA, release and support processes.
• Communicate insights across personas to influence decisions.

Skills

Financial data analysis

ETL pipelines design

Data transformation

Large-scale data analysis

ML & LLMs

Data visualization

BI tools

Education

Bachelor's degree in CS/Data Science

Tools

Apache Airflow

MySQL

ADLS Gen2

Databricks

PySpark

Power BI

SAP Analytics Cloud

Windows/Linux

Job description

Purpose and Objective

SAP America, Inc. seeks a Senior Data Scientist at our Newtown Square, PA location to contribute to the nurturing of a data-centric culture within the Product and Engineering teams.

Expectations and Tasks

Support product and customer analytics initiatives to deliver data-backed insights to various stakeholders. Collaborate with departments such as product, marketing, sales and finance to understand and address product’s data and analytics requirements. Develop advanced analytics tools, dashboards, and reports to provide actionable insights for product leaders and cross-functional collaborators. Provide operational support to the engineering development team by translating business and functional requirements into well-documented datasets and actionable reporting dashboards. Define Key Performance Indicators (KPIs) that enhance development, quality assurance, release, and customer support processes through timely insights. Identify and measure product success via goal setting, forecasting, and ongoing monitoring of key metrics. Communicate insights and strategies effectively across different personas, incorporating feedback for continuous improvement. Collaborate closely with product, engineering, and cross-functional teams to drive data-informed decisions and product strategy execution. Utilize knowledge and experience in transforming and analyzing large-scale datasets. Utilize knowledge and experience of statistical models, machine learning algorithms, and large language models (LLMs) for advanced data analysis. Socializing insights, analysis, strategies with different personas, soliciting feedback on where to improve by providing data insights to inform and support engineering development, product strategy and investment decisions.

Education and Occupational Experience

Bachelor’s degree or foreign equivalent in Computer Science, Data Science, Finance, Mathematics, or a related field of study and six (6) years of progressive post-baccalaureate experience in the job offered or related occupation. Alternatively, a Master’s degree or foreign equivalent in Computer Science, Data Science, Finance, Mathematics, or a related field of study and four (4) years of experience in the job offered or related occupation.

Qualifications/Skills and Competencies Experience

Experience must include four (4) years involving each of the following:

• Financial data analysis utilizing Microsoft Excel and project-based consulting presentation utilizing Microsoft PowerPoint;
• Designing and managing ETL/ELT data pipelines using REST architecture with Apache Airflow;
• Ingesting, transforming, and storing structured and semi-structured data into data warehouses including MySQL database and ADLS Gen2;
• Transforming and analyzing large-scale datasets using Databricks, PySpark SQL, MySQL and Python;
• Applying machine learning and large language models (LLMs) to process structured and unstructured data;
• Developing data visualizations and BI solutions with Power BI and SAP Analytics Cloud; and
• Utilizing SAP Business Warehouse, SAC/SAP Datasphere, Cloud for Semantics, and Windows/Linux virtual environments.

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.

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] . Requests for reasonable accommodation will be considered on a case-by-case basis.

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

Range Transparency : The annual base salary range for this position is $ 144,685 - $195,976. SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards 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 $144,685 - $222,700 . 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 .

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

Additional Locations:

Job Title: Senior Data Scientist

Location: Newtown Square, PA

Employment Type: Regular Full Time

Work Area: Software-Development Operations

Expected Travel: 0%