Senior Data Scientist

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
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