Senior Data Scientist — Product Analytics & ML

SAP SE; Pennsylvania; On-site; USD 145,000 - 196,000; Full time

Job summary

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

Responsibilities include developing analytics tools and dashboards, partnering with product, marketing, sales and finance, and translating business requirements into datasets and reporting solutions. The role emphasizes KPI definition, forecasting, and data-informed decision making.

Qualifications

• Experience must include four (4) years involving each of the following: Financial data analysis using Excel and PowerPoint presentations.
• Designing and managing ETL/ELT data pipelines with REST and Airflow.
• Ingesting, transforming, and storing data into data warehouses including MySQL and ADLS Gen2.
• Transforming and analyzing large-scale datasets with Databricks, PySpark SQL, MySQL and Python.
• Applying machine learning and large language models (LLMs) to process data.
• Developing data visualizations with Power BI and SAP Analytics Cloud.
• Using SAP BW, SAC/Datasphere, Cloud for Semantics, and Windows/Linux VMs.

Responsibilities

• Support product and customer analytics initiatives to deliver data-backed insights to stakeholders.
• Collaborate with product, marketing, sales and finance to address analytics requirements.
• Develop analytics tools, dashboards, and reports for product leaders and cross-functional teams.
• Provide operational support to engineering by translating requirements into datasets and dashboards.
• Define KPIs to improve development, QA, release, and customer support with timely insights.
• Identify and measure product success through goals, forecasts, and monitoring of metrics.
• Communicate insights across personas and solicit feedback to improve decisions.
• Collaborate with cross-functional teams to drive data-informed product strategy.
• Utilize large-scale datasets and ML/LLMs for advanced analysis.

Skills

Financial data analysis

PowerPoint presentations

ETL/ELT pipelines

REST architecture

Apache Airflow

Data warehouses

MySQL

ADLS Gen2

Databricks

PySpark SQL

Python

Machine learning

LLMs

Power BI

SAP Analytics Cloud

SAP BW

SAC Datasphere

Windows/Linux VMs

Education

Bachelor’s degree in Computer Science, Data Science, Finance, Mathematics, or related field

Master’s degree in Computer Science, Data Science, Finance, Mathematics, or related field

Tools

REST architecture with Apache Airflow

MySQL

ADLS Gen2

Databricks

PySpark SQL

Python

Power BI

SAP Analytics Cloud

SAP BW / SAC

Windows/Linux virtualization

Job description

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

Responsibilities include developing analytics tools and dashboards, partnering with product, marketing, sales and finance, and translating business requirements into datasets and reporting solutions. The role emphasizes KPI definition, forecasting, and data-informed decision making.