Sr Data Scientist

Key Skills

Big Data Technology, Data science techniques, Database, Machine learning techniques, Mathematical modeling, PySpark, Python Programming, Scene understanding, SQL, Tableau

Job Description

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. 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. Apply now!

The Challenge / Job

As the Data Scientist in the Global Experience Management Office (XMO) you will bring the power of our data to SAP, itself. You will help analyze our own experience, operational and product data to build and grow a deeply impactful XM program. The data engineering and analytics you deliver will strategically advance how SAP ideates, builds, measures, and improves its own experience for employees, customers and partners. You will use your quantitative skills to analyze disparate experience data sources (e.g., NPS, Social Media, Call/Case Volumes, Product feedback) to present comprehensive views of experience with SAP process, services and products. You will continue to build models and look for opportunities to leverage data across the company as we build a world-class XM Program at SAP.

What Success Looks Like in the Role

You inspire those around you to be obsessed with data and the stories you can tell. You excel at understanding how data flows throughout SAP and develop strategies and tools to help the XMO bring data together from across the company. Consolidate data from different experience data and operational data platforms into a single platform using API calls or ODBC connections for survey steering or in order to analyze the feedback. You love turning data into insights. You thrive when people take action on the insights you provide. You have SAP internal stakeholders craving more. You understand the importance of mining our own data with the goal of providing input to our case studies and suggestions for improvements to our own products and services. You work effectively cross-team and you understand the importance of building strong relationships and earning trust and credibility. You have successfully helped the XMO bring our insights to life through story telling with data.

A Day in the Life

• Designs, develops and programs methods, processes, and systems to consolidate and analyze diverse “big data” sources to generate actionable insights and solutions to support our own programs and XM platform product enhancement.
• Interacts with XMO, regional areas, functional and solution areas to identify questions and issues for data engineering, data analysis and experiments.
• Develops and codes software programs, algorithms and automated processes to extract, cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments.
• Be an internal leader in statistics including descriptive statistics, correlation, regression and advanced modeling.

Your Background

You are a data junkie and you know how to extract and ingest data across multiple systems. You are able to simplify the complexity in working with data. You can tell stories with big data and can demonstrate how you have used data to change thoughts about how things work. You care about understanding the customer, partner and employee experiences and want SAP to deliver experiences that align strategically with business goals. You know how to mine data and turn it into measurable outputs that push understanding and action.

Minimum Qualifications

• Master’s or Bachelors Degree in either Data Engineering, Business Analytics, Data Analytics, or Data Science, with a BA/BS in Economics, Mathematics/Statistics, Finance, Management, Marketing or Social Science
• 5+ years work experience
• Strong quantitative analytical skills with competence in techniques such as correlation, regression, KPI metric development, segmentation modeling and algorithms
• Fluent in Python, PySpark or similar programming language, able to query data using SQL and understand relational databases, has experience working with cloud-based computing platforms and big data tools.
• Experience in data mining, data engineering, advanced data manipulation, statistical analysis and machine learning.
• Experience with data visualization and communication using software like SAC, Tableau, Qualtrics or similar
• Strong verbal and written communication skills to present analysis and insights including trends and opportunities to stakeholders and the business
• Believes in eating one's own dog food and using that experience to drive the creation of exceptional customer facing products
• High standard of detail, excellence, professionalism, and role model behavior

Preferred Qualifications

• Familiarity with survey scripting and data reporting platforms (e.g. Qualtrics, etc.) is desired. Ability to script surveys in these platforms is a plus.

We build breakthroughs together

SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.