Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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SAP Intern/ Working Student (f/m/d): Data Science working student for financial risk pre in Walldorf, Germany

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!

ABOUT THE TEAM

The Infused Intelligence team is responsible for delivering innovative and user-centric cloud solutions through different AI/ML technologies to internal stakeholders. Team members are building cutting-edge AI solutions for delivery into different lines of business ranging from marketing to post-sales, HR, and finance. The AI lifecycle where the team contributes includes data ingestion, processing, cleansing and analysis, model training and evaluation, as well as deployment to SAP environments like SAP HANA, SAP Analytics Cloud, and SAP BTP, as well as to hyperscaler partner offerings, leveraging MLOps practices. As every use case is unique and explicitly tailored to SAPs own data and architecture, every use case offers research and development perspectives. In our team, you will analyze data for one of our new use cases and build a state-of-the-art model impacting our standard business processes.

THE ROLE

  • Work with a team of data scientists, data, MLOps and software engineers on ML modeling and deployment of pipelines at all stages of development: data exploration, model training, model fine-tuning and optimization, productive deployment, testing and monitoring.

  • Communicate with stakeholders to understand business processes and model input data.

  • Support a high-visibility project along experienced data scientists and AI developers.

  • Learn about applying data-centric AI development practices.

  • Work with a modern cloud stack (SAP BTP, Hyperscaler offerings)

ROLE REQUIREMENTS

Must have:

  • Bachelors Degree in Data Science or related fields,

  • Proficiency in Python and at least one other programming/scripting language (e.g. Java, SQL, Scala),

  • Experienced with basic data science and data visualization packages in Python (e.g., pandas, numpy, seaborn, statsmodels, matplotlib, etc.), working in notebook-based (e.g. Jupyter) or script-based environments,

  • Experience in one or multiple machine learning frameworks (e.g. sklearn, pytorch, tensorflow, keras, MLLib)

  • Knowledgeable on large scale data analysis with spark

  • Good understanding of statistical methods (descriptive analyses, regression modeling, etc.) and model quality assessment (custom metrics, creation of validation sets, etc.)

  • Strong oral and written communication skills in English,

  • General interest in applied machine learning to solve business problems.

  • Experience working with complex tabular data (preprocessing, solving data leakage problems, imbalanced data problems).

Nice to have:

  • Experience with explainability and interpretability of machine learning models (SHAP, glass-box models)

  • Experience with Deep Learning architectures (e.g. transformers)

  • Familiar with software version control (e.g. GitHub, Git).

  • Experience with CI/CD frameworks (e.g. Jenkins, Concourse, Gitlab CI/CD)

  • Experience with MLOps tools (e.g., mlflow)

  • Experience in writing tests for ML models.

  • Interest in building model evaluation pipelines.

This is an SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers.

Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.

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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.

We win with inclusion

SAPs 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 and more equitable world.

SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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: Careers@sap.com.

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. (https://one.int.sap/me@sap/jobs_at_sap#17498858-1050-415e-8d82-21f91655666b_96fc) Specific conditions may apply for roles in Vocational Training.

Requisition ID: 391886 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Part Time | Additional Locations: #LI-Hybrid

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