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Data Scientist

SAP • San Ramon, CA • 1d ago

Requisition ID: 426676

Work Area: Software-Design and Development

Expected Travel: 0%

Career Status: Professional

Employment Type: Regular Full Time

Career Level: T2-3

Original Posting Date: 05/19/2025

Job Title: Data Scientist

Location: San Ramon, CA

Work Model: Hybrid work model

Purpose and Objective:

Callidus Software, Inc. seeks a Data Scientist at our San Ramon, CA location to execute the mathematical modeling of SAP customers' business problems, develop algorithms, data mining flows and applications to solve these problems, and help SAP customers directly to understand and implement the results of the analysis.

Expectations and Tasks:

Work with industry experts and technology experts to translate customers' business needs into mathematical models and deliver a solution to the client. Support development integration and implementation of data mining and mathematical methods into SAP products. Responsible for evaluating and testing data mining methods and maintaining a high level of quality. Work closely with the Senior Data Scientist to proto@type new innovations and eventually incorporate them into the product. Contribute to data definitions, data storage infrastructure for data mining purposes, and data mining architectures. Resolve data mining performance issues and monitor data mining system performance. Work closely with Product Management, Application Developers, Information Developers and end users to implement efficiency improvements and data mining algorithms if required. Work on research projects and perform functional and empirical analysis on data mining topics. Conduct research on data mining tools and algorithms, implement proto@types and data mining algorithms, and validate them on real data. Contribute to best practices for data mining topics and collaborate with development universities and research institutes.

Education and Occupational Experience:

Bachelor's degree or foreign equivalent in Data Science, Computer Science, Mathematics, Statistics or a related field of study and five (5) years of progressive post-baccalaureate experience in the job offered or related occupation. Alternatively, a Master's degree or foreign equivalent in Data Science, Computer Science, Mathematics, Statistics or a related field of study and three (3) years of experience in the job offered or related occupation.

Qualifications/Skills and Competencies Experience:

Experience must involve three (3) years in the following:

Recommender Systems;

Supervised Learning Algorithms;

Time Series analysis;

Multivariate Regression analysis; and

RDBMS Data Bases including mySQL.

Experience must involve two (2) years in the following:

Deep Learning algorithms and tools including pyTorch; and

Big Data technologies including Spark and Big Table.

This position is eligible for the Employee Referral Program subject to the eligibility criteria outlined in the SAP Internal Employee Referral Policy .

Internal use only: reference code lhrs4262

SAP:SAIL

EX:OUT

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: 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. 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: The annual base salary range for this position is $188,885 - $196,740. SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward 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 $188,885 - $218,600. 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 (https://www.sapnorthamericabenefits.com/en/public/welcome) .

SAP

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