Data Scientist

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 prototype 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 prototypes 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 

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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.