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Senior Data Scientist Jobs
Company | SAP |
Address | Palo Alto, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | IT Services and IT Consulting,Software Development,Business Consulting and Services |
Expires | 2023-07-28 |
Posted at | 10 months ago |
Requisition ID: 375165
Work Area: Customer Service and Support
Expected Travel: 0%
Career Status: Professional
Employment Type: Regular Full Time
Career Level: T3
Original Posting Date: June 16, 2023
Location: Palo Alto, CA
Purpose And Objective
SuccessFactors, Inc. seeks a Senior Data Scientist at our Palo Alto, CA location to work closely with Product Management, Operations, and Development teams to define and implement data strategies to create insight into how customers implement and use SAP products.
Expectations And Tasks
Retrieve, manipulate, and analyze data from various sources to draw relevant and actionable conclusions. Contribute to the design, development, and maintenance of KPIs, recurring reports and dashboards to ensure high-level visibility of company performance and planning. Ensure data accuracy by validating data, identify any missing data, and work with engineering to start capturing the right data for analysis. Gather requirements from customers, prospects, engineers, sales, other product managers, and professional services consultants, and write detailed product specifications for the engineering team. Perform competitive analysis in determining and prioritizing feature requirements for existing and new products. Support internal teams (Finance, Sales, Product, Engineering, Operations, Marketing and Customer Success) with data-driven analysis to drive key business initiatives and decisions. Contribute to data definitions, data storage infrastructure for data mining purposes, and data mining architectures. Utilize skills to resolve data mining performance issues, monitor data mining system performance, and implement efficiency improvements. Contribute to best practices for data mining topics.
Education And Qualifications/Skills And Competencies
Bachelor's degree or foreign equivalent in Computer Science, Management Information Systems, Engineering, Mathematics, or a related field of study and 6 years of progressive experience in the job offered or a related occupation. The company will also accept a Master's degree or foreign equivalent in Computer Science, Management Information Systems, Engineering, Mathematics, or a related field of study and 4 years of experience in the job offered or a related occupation.
Work Experience
Experience must involve 4 years in each of the following:
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
Compensation Range Transparency: The annual base salary range for this position is $183,310 - $192,016. 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 $183,310 - $224,800. 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.
SAP'S DIVERSITY COMMITMENT
To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.
SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable 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 (Americas: [email protected] or [email protected], APJ: [email protected], EMEA: [email protected]). Requests for reasonable accommodation will be considered on a case-by-case basis.
EOE AA M/F/Vet/Disability
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.
Additional Locations:
Work Area: Customer Service and Support
Expected Travel: 0%
Career Status: Professional
Employment Type: Regular Full Time
Career Level: T3
Original Posting Date: June 16, 2023
Location: Palo Alto, CA
Purpose And Objective
SuccessFactors, Inc. seeks a Senior Data Scientist at our Palo Alto, CA location to work closely with Product Management, Operations, and Development teams to define and implement data strategies to create insight into how customers implement and use SAP products.
Expectations And Tasks
Retrieve, manipulate, and analyze data from various sources to draw relevant and actionable conclusions. Contribute to the design, development, and maintenance of KPIs, recurring reports and dashboards to ensure high-level visibility of company performance and planning. Ensure data accuracy by validating data, identify any missing data, and work with engineering to start capturing the right data for analysis. Gather requirements from customers, prospects, engineers, sales, other product managers, and professional services consultants, and write detailed product specifications for the engineering team. Perform competitive analysis in determining and prioritizing feature requirements for existing and new products. Support internal teams (Finance, Sales, Product, Engineering, Operations, Marketing and Customer Success) with data-driven analysis to drive key business initiatives and decisions. Contribute to data definitions, data storage infrastructure for data mining purposes, and data mining architectures. Utilize skills to resolve data mining performance issues, monitor data mining system performance, and implement efficiency improvements. Contribute to best practices for data mining topics.
Education And Qualifications/Skills And Competencies
Bachelor's degree or foreign equivalent in Computer Science, Management Information Systems, Engineering, Mathematics, or a related field of study and 6 years of progressive experience in the job offered or a related occupation. The company will also accept a Master's degree or foreign equivalent in Computer Science, Management Information Systems, Engineering, Mathematics, or a related field of study and 4 years of experience in the job offered or a related occupation.
Work Experience
Experience must involve 4 years in each of the following:
- Perform ad-hoc data analysis across a wide variety of business functions, such as customer support, product usage and engagement, and market analysis.
- Leverage quantitative analysis to take data as input and output actionable recommendations;
- Prepare and present reports, forecasts, trends and actionable insights to executive, business and technical teams;
- Build data validation to ensure clean data stored in databases;
- Enterprise software such as HR/HCM processes or other business applications such as CRM, ERP, or financial systems;
- Use data integration and ETL applications to execute and manage SQL extraction processes from data stored in data base system such as HANA or Oracle source systems;
- Process data and perform data analysis in Microsoft Excel;
- Define data requirements for business processes from customers, engineers, other product managers, and professional services consultants;
- Understand and leverage data model and business context to develop data extraction processes from source systems;
- Build metrics models with Product Managers and present reports and dashboards to stakeholders;
- Conduct data verification and validation processes to maintain data quality;
- Define data governance and metadata management strategies;
- Define metrics to measure business objectives by meeting with Product Managers;
- Perform program management tasks across multiple teams to ensure project timelines and deliverables are achieved; and
- Define strategy for data collection;
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
Compensation Range Transparency: The annual base salary range for this position is $183,310 - $192,016. 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 $183,310 - $224,800. 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.
SAP'S DIVERSITY COMMITMENT
To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.
SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable 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 (Americas: [email protected] or [email protected], APJ: [email protected], EMEA: [email protected]). Requests for reasonable accommodation will be considered on a case-by-case basis.
EOE AA M/F/Vet/Disability
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.
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