Staff Data Scientist

California - San Francisco

Salesforce

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Job Category

Data

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce Inc. seeks Staff Data Scientist San Francisco, CA:

Job Duties: Apply data science methods to understanding the most important aspects of our AI product, users, and business. Design new datasets and metrics to be added to our data model. Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights. Identify and drive improvements to the execution of the full Research and Analytics teams through standardization of process, authoring new standard methodologies, mentorship and cultivation of new expertise. ˆHQ address additionally encompasses the following Salesforce locations in San Francisco: 350 Mission Street, 415 Mission Street, and 50 Fremont Street. The permanent position may be offered at any of these locations in San Francisco. Telecommuting is an option. Some travel to Salesforce offices may be required. 

Minimum Requirements: Bachelor’s degree (or its foreign related equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and five (5) years of progressively responsible experience in the job offered or in any occupation in related field. 

A related technical degree required (Computer Science, Engineering (any field)).

Special Skill Requirements: 4 years experience in each of the following: (1) Experimental Design & Analysis; (2) Machine Learning; (3) Predictive Modeling; (4) Financial Analysis; (5) Data instrumentation & engineering (ETL); (6) SQL; (7) Python (including libraries such as Pandas and Scikit-learn); (8) Experience with data visualization software such as Mode or Tableau; (9) Jupyter Notebook; (10) GitHub. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Some travel to Salesforce offices may be required. 

Salary: $188,885.00 - $265,200.00 per annum.

Submit a resume using the apply button on this posting or by email at: onlinejobpostings@salesforce.com at Job# 23-142977. Salesforce is an Equal Opportunity & Affirmative Action Employer.

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $188,885 to $265,200.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.
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Tags: Computer Science Data visualization Engineering ETL GitHub Jupyter Machine Learning Pandas Predictive modeling Python Research Salesforce Scikit-learn SQL Tableau

Perks/benefits: Career development Equity / stock options

Region: North America
Country: United States

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