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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 Lead Data Scientist – Sales in San Francisco, CA:
Job Duties: Create high-visibility data products and decision-making tools for Salesforce’s leaders. Work on problems like forecasting important business metrics such as sales and capacity, churn, and propensity modeling to retain and grow customer base, clustering and classification. Build end-to-end data science products - develop, maintain, and produce new and existing models and algorithms that underpin our data science applications. Review and update existing data, models, and algorithms to ensure that they remain relevant and to the changes in the broader economy as well as Salesforce’s own business. Acquire, prepare and analyze large volumes of internal Salesforce data including data about Product Utilization, Sales, and Marketing activities to discover patterns, derive actionable product insights, and drive development strategies. 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: Master’s degree (or its foreign degree equivalent) in Computer Science, Physics, Mathematics, Statistics, Engineering (any field), or a related quantitative discipline, and three (3) years of experience in the job offered or in any occupation in a related field.
Special Skill Requirements: (1) Python; (2) Pandas; (3) Sklearn; (4) SQL; (5) AWS/GCP; (6) Machine Learning; (7) Data Science; (8) Data Models; (9) Statistical Modeling; (10) Predictive Modeling; (11) Design and Optimization; (12) Natural Language Processing; (13) Recommendation Systems; and (14) Data ETL. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Some travel to Salesforce offices may be required.
Salary: $158,642.00 - $236,500.00 per annum.
Submit a resume using the apply button on this posting or by email at: onlinejobpostings@salesforce.com at Job# 21-9649. 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 $158,642 to $236,500.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.Other Jobs from Salesforce
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