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Data Scientist

Seattle, WA, United States

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

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 Data Scientist in Seattle WA:

Job Duties: Produce insights (e.g., performance drivers, retention analysis, behavioral personas) to help grow Salesforce Cloud businesses by acquiring, cleaning, and structuring data from multiple sources such as Redshift, Deepsea, Falcon), and analyzing the data using SQL/Python/R. Partner with Senior Leadership (VP+) to understand their business and advise on strategic objectives, product direction, roadmaps, growth goals, retention strategies, etc.  Productize analyses by working with engineers and data scientists to turn insights into self-service dashboards or data products. Evangelize the insights through storytelling. Create easy-to-consume media that inspires into action anyone from senior execs to fellow analysts. Some travel to Salesforce offices may be required.

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), Business Analytics or a related quantitative discipline, and one (1) year of experience in the job offered or any occupation in a related field, OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), Business Analytics or a related quantitative discipline, and five (5) years of progressively responsible experience in the job offered or any occupation in a related field.

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

Special Skill Requirements: (1) Machine Learning; (2) Risk Analysis; (3) Experimental Design; (4) Python; (5) R; (6) Regression; (7) Inferential Statistics; and (8) Data Analysis.

Any suitable combination of education, training and/or experience is acceptable. Some travel to Salesforce offices may be required.

Salary: $174,117.00 - $175,117.00 per annum.

Certain roles may be eligible for incentive compensation, equity, and benefits. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

Submit a resume using the apply button on this posting or by email at: [email protected] at Job #22-17821. 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.

For Washington-based roles, the base salary hiring range for this position is $174,117 to $175,117. 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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