Salesforce.com
Summer 2015 Intern - Data Sciences
San Francisco Bay Area, US - Computer Software, Information Technology and Services, Internet
SF-Y:
Salesforce will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Job Title: Summer 2015 Intern - Data Sciences
Job Category: University Recruiting - Tech
Location: US – San Francisco
Salesforce, the Customer Success Platform and world's #1 CRM, empowers companies to connect with their customers in a whole new way. We are the fastest growing of the top 10 enterprise software companies, the World’s Most Innovative Company according to Forbes, and one of Fortune’s 100 Best Companies to Work For six years running. The growth, innovation, and Aloha spirit of Salesforce are driven by our incredible employees who thrive on delivering success for our customers while also finding time to give back through our 1/1/1 model, which leverages 1% of our time, equity, and product to improve communities around the world. Salesforce is a team sport, and we play to win. Join us!
Working directly for the strategy and capacity team, the data sciences intern will help model and support complex operational decisions that underpin Salesforce's global product infrastructure footprint. In this role, the intern will work directly with a team of data scientists, operations research professionals, and the VP of business operations and strategy to advance a critical set of highly technical infrastructure optimizations of great value to the company.
This is a high visibility role that will require previous work experience or advanced research in applied math/stats or operations research. While not required, preference may be given to candidates from with applied research experience in industrial, technical, manufacturing, or airline industries.
Responsibilities:
- Write queries or scripts to collect data from multiple, discrete engineering systems
- Develop optimizations or machine learning algorithms to help enhance existing analytical models
Required skills:
- Enrolled graduate school working towards a masters or doctorate in applied math, statistics, operations research or related technical field
- Demonstrable working proficiency with various optimization models, machine learning, or neural networks
- Proven programming experience with R, Python, Matlab, SAS or CPLEX, or similar tools, languages or authoring environments
- Fearlessness in hacking complex engineering systems for data analysis purposes
- Out of box thinking and creative problem solving bringing strategic business insights from a deep analysis of the data
- Strong EQ; ability to distill great complexity into a set of facts that can be quickly and efficiently communicated to senior leadership
- NOT REQUIRED: Tech industry experience
Preferred Skills:
- Experience working in large-scale computing infrastructures
- Experience with time series analysis
Salesforce.com 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. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Salesforce.com does not accept unsolicited headhunter and agency resumes. Salesforce.com will not pay fees to any third-party agency or company that does not have a signed agreement with Salesforce.com. Accessibility - If you require accessibility assistance applying for open positions please contact applicant_access@salesforce.com
- Experience working in large-scale computing infrastructures
- Enrolled graduate school working towards a masters or doctorate in applied math, statistics, operations research or related technical field
No salary provided
Posted May 01, 2015 at 01:08AM from LinkedIn http://ift.tt/1EylMyL
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