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Salesforce.com, Inc Data Science Engineer in Indianapolis, Indiana

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

Products and Technology

Job Details

As a Data Science Engineer, you will be tasked with analyzing large data sets and building expert systems that improve our understanding of consumer behavior and use that knowledge to improve the services we offer. This includes performing complex statistical analysis on non-routine problems and working with engineers to operationalize models at scale into production systems and optimize algorithms in disturbed settings. You will work in an agile environment and interface with product managers, fellow engineers, and teams across Salesforce.

Salesforce Marketing Cloud is a provider of digital marketing automation and analytics software and services. Marketing cloud services are used by businesses and marketers. We are the Salesforce Marketing Cloud Einstein Team that uses machine learning to surface critical insights about consumers that marketers can use to further their business.

In your role as a Data Science Engineer, you will partner with various teams to develop customer-level recommendations and automated solutions, integrating into existing Salesforce technologies and building new ones. You'll also work with others on the team to harness the power of Salesforce’s data with machine learning, to deliver machine learning / artificial intelligence solutions at scale

Equality is a core value at Salesforce. We strive to build a workplace that reflects society and where everyone feels seen, valued, heard and empowered to create the best work of their careers. Learn more about our commitment to Equality

Responsibilities

  • Understand business problems and use mathematical frameworks to deliver machine learning models that can be used to solve those problems

  • Clean, analyze, data-mine, and visualize a variety of consumer data to identify opportunities, insights, and anomalies

  • Set up large and complex data pipelines on public cloud infrastructures such as AWS, Microsoft Azure, and GCP

  • Operationalize complex machine learning problems to a massive scale

  • Effectively communicate complex findings in a concise, structured, and clear manner to a non-technical audience

  • Navigate ambiguity, solve complex challenges, and operate in a fast-paced team environment

Preferred Qualifications

  • Bachelor’s Degree in computer science, mathematics, or another quantitative discipline or equivalent work experience

  • Experience setting up, building, and maintaining production data pipelines

  • Experience starting large analytical projects, and collaborating with teams across geographies and functions

  • Experience solving business problems and using mathematical techniques using available data

  • Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods

  • Experience in data processing and working with distributed programming

  • Experience with object-oriented programming languages and test-driven development

  • Experience with query languages and mining data

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. (http://cloud.mail.salesforce.com/accommodations-request-form)

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 Salesforce and explore our benefits.

Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. 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.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesfore.com or Salesforce.org.

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.

Founded in 1999, Salesforce is the global leader in Customer Relationship Management (CRM). Companies of every size and industry are using Salesforce to transform their businesses, across sales, service, marketing, commerce, and more by connecting with customers in a whole new way. We harness technologies that can revolutionize companies, careers, and, hopefully, our world.

Salesforce is built on a set of four core values: Trust, Customer Success, Innovation, and Equality. By making technology more accessible, we're helping create a future with greater opportunity and equality for all. This has taken our company to great heights, including being ranked by Fortune as one of the “Most Admired Companies in the World” and one of the “100 Best Companies to Work For” eleven years in a row, and named “Innovator of the Decade” and one of the “World’s Most Innovative Companies” eight years in a row by Forbes.

There are those who choose to work with the best and brightest. And then, there are those who want to do more than just a job. They are the ones improving lives, not only their careers. Having an impact now instead of later. Doing something that’s so much bigger than themselves, an industry, and their company.

We believe everyone can be a Trailblazer. Join Salesforce and discover a future of new opportunities.

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