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Pre-Sales Data Scientist  - Saffron AI


San Francisco, CA
Job Code:
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  • Software Engineer
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Job Details

PreCareers at Intel inSales Data Scientist 
Job ID: JR0042397
Job Category: Sales
Primary Location: San Francisco, CA US
Other Locations: Washington, D.C.; California, San Diego; North Carolina, Raleigh; California, Santa Clara;
Job Type: Experienced Hire

Pre-Sales Data Scientist  - Saffron AI

Job Description

We're looking for customer-facing Data Scientists to join our sales team. You will be a primary member of the deal team, shaping the sales cycle and the prospect experience. Responsible for an annual goal, you will win new business as you:

  • Partner with Business Development Managers in the field.
  • Understand the prospects relevant business processes & problems.
  • Tell our story in a compelling manner to c-suite executives and technical leaders.
  • Represent our products & our approach to machine learning with authority and credibility.
  • Discover the customer's data to craft practical and relevant proposals.  
  • Leverage available tooling to analyze data and present compelling custom demonstrations.
  • Write clean and clear statements of work, RFP responses, and design documents.
  • Drive market insights and observations back into the organization.

About Saffron
Intel® Saffron™ uses memory-based reasoning to discover insights the help end users make smarter decisions.  Inspired by the remarkable way our brain stores and reasons from information, Saffron is used on large, complex data sets where the data is highly varied and often sparse - providing a more accurate and informative alternative to data modeling.


  • Bachelor’s degree required in Computer Science or related field; Master’s preferred.
  • 4+ years of experience as a software engineer or a similar role.
  • 4+ years of experience in a pre-sales or customer-facing role for enterprise software.
  • Fluent in a modern programming language (Python, Java, etc.), SQL, JSON, XML, SSL, RESTful APIs, and other related standards.
  • Conversant in Natural Language Processing and related tools (Stanford NLP, Apache OpenNLP, etc.).
  • Hands on experience with machine learning frameworks (Tensor Flow, Caffe, Spark, Pattern, etc.).
  • Working knowledge of public cloud services (AWS, Google, Azure, etc.) and their AI-related offerings. 
  • Hands-on! You still like to roll the sleeves up, learn, and build!
  • Using well-known data wrangling techniques to process, cleanse, and verify the integrity of data used for analysis.
  • Selecting features and doing ad-hoc analysis using machine learning techniques.
  • Hands on experience with machine learning frameworks (Tensor Flow, Caffe, Spark, scikit-learn, etc.).
  • Experience with graph databases (Neo4J, etc.).

Additional Desired Traits/Skills:

  • Experience in the financial services, government (federal), or healthcare sectors. 
  • Experience with industry-specific data ontologies. 
  • You communicate well and possess solid social skills (EQ). 
  • You’re a team player and find that you are at your best when working in collaboration with others.
  • You have the confidence to express your opinions and advocate for ideas that are unconventional or even unpopular, but possess the maturity and professionalism to value relationships more than you value “being right”. 
  • You’re proactive, finding ways to add value and thrive in a rapidly growing, unstructured business environment. 

Travel Requirements
Must be able and willing to manage up to 50% domestic and international travel.

Inside this Business Group

Intel Labs, the New Business Initiatives group (NBI), the Perceptual Computing Group and the New Devices Group (NDG). Additionally, New Devices Group and the New Business Initiatives group were combined into the New Business Group (NBG) which nests into NTG.

Other Locations

Washington, D.C.; California, San Diego; North Carolina, Raleigh; California, Santa Clara;

Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.


As an electronics industry innovator and a leader in corporate responsibility, we look for ways to apply our technology to address global challenges while serving as a role model for how companies should operate.

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