SAS

Analytical Consultant - Deep Learning (LATAM)

Job Locations MX-Mexico City
Requisition ID
20042846
Category
Consulting
Travel Requirements
None

Analytical Consultant - Deep Learning (LATAM)

 

Are you a problem solver, explorer, and knowledge seeker – always asking, “What if?”

If so, then you may be the new team member we’re looking for. Because at SAS, your curiosity matters – whether you’re developing algorithms, creating customer experiences or answering critical questions. Curiosity is our code, and the opportunities here are endless.

 

What we do 

We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live.

 

What you’ll do

As a member of the SAS Analytic Consulting and Enterprise Solutions (ACES) group, you will support customer analytic business needs through requirements gathering, data discovery, analysis, reporting, and presentation.

Your duties will include analyzing large volumes of customer data for accuracy and consistency, translating business requirements into analytic methods, building analytic models, and presenting results. Your duties will also include automating analytic processes, developing and enhancing custom software tools, assisting in quality assurance efforts for all ACES projects, and other duties as assigned.

 

You will:

  • Provide statistical and/or analytical consulting services for customer engagements.
  • Translate customer business needs into data requirements and analytical techniques.
  • Conduct customer sessions for requirements gathering, data discovery, analysis, reporting, and presentation.
  • Demonstrate proficiency in analytic solution development in production systems.
  • Support data acquisition, validation, cleaning/preparation, and management from incoming data sources to facilitate analysis.
  • Contribute to and/or review proposals, documentation, publications, and course materials.
  • Provide coaching and knowledge transfer in relevant expertise.
  • Travel as business requirements dictate at management discretion.
  • Other duties as assigned.

What we’re looking for

  • Master's degree in statistics, mathematics, computer science, operations research, or a related quantitative field. 
  • At least 2 years of experience in SAS, R, and/or Python to solve customers' complex business problems using innovative analytical processes and techniques.
  • Formal training and experience with data mining and statistical modeling techniques.
  • Proven record of handling increasing responsibilities and multiple projects/tasks.
  • You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.

The nice to haves

  • Consulting, public speaking, or classroom teaching experience also preferred.
  • At least 2 years of experience in analytical consulting.
  • Experience applying analytic solutions to banking, insurance, manufacturing, government and/or other industries.
  • Experience with analytic approaches related to fraud detection, NLP, NLU, NLG, and/or deep learning.

Other knowledge, skills, and abilities

  • Excellent written and verbal communication skills.
  • Ability to communicate with people of various technical and business backgrounds, including the ability to explain data modeling and other technical concepts in simple terms to business users.
  • Ability to work independently and within a team environment.

Why SAS

  • We love living the #SASlife and believe that happy, healthy people have a passion for life, and bring that energy to work. No matter what your specialty or where you are in the world, your unique contributions will make a difference.
  • Our multi-dimensional culture blends our different backgrounds, experiences, and perspectives. Here, it isn’t about fitting into our culture, it’s about adding to it - and we can’t wait to see what you’ll bring.

Additional Information:

SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. For more information on US Equal Employment Opportunity, read more here: Equal Employment Opportunity is the Law. Also view the supplement EEO is the Law, and the Pay Transparency notice. 

 

Equivalent combination of education, training and experience may be considered in place of the above qualifications. The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

 

All valid SAS job openings are located on the Careers page at www.sas.com. SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. Should you have any doubts about the authenticity of any type of communication from, for, or on behalf of SAS, please contact us at Recruitingsupport@sas.com before taking any further action.

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