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Senior Data Scientist - Remote - Latin America

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FullStack Labs

Job Description

FullStack is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, and Stanford University build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We’re most proud of:
*Offering life-changing career opportunities to talented software professionals across the Americas.
*Building highly-skilled software development teams for hundreds of the world’s greatest companies.
*Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
*Our 4.5-star rating on GlassDoor.
*Our client Net Promoter Score of 68, twice the industry average.

The Position:

    We're looking to hire a Senior Data Scientist to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate yourself directly into our client's team and work alongside their existing designers and engineers on a daily basis.
  • Design Build: You will work on a FullStack Labs product team to build and deliver a product to our clients.

What We're Looking For:

  • 5+ years of experience as a Data Scientist.
  • Proven experience working with Business Intelligence.
  • Proven experience working with Data Modeling.
  • Proven experience working with Data Analysis.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile / Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 40 hours per week.

What We Offer:

  • Competitive pay in your local currency.
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • English Classes.
  • Virtual company events each month.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.
  • Depending on your location other benefits may apply.
FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form, which can be provided upon request during our hiring and interview process.
Learn more about our Applicants Privacy Notice.

Advice from our career coach

As a Senior Data Scientist at FullStack, you have the opportunity to work directly with top companies like Uber and GoDaddy, either by integrating into their existing teams or by building and delivering products through FullStack Labs. To stand out as an applicant for this role, focus on showcasing your experience in data science, business intelligence, data modeling, and data analysis. Highlight your ability to work on large, complex systems, your experience with Agile/Scrum teams, and your extreme ownership over your work. Emphasize your attention to detail, your ability to problem-solve, and your dedication to meeting and exceeding client expectations. Additionally, demonstrate your English proficiency, commitment to continuous learning, and your positive mindset and can-do attitude.

  • Highlight your experience in data science, business intelligence, data modeling, and data analysis.
  • Showcase your ability to work on large, complex systems and your experience with Agile/Scrum teams.
  • Demonstrate your extreme ownership over your work and your attention to detail.
  • Emphasize your problem-solving skills and dedication to meeting and exceeding client expectations.
  • Show your English proficiency and commitment to continuous learning.
  • Highlight your positive mindset and can-do attitude.

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