Data Scientist - Remote - Latin America

FullStack Labs; Salvador; Teletrabalho; USD 50.000 - 90.000; Tempo integral

Resumo da oferta

An innovative IT talent network is seeking a Data Scientist to join their remote team. This role offers an exciting opportunity to work with leading startups and Fortune 500 companies while focusing on building custom machine learning models and contributing to impactful projects. With a commitment to transparency and professional growth, you will thrive in a supportive environment that values diverse perspectives. If you're passionate about data science and eager to tackle challenging problems, this is the perfect opportunity to elevate your career and make a meaningful impact.

Serviços

Competitive pay

100% remote work

Continuing education opportunities

Career growth opportunities

Qualificações

• 5+ years of professional experience in Data Science.
• Strong proficiency in Python and experience with ML libraries.

Responsabilidades

• Develop custom ML models for real-world applications.
• Work collaboratively in Agile teams and maintain CI/CD.

Conhecimentos

Data Science

Python

pandas

scikit-learn

TensorFlow

PyTorch

Data Visualization

Agile / Scrum

Formação académica

Bachelor's Degree

Ferramentas

Tableau

Power BI

Descrição da oferta de emprego

Join to apply for the Data Scientist - Remote - Latin America role at FullStack Labs.

About FullStack

FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.

• Offering life-changing opportunities for talented software professionals across the Americas.
• Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
• Our 4.2-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.

Join our talent network and connect with U.S. clients for flexible, project-based development work as a Data Scientist.

What We Are Looking For

• 5+ years of professional experience in Data Science.
• Advanced English is required.
• Successful completion of a four-year college degree is required.
• Strong proficiency in Python.
• Hands-on experience with libraries like pandas, scikit-learn, TensorFlow, or PyTorch.
• Familiarity with data visualization tools (e.g., Tableau or Power BI).
• Proficient in developing custom ML models for real-world applications.
• 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.
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• Continuing education opportunities.
• Opportunity to grow and expand your career.

Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.