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Data Scientist - Fluent English in Brazil, Indiana at Jobgether

NewJob Function: Science
Jobgether
Brazil, Indiana, 47834, United States
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Job Description

Data Scientist - Fluent English

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist - Fluent English based in Brazil.

This role sits at the intersection of advanced analytics, consulting, and data-driven transformation, helping clients unlock value from complex datasets through machine learning and AI. You will work in multidisciplinary teams alongside consultants, engineers, and other data scientists to solve real business problems end-to-end. The position offers strong exposure to the full data science lifecycle, from data exploration and feature engineering to model development and production deployment.
You will contribute to projects that directly influence business strategy and decision-making for diverse clients across industries.
The environment is highly collaborative, with a strong emphasis on learning, knowledge sharing, and continuous improvement.
You will also be expected to translate technical findings into clear business insights for non-technical stakeholders.
This is a role for someone curious, proactive, and eager to work in a fast-paced, international consulting environment.

Accountabilities
  • Work across the full data science lifecycle, including data collection, cleaning, exploratory analysis, and feature engineering.
  • Develop, train, and deploy machine learning models to solve business and analytical challenges.
  • Collaborate with consultants, engineers, and stakeholders to define problem statements and build scalable solutions.
  • Support the industrialization of models and ensure performance, scalability, and maintainability in production.
  • Translate complex analytical outputs into clear, actionable insights for business-oriented audiences.
  • Contribute to knowledge sharing, innovation, and continuous improvement within project teams.
  • Prioritize tasks effectively, meet deadlines, and proactively raise risks or blockers when needed.
Requirements
  • Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field.
  • Solid foundation in statistics and programming (Python or R).
  • Hands-on experience or strong academic exposure to machine learning techniques and data analysis.
  • Ability to work across the full data value chain, from raw data to deployed models.
  • Strong curiosity and problem-solving mindset with a passion for innovation.
  • Excellent collaboration skills and willingness to share knowledge in multidisciplinary teams.
  • Entrepreneurial mindset with initiative, ownership, and proactive attitude toward solutions.
  • Fluent English, with strong communication skills for international environments.
Benefits
  • Meal and transportation allowance (VR/VT)
  • Flexible work model (Free Office: work from home or anywhere)
  • Gympass access
  • Health, dental, and life insurance coverage
  • Regular “Get Together” events with workshops, training, and networking
  • Coworking space access through Woba
  • Semi-annual performance evaluations with promotion opportunities
  • Collaborative and international work environment focused on learning and growth
  • Strong culture of innovation, entrepreneurship, and continuous development
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location

Brazil, Indiana, 47834, United States

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