Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Decision Scientist (Estratégia de Portfólio) in Brazil.

This role sits at the intersection of data, strategy, and business decision-making, with a strong focus on portfolio performance and financial sustainability. You will work in a highly analytical environment, transforming complex business challenges into structured problems that can be solved with data. The position plays a key role in shaping decisions that directly impact profitability and long-term growth. You will collaborate with cross-functional teams across different areas of the business, translating insights into clear, actionable recommendations. The environment is dynamic, fast-paced, and highly collaborative, requiring strong critical thinking and communication skills. Your work will also support leadership with reports, analyses, and strategic perspectives that guide high-level decisions.

Accountabilities:

• Identify, structure, and break down complex business problems into analytical frameworks
• Develop and validate hypotheses using data analysis to support decision-making
• Build and monitor experiments, ensuring accurate measurement of outcomes and impact
• Support the design of policies and strategies to improve portfolio performance and profitability
• Analyze and project portfolio risk, contributing to financial sustainability and scalable growth
• Produce insights, reports, and presentations for leadership and cross-functional stakeholders
• Challenge assumptions, ensuring decisions are grounded in data and sound reasoning
• Collaborate with multiple teams, translating analytical findings into actionable business decisions

Requirements:

• Strong ability to structure and solve complex and ambiguous problems
• High analytical thinking and comfort working with data-driven environments
• Solid understanding of business dynamics and decision-making processes
• Curiosity and continuous learning mindset, with openness to new tools and methods
• Strong communication skills, able to explain complex insights clearly to different audiences
• Ability to work collaboratively in diverse, cross-functional teams
• Familiarity with data manipulation tools (not mandatory, but essential for effectiveness)
• Nice to have: experience with Python or other data science languages
• Nice to have: knowledge of statistics (hypothesis testing, sample sizing, etc.)
• Nice to have: experience with data visualization tools (Metabase, Looker, Superset, etc.)

Benefits:

• Competitive salary package (to be discussed during the hiring process)
• Health and dental insurance
• Meal and/or food allowance
• Transportation assistance
• Extended maternity and paternity leave
• Childcare assistance
• Wellness benefits through health and therapy partners
• Education incentives and support for continuous learning
• Discounts on airfare
• Pet health plan partnerships
• Access to educational materials for employees’ children
• Partnerships for MBA and postgraduate programs
• Inclusive and diverse work environment focused on equal opportunity.

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! Why Apply Through Jobgether?
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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