Data Scientist (Noom)

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 (Noom) based in Brazil. This is an exciting opportunity for a mid-level Product Data Scientist to help shape data-informed product decisions within a leading health technology environment.

You’ll work closely with Product Managers, Engineers, and data stakeholders to uncover insights and define meaningful product metrics.

A major focus of the role will be designing, evaluating, and improving A/B tests that influence product strategy and user experiences.

You’ll serve as a trusted statistics partner, translating complex analytical concepts into clear, actionable recommendations.

The role combines hands-on SQL and Python work with strong stakeholder engagement and product thinking.

You’ll join an experienced Product Data Science team where collaboration, mentorship, and continuous improvement are highly valued.

During your first months, you’ll take ownership of a product area, contribute to experiments, and help evolve team processes.

Accountabilities

• Conduct product analysis and answer insightful, ad hoc questions from stakeholders across the Product organization.
• Build a strong understanding of product functionality and underlying data models to ensure analyses are accurate and actionable.
• Partner with Product Managers and Engineers to define meaningful metrics for new initiatives and product improvements.
• Support experiment design alongside Product Managers, applying statistical expertise to establish effective testing approaches.
• Explain concepts such as statistical power and sample size clearly to non-statistical stakeholders.
• Analyze A/B test results, assess statistical significance, and identify common experimentation pitfalls, including risks of p-hacking.
• Ramp up on a specific product area and become a trusted analytical partner for its stakeholders.
• Design and support an experiment through launch and analysis, with mentorship from an experienced Product Data Scientist.
• Provide feedback on team processes and proactively identify opportunities to improve or introduce new ways of working.

Requirements

• 3–5 years of experience as a Data Scientist, preferably in a product-focused environment.
• Strong SQL skills and a solid understanding of data modeling concepts.
• Proficiency in Python, ideally with hands-on experience using data science and analysis libraries such as Pandas and statistical packages.
• Strong data storytelling and stakeholder communication skills, with the ability to explain technical and statistical concepts in intuitive, accessible language.
• Strong attention to detail, including the ability to sense-check analytical outputs and identify errors before communicating results.
• Good product sense and familiarity with fundamental product metrics such as DAU, retention, and engagement.
• General understanding of machine learning concepts, including model development and evaluation.
• Comfortable collaborating closely with Product, Engineering, Data, and business stakeholders.
• Fluent English is essential, as the role involves daily collaboration with global teams.
• A growth mindset, adaptability, curiosity, and willingness to learn are highly valued, even if you do not meet every technical requirement.

Benefits

• Fully remote opportunity based in Brazil.
• Full-time employment.
• Opportunity to work on meaningful product analytics within a health technology environment.
• Collaboration with an experienced Product Data Science team and access to mentorship on experimentation and product analytics.
• Exposure to cross-functional work with Product Managers, Engineers, and business stakeholders.
• Opportunity to influence product decisions through rigorous analysis and experimentation.
• Scope to contribute to and improve data science team processes and ways of working.

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!

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