Data Scientist

Jobgether; Brasil; Presencial; BRL 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully remote in Brazil

Collaborative data science team

Exposure to health tech environment

Mentorship from senior data scientists

International collaboration

Resumo da oferta

Jobgether is looking for a mid‑level Product Data Scientist based in Brazil to join a collaborative health‑technology team. You will use data to answer strategic product questions, design experiments, and deliver insights that influence business and customer outcomes.

You will work closely with Product Managers, Engineers, and data stakeholders to define metrics, run A/B tests, and communicate findings through compelling data storytelling that translates complex analyses into actionable

Qualificações

• 3–5 years of professional experience as a Data Scientist.
• Strong SQL skills and data modeling basics.
• Proficient Python with Pandas and related libraries.
• Practical knowledge of A/B testing and experimentation design.

Responsabilidades

• Conduct insightful product analyses to answer business questions and support data‑driven decisions.
• Develop understanding of product functionality and data models for reliable analyses.
• Partner with Product Managers and Engineers to define metrics and measurement frameworks.
• Design, launch, and analyze experiments with oversight from senior Data Scientists.
• Explain statistical concepts in clear, intuitive language for stakeholders.
• Communicate findings through compelling data storytelling to drive business actions.

Conhecimentos

Data storytelling

Stakeholder communication

Analytical thinking

Collaboration

Ferramentas

SQL

Python

Pandas

A/B testing

Descrição da oferta de emprego

Our partner is looking for a Data Scientist based in Brazil.

This is an exciting opportunity for a mid-level Product Data Scientist to join a collaborative product-focused data science team supporting a fast-growing health technology environment. You will use data to answer strategic product questions and uncover insights that influence business and customer outcomes. The role combines hands‑on product analytics with statistical experimentation and A/B test design. You will work closely with Product Managers, Engineers, and data stakeholders to define meaningful metrics and evaluate product initiatives. You’ll have the opportunity to shape experimentation practices and contribute to improvements in team processes. This is a highly analytical role where strong communication, product thinking, and attention to detail are essential. Fluent English is required to collaborate effectively with global teams.

Accountabilities

• Conduct insightful product analyses to answer business and stakeholder questions and support data‑informed decision‑making.
• Develop a strong understanding of product functionality and underlying data models to ensure accurate, reliable analysis.
• Partner with Product Managers and Engineers to define meaningful metrics and measurement frameworks for product initiatives.
• Act as a statistical subject‑matter expert in experimentation, helping teams design effective and appropriately powered A/B tests.
• Explain statistical concepts such as power, sample size, significance, and experimental limitations in clear, intuitive language.
• Analyze experiment results, determine statistical significance, and identify common experimentation pitfalls, including risks associated with p‑hacking.
• Ramp up quickly within a designated product area and become a trusted source of analytical insights.
• Design, launch, and analyze experiments with support and mentorship from experienced Product Data Scientists.
• Contribute feedback on team processes and proactively identify opportunities to improve analytical workflows and experimentation practices.
• Communicate findings through compelling data storytelling, ensuring technical insights are understandable and actionable for stakeholders.

Requirements

• 3–5 years of professional experience as a Data Scientist, preferably in a product‑focused environment.
• Strong proficiency in SQL and a solid understanding of data modeling concepts.
• Strong Python skills, ideally including data science and analysis libraries such as Pandas and statistical packages.
• Practical knowledge of A/B testing, statistical analysis, experimentation design, and interpretation of experimental results.
• Familiarity with core product metrics such as DAU, retention, engagement, conversion, and related measures.
• General understanding of machine learning concepts, including model development and evaluation.
• Strong data storytelling and stakeholder communication skills, with the ability to translate technical findings into intuitive business insights.
• Excellent attention to detail, including the ability to validate analyses, identify inconsistencies, and ensure accuracy before sharing results.
• Strong product sense and curiosity about how data can be used to improve digital products and customer experiences.
• Ability to collaborate effectively with Product, Engineering, Data, and business stakeholders.
• Fluent written and spoken English, as the role involves daily collaboration with global teams.
• A growth‑oriented mindset, adaptability, initiative, and willingness to learn are highly valued alongside technical expertise.

Benefits

• Fully remote opportunity for professionals based in Brazil.
• Opportunity to work with a collaborative Product Data Science team and experienced data professionals.
• Exposure to a high‑impact health technology environment and product‑led decision‑making.
• Hands‑on experience across product analytics, experimentation, A/B testing, and statistical analysis.
• Opportunity to influence experimentation practices and improve analytical processes.
• Mentorship and support from experienced Product Data Scientists.
• International collaboration with global Product, Engineering, Data, and business teams.
• Strong opportunities to grow your product analytics, experimentation, and data science expertise.
• A culture that values growth, adaptability, curiosity, and fresh perspectives.