Senior Data Scientist
- Role
- Data Science
- Experience
- Senior
Open to BR only. Set where you work from to check your eligibility.
No BS summary
Senior Data Scientist based in Brazil focused on marketing and product analytics. Needs strong causal inference and statistical modeling, advanced SQL, and advanced proficiency in Python or R. Must have fluent English and be able to present findings to US/UK stakeholders.
Core skills
Required skills
Optional skills
Required languages
At Mindera, we believe that software is built by people, for people, with high-performance systems that impact users worldwide. We are looking for a Senior Data Scientist to join an agile, collaborative team where your voice matters as much as your code. The Data Scientist is a high-level individual contributor who leads complex data science initiatives that impact the Core Tech roadmap. This role focuses on translating complex marketing and product challenges into data-driven recommendations. Working with significant independence, the Senior Data Scientist develops predictive models and performance reporting frameworks that enable stakeholders across the organization to make informed investment decisions. We value empathy, self-organization, and a positive attitude . If you are approachable, communicate clearly, and believe that team fit is just as important as technical prowess, you'll feel right at home here. At Mindera we encourage the use of AI to assist with coding and related tasks. We find a persons skill in engineering and software craft, has a big impact long term successful delivery, with or without AI. Our goal in the interview process is to understand the candidates knowledge and skill with engineering. If you need to, or plan to use AI, please be transparent with us when you're using it, to avoid issues and misunderstandings that can either: impact your chance of securing the role or impact your success at Mindera. National and international expected traveling time varies according to project/client and organizational needs: 0%-15% estimated. 💪 How You'll Contribute Problem Framing: Partner directly with Marketing and Product leadership to turn vague business problems into clear metrics and actionable hypotheses. Statistical Modeling & Causal Analysis: Build, iterate, and monitor statistical models. Distinguish genuine causal impact from correlation to optimize marketing spend and product growth. Experimentation & Prototyping: Design holdout tests and quasi-experiments (or A/B tests) where clean randomization isn't possible. Move rapidly from hypothesis to verified proof-of-concept. Data Storytelling: Translate complex algorithmic behavior into simple, visual narratives for US/UK stakeholders. Requirements 🌿 We're looking for someone who... Has a Business-First Mindset: You balance statistical rigor with the speed required for business decisions. Is an Effective Communicator: You possess clear, fluent English communication skills and are comfortable presenting technical work to non-technical business leaders. Brings Domain Context (Nice to have): You have experience in Gaming, Entertainment, or Marketing (LTV, Churn, Retention, Segmentation). 🛠️ Your Technical Toolkit: Statistical Rigor: Proven experience building statistical or ML models, with a deep understanding of causality vs. correlation in real-world data (e.g., Diff-in-Diff, propensity scores, uplift, or structural time series). Programming: Advanced proficiency in either Python OR R for multi-dimensional data handling (both are not required). Data Carpentry: Advanced SQL skills to independently query, clean, and architect complex datasets. Experimentation (Nice to have): Familiarity with Geo-lift, holdouts, or formal A/B testing frameworks. Stack & Tools (Nice to have): Experience with Databricks , Snowflake , major Cloud providers ( AWS , GCP , Azure ), AI/ML toolkits, or Bayesian libraries. 💬 Recruitment Stages Screening - Reviewing CVs and eligibility verification. 1st Call - 30 minute call to access Technical & Culture Fit with IT Recruiter. Tech Interview - 2 hour call with two of our Cloud Engineers to assess your technical knowledge in depth. The interview includes a theoretical section based on test-case scenarios as well as live practical exercises Cultural Interview - 1-hour call with a Minder to assess cultural fit with Mindera and align expectations for both parties. Project/Client Call - A 30 minute to 1 hour call with the client or project team to assess your technical fit for a specific project and align expectations. Benefits Being a "Minder" in Brazil We value commitment, feedback, and empathy. To support your journey, we offer: Work Your Way: Flexibility to choose where you work from (Remote-first culture). Growth Mindset: Free English lessons and continuous training/learning opportunities. Well-being First: Access to counseling and psychotherapy services, and incentives in sports competitions, because your mind matters. Shared Success: Annual profit distribution (subject to company performance and board decision - only for CLT contracts). The Fun Stuff: Gatherings and annual trip to bond with the team. Culture of Trust: A collaborative, lean, and self-managed environment where you have the autonomy to make an impact. Find Us Around the Globe At Mindera, we leverage technology to build products we take pride in, alongside a team we genuinely enjoy working with. Our expertise includes developing high-performance, resilient, and scalable software systems for renowned global brands. Our work culture is rooted in collaboration, innovation, and a commitment to continuous learning. With offices located across Portugal , United Kingdom , United States , India , Romania , Brazil, Morocco , Spain , Australia, Vietnam join us as we expand and influence the future of software engineering worldwide.
What you'll do
- Partner directly with Marketing and Product leadership to turn vague business problems into clear metrics and actionable hypotheses.
- Build, iterate, and monitor statistical models.
- Distinguish genuine causal impact from correlation to optimize marketing spend and product growth.
- Design holdout tests and quasi-experiments (or A/B tests) where clean randomization isn't possible.
- Move rapidly from hypothesis to verified proof-of-concept.
- Translate complex algorithmic behavior into simple, visual narratives for US/UK stakeholders.
- Develop predictive models and performance reporting frameworks that enable stakeholders across the organization to make informed investment decisions.
- Lead complex data science initiatives that impact the Core Tech roadmap.
- National and international expected traveling time varies according to project/client and organizational needs: 0%-15% estimated.
What they require
- Has a Business-First Mindset: You balance statistical rigor with the speed required for business decisions.
- Is an Effective Communicator: You possess clear, fluent English communication skills and are comfortable presenting technical work to non-technical business leaders.
- Statistical Rigor: Proven experience building statistical or ML models, with a deep understanding of causality vs. correlation in real-world data (e.g., Diff-in-Diff, propensity scores, uplift, or structural time series).
- Programming: Advanced proficiency in either Python OR R for multi-dimensional data handling (both are not required).
- Data Carpentry: Advanced SQL skills to independently query, clean, and architect complex datasets.
- Preferred: experience in Gaming, Entertainment, or Marketing (LTV, Churn, Retention, Segmentation).
- Preferred: Familiarity with Geo-lift, holdouts, or formal A/B testing frameworks.
- Preferred: Experience with Databricks, Snowflake, major Cloud providers (AWS, GCP, Azure), AI/ML toolkits, or Bayesian libraries.
Benefits
- Work Your Way: Flexibility to choose where you work from (Remote-first culture).
- Free English lessons and continuous training/learning opportunities.
- Access to counseling and psychotherapy services, and incentives in sports competitions.
- Annual profit distribution (subject to company performance and board decision - only for CLT contracts).
- Gatherings and annual trip to bond with the team.
- A collaborative, lean, and self-managed environment with autonomy to make an impact.
Mindera builds high-performance, resilient, and scalable software systems for clients worldwide in an Agile, collaborative environment.