Senior Data Scientist

Mindera Group

Porto, Aveiro, Coimbra

Presencial

EUR 60 933 - 72 986

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Health insurance
Flexible working hours
Dedicated budget for training and conferences
Laptop and peripherals choice

Resumo da oferta

Mindera Group in Porto seeks a Senior Data Scientist to join an agile team. This role involves managing data infrastructure and statistical modeling while providing insights for strategic decisions.

The ideal candidate will demonstrate proficiency in Python/R and advanced SQL, working closely with marketing and product teams. Enjoy a flexible work culture with health insurance, professional growth opportunities, and a supportive environment.

Qualificações

  • High-level individual contributor working independently.
  • Expert in statistical modeling and data visualization.
  • Ability to influence marketing strategy through data.

Responsabilidades

  • Partner with marketing and product teams to define data metrics.
  • Lead creation of statistical models for marketing optimization.
  • Design narratives to communicate model outcomes to non-technical audiences.

Conhecimentos

Python or R proficiency
Advanced SQL skills
Statistical modeling
Data visualization
Creative problem solving

Ferramentas

CausalImpact
RStan
AWS
Azure
GCP
Databricks
Snowflake

Descrição da oferta de emprego

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.

You won’t just be managing infrastructure, you’ll be a technical partner helping us build resilient systems that scale.

We value empathy, self-organization, and the courage to take risks. If you love solving complex problems and believe that teaching others is the best way to learn, you’ll feel right at home here.

We’re looking for someone who loves to build, learn, and guide others. You’ll be working closely with our leadership (CEO/COO) and our clients, so clear communication and a collaborative spirit are key.

National and international expected traveling time varies according to project/client and organizational needs: 0%-15% estimated.

How You'll Contribute
  • Business Insight & Problem Definition: Partner closely with marketing and product teams to diagnose business challenges and define appropriate data metrics, analyses, and interpretations to drive strategic decisions.
  • Statistical Modeling: Define requirements for and lead the creation, monitoring, and iterative improvement of key statistical models used for marketing spend optimization and product growth.
  • Narrative & Visualization: Design clear, unambiguous narratives and data visualizations to communicate model outputs and analysis results to broad, non-technical audiences.
  • Rapid Prototyping: Independently prototype and test new insights, moving from hypothesis to rigorous validation with minimal mentorship.
  • Technical Consultation: Reason effectively about the strengths and weaknesses of different modeling approaches, selecting and iterating on combinations that suit specific marketing contexts.
We're Looking for Someone Who...
  • Has Senior-Level Impact: You are a high-level individual contributor who works with significant independence to lead complex data science initiatives that impact the Core Tech roadmap.
  • Is a Creative Problem Solver: You are solution-oriented, a self-starter, and have the ability to build compelling narratives from raw data.
  • Drives Strategic Influence: You have the ability to work across all levels of the organization to influence product and marketing strategy through data-backed evidence.
Your Technical Toolkit
  • Programming & Libraries: Expert proficiency in Python or R for sophisticated multi-dimensional data sets (specifically libraries like CausalImpact and RStan).
  • Data Carpentry: Advanced SQL skills to confidently manipulate and structure data.
  • Cloud Experience: Hands‑on experience working across major cloud providers (AWS, Azure, GCP).
  • Data Platforms (Nice to have): Familiarity or experience working within Databricks and Snowflake environments.
What’s in it for You?

We work in Self‑organization culture and therefore we offer a flexible, supportive environment where you are trusted to manage your own time and career.

  • Well‑being First: health insurance and "Open Holidays" because we trust you to know when you need a break.
  • Flexible Working hours and Work: Work from our vibrant hubs in Porto, Aveiro, or Coimbra, or choose a remote setup that works for you. As long as you are based in Portugal
  • Career Growth: A dedicated budget for training and conferences, plus a transparent profit‑sharing model.
  • Tools for Success: Choose Laptop & Peripherals that best suit your needs, plus Hotspot with unlimited usage (PT), for work or Netflix ;)
  • Team work makes the dream Work: Mindera Annual Trip, Sports, and sharing groups to connect and have fun!
Compensation
  • The maximum monthly gross salary for this position is 6000EUR. Final offers will be based on experience and alignment with the role's requirements.
Why Mindera?

At Mindera, we use technology to build products we are proud of, with people we love.

We believe diverse teams build better products. Mindera is a place where you can be your authentic self, regardless of gender, age, ethnicity, religion, or background. We strive to create an environment where everyone feels they belong and has an equal opportunity to grow.

Most of all, you get to work with a group of great people in a politics free environment where the whole team owns the project together. Our culture reflects our lean and self-management mindset, encouraging colleagues to take risks, make decisions, collaborate openly, and communicate with everyone.

Freedom and responsibility go hand in hand, and we value commitment, feedback, and empathy. We are proud of our work and love learning about everything as we navigate an Agile, Lean, and collaborative environment.

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