Experience Data Scientist

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.

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...

🌿 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.

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.

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...

🌿 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.