Experienced 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.
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
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Problem Framing: Partner directly with Marketing and Product leadership to turn vague business problems into clear metrics and actionable hypotheses.
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Statistical Modeling & Causal Analysis: Build, iterate, and monitor statistical models. Distinguish genuine causal impact from correlation to optimize marketing spend and product growth.
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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.
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Data Storytelling: Translate complex algorithmic behavior into simple, visual narratives for US/UK stakeholders.
Requirements
🌿 We're looking for someone who...
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Has a Business-First Mindset: You balance statistical rigor with the speed required for business decisions.
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Is an Effective Communicator: You possess clear, fluent English communication skills and are comfortable presenting technical work to non-technical business leaders.
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Brings Domain Context (Nice to have): You have experience in Gaming, Entertainment, or Marketing (LTV, Churn, Retention, Segmentation).
🛠️ Your Technical Toolkit:
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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).
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Programming: Advanced proficiency in either Python OR R for multi-dimensional data handling (both are not required).
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Data Carpentry: Advanced SQL skills to independently query, clean, and architect complex datasets.
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Experimentation (Nice to have): Familiarity with Geo-lift, holdouts, or formal A/B testing frameworks.
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Stack & Tools (Nice to have): Experience with Databricks , Snowflake , major Cloud providers ( AWS , GCP , Azure ), AI/ML toolkits, or Bayesian libraries.
💬 Recruitment Stages
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Screening - Reviewing CVs and eligibility verification.
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1st Call - 30 minute call to access Technical & Culture Fit with IT Recruiter.
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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
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Cultural Interview - 1-hour call with a Minder to assess cultural fit with Mindera and align expecta