Our partner is looking for a Data Scientist Early Hire, Full Model Ownership, B2C SaaS based in Spain.

This is a unique opportunity to join a growing data team at an early stage and play a foundational role in shaping how machine learning and experimentation drive business outcomes. You will take full ownership of predictive models from problem definition through deployment, monitoring, and performance evaluation. Working closely with Product, Growth, Engineering, and Finance teams, you will help transform data into actionable insights that influence product strategy and revenue growth. The role offers significant autonomy, broad business exposure, and the chance to build scalable data science practices from the ground up. You'll work in a fast-paced, remote-first environment where experimentation, innovation, and measurable impact are highly valued. If you enjoy solving complex business problems with data and seeing your work directly influence company performance, this role offers exceptional ownership and visibility.

Design, build, validate, deploy, and monitor machine learning models that support key business objectives such as churn prediction, customer lifetime value forecasting, propensity modeling, uplift modeling, and recommendation systems.

Own the complete machine learning lifecycle, including feature engineering, model development, evaluation, deployment, monitoring, and continuous optimization.

Monitor production models, ensuring performance remains accurate and relevant as user behavior and product dynamics evolve.

Design and analyze experiments, including A/B tests and causal inference studies, to evaluate business impact and support data-driven decision-making.

Collaborate with data engineering teams to productionize models through scalable data pipelines, feature stores, and robust deployment processes.





Identify opportunities to leverage AI and machine learning to improve customer experiences, product performance, and revenue outcomes.

Ensure responsible use of customer data through privacy-conscious modeling practices and compliance with data governance standards.

3+ years of experience building, deploying, and maintaining machine learning models in production environments.

Strong proficiency in Python and SQL, with hands-on experience using modern machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow.

Solid understanding of statistics, experimentation methodologies, hypothesis testing, causal inference, and predictive modeling techniques.

Demonstrated ability to own projects end-to-end, from business problem framing through production deployment and impact measurement.

Familiarity with MLOps practices, feature stores, real-time inference pipelines, or scalable machine learning infrastructure is a plus.

Knowledge of product analytics platforms such as Amplitude, Mixpanel, or Segment is an advantage.

Fully remote position with the flexibility to work from the Netherlands and across eligible European locations.

Adaptable working hours aligned with European business hours.

Competitive B2B contract arrangement.

22 days of paid time off in addition to public holidays.

Opportunity to build and shape a growing data function from an early stage.

Exposure to impactful machine learning initiatives with measurable business outcomes.

Close partnership with senior stakeholders and cross-functional teams across the organization.

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📌 Data Science Data Science Senior Data Scientist (Python) (Remote)
🏢 Jobgether
📍 Málaga