Data Scientist

Marley Spoon

Data Scientist role at Marley Spoon developing and deploying machine learning models to enhance meal personalization and improve forecasting. Collaborative environment with product, engineering, marketing and operations teams.

Posted 7/29/2026full-timeLisbon • 🇵🇹 PortugalMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning, statistics, and time-series modeling, with a strong proficiency in Python and SQL. Capable of developing and deploying data-driven models that enhance customer experiences and operational efficiency in e-commerce and subscription environments.

Highest-signal resume keywords

Machine LearningPython ProgrammingSQL ProficiencyRecommender SystemsAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatisticsTime-Series ModelingPython ProgrammingSQL ProficiencyScikit-LearnPyTorchXGBoostData ModelingDemand Forecasting

Soft Skills

Clear CommunicationOwnership MindsetProblem FramingCollaborationContinuous Improvement

Tools & Technologies

SnowflakeLookerAirflowData PlatformsModern Data Tools

Industry Keywords

E-CommerceSubscription ServicesConsumer ProductsPersonalizationCustomer Lifecycle Modeling

Tech Stack

Tools & technologies

AirflowPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

Develop and deploy models that connect directly to meaningful customer and business outcomes.
Help customers discover meals they are more likely to enjoy.
Enable teams to forecast demand more accurately.
Strengthen retention initiatives or support better operational planning.
Work closely with Product, Engineering, Marketing and Operations, taking ownership from initial problem framing and experimentation through to deployment, monitoring and continuous improvement.

Requirements

What you’ll need

Around 3+ years of experience in applied data science or a closely related role.
Strong foundations in machine learning, statistics and time-series modelling, with recommender-system experience considered a plus.
Strong proficiency in Python and SQL, with hands-on experience using libraries such as scikit-learn, PyTorch and XGBoost.
Experience working with modern data platforms and tools such as Snowflake, Looker and Airflow, or comparable technologies.
Experience taking models beyond experimentation and contributing to reliable, maintainable production solutions.
The ability to explain complex technical concepts clearly to non-technical stakeholders.
An ownership mindset and a strong focus on practical, measurable impact.
Experience in subscription, e-commerce or consumer-product environments would be valuable, as would prior work in personalization, recommendations, customer lifecycle modelling or product applications of generative AI.
Experience working in Agile, cross-functional product teams would also be beneficial.

Benefits

Comp & perks

Hybrid work policy (remote + office).
22 annual leave days +2 days extra days for every year of tenure (up to 6).
5 training days per year.
Private health insurance provided by Tranquilidade.
Food allowance of 7.62€/worked day under by Coverflex.
24/7 confidential employee assistance program.