Lead Data Scientist, Growth & Personalization
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Use data science and ML to shape how millions of people cook at home and actually see your models in production.
About Marley Spoon
Marley Spoon is a food-tech company on a mission to help people cook better eat smarter and waste less. We deliver flexible meal solutions across six countries powered by data that touches everything from menu planning and marketing to operations and logistics.
Our Data & Digital Product teams work closely with Marketing Operations and Engineering to ship things that matter: better customer experiences less waste and a more resilient business.
The Role
Were looking for a Lead Data Scientist Growth & Personalization who wants to own the applied DS/ML roadmap for key growth and customer problems not just ship a one-off model and move on.
This is a senior hands-on role where you will:
- Set the direction for how we use data science & ML across personalization forecasting marketing and retention
- Lead and mentor a small high-impact group of Data Scientists and ML Engineers
- Stay close to the code the models and the decisions they drive day-to-day
If you enjoy moving between strategy experimentation and implementation this will feel like home.
What youll work on
Youll sit at the intersection of Data Product and Marketing with a clear mandate to improve how we acquire serve and retain customers. You will:
- Shape the DS/ML roadmap
- Define and evolve a practical roadmap aligned with company priorities
- Prioritise problems based on business impact and feasibility
- Lead applied data science & ML work
- Design and build models for:
- Customer personalization & recommendations (meals content communications)
- Forecasting for demand supply chain and operations
- Marketing effectiveness (targeting attribution LTV CAC payback)
- Retention & churn prevention across the customer lifecycle
- Own models end-to-end: problem framing feature design evaluation deployment and monitoring
- Design and build models for:
- Drive experimentation
- Partner with Product & Marketing on A/B tests hold-outs and other experiments
- Set up guardrails define success metrics and make clear trade-offs
- Build foundations for sustainable DS/ML
- Work with Data Engineering and Platform on MLOps best practices
- Improve reliability observability and documentation of our DS/ML systems
- Raise the bar on how we use data across the organisation
About you
You treat data science and ML as tools for solving real problems not buzzwords. Youre comfortable with complexity but you care most about business outcomes and maintainable systems.
Wed love to hear from you if you:
- Have 4 years in data science / machine learning including at least 2 years in a lead capacity
- Have owned production DS/ML systems in a product or growth context (not just PoCs)
- Are fluent in Python and SQL and have worked with common ML libraries (e.g. scikit-learn XGBoost; any deep learning framework is a plus)
- Are comfortable with a modern data stack (e.g. Snowflake/BigQuery dbt orchestration tools dashboards)
- Have led and mentored other Data Scientists / ML Engineers formally or informally
- Communicate clearly with both technical and non-technical stakeholders and can translate between model metrics and business outcomes
- Enjoy switching between hands-on coding roadmap thinking and stakeholder conversations
Nice to have (but not required):
- Experience in e-commerce subscription or consumer products
- Familiarity with marketing CRM lifecycle or pricing analytics
- Experience working in a fast-moving scale-up environment
How we work
- Hands-on leadership youll still be coding reviewing and designing experiments.
- Cross-functional by default youll collaborate with Product Marketing Ops and Engineering regularly.
- Pragmatic DS/ML we care more about robust explainable models that improve decisions than chasing hype.
Benefits
We believe in balance growth and building a workplace where people can do their best work over time. Our benefits reflect that.
Heres what we offer:
- Location: Work remotely with optional collaboration time in our office in Lisbon
- Generous leave: 22 vacation days 2 extra per year of tenure (up to 6)
- Learning support: 5 paid training days annually
- Health coverage: Private insurance via Allianz
- Daily food allowance: 7.62 per worked day
- Wellbeing support: Confidential employee assistance program (24/7)
Ready to apply
If youd like to build DS/ML systems that are used every day and see your work directly shape how people cook at home wed love to hear from you.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
In 2014 Marley Spoon launched as a meal kit delivery service featuring fresh high quality ingredients and easy-to-follow recipes. Each box is personalized to a customers unique taste with the ability to customize recipes with upgrades protein swaps gluten-free options and so much more ... View more
