About Marley Spoon
Were Marley Spoon a food-tech company on a mission to help people cook better eat smarter and waste less. Our meal kits are powered by data across menu planning marketing operations and logistics. Now were looking for a
Lead Data Scientist Growth & Personalization
based in
Portugal
working
remote-first
with the option to join colleagues in our
Lisbon office
for collaboration days.
About the Role
Youll report to our
VP Data & AI
and lead a small but high-impact group of Data Scientists and ML-focused analysts partnering closely with our Digital (Product Design Engineering) and Marketing teams.
In your first **** months you will:
1. Own personalization & recommendations (your core mandate)
Design build and iterate
recommender systems that personalise menus content and customer journeys across our brands.
Use ranking uplift modelling and experimentation to help customers quickly find meals theyll actually love increasing first-box and repeat conversion.
Work with Product and Design to translate model outputs into simple intuitive experiences.
2. Drive growth analytics & marketing effectiveness
Develop models and analytical frameworks for
LTV CAC payback attribution and audience targeting
across paid and lifecycle channels.
Partner with Growth and CRM teams to
set up and evaluate experiments
(e.g. new offers onboarding flows lifecycle journeys) and turn insights into action.
Help shape how we allocate marketing budget by bringing
data-driven scenarios and trade-offs
to the table.
3. Reduce churn & improve retention
Build and refine
churn and reactivation models
to identify at-risk customers and the levers most likely to retain them.
Collaborate with Product CRM and Customer Care to design targeted interventions and measure their impact through controlled experiments.
4. Raise the bar on ML in production
Oversee the
end-to-end lifecycle
of key modelsfrom problem framing and data selection to deployment monitoring and retraining.
Work with our data and platform teams to ensure
robust observable ML services
(versioning alerting performance tracking) that teams can trust and use.
5. Lead and grow a small DS/ML team
Coach and mentor
23 Data Scientists / ML-focused analysts
helping them sharpen their craft and own meaningful parts of the roadmap.
Provide clear direction regular feedback and a psychologically safe environment where experimentation and learning are part of everyday work.
6. Champion an experimentation & data-first culture
Partner with Product Engineering Digital and Marketing to
design A/B tests
interpret results and make balanced decisions (speed vs. rigour).
Help non-technical stakeholders understand
what the models say what they dont say and where uncertainty sits
so they can make better calls
Youll occasionally collaborate with Analytics and Operations on
forecasting and supply/demand topics
but your
core ownership is growth & personalization
not all things data..
About You
Youre a technically strong Data Scientist whos already stepped into leadership and now wants a role where you can both build and shape a function.
Youll likely bring:
6 years
of experience in Data Science / ML with
3 years in a lead role
guiding teams and shipping production ML systems.
Deep experience with
machine learning & statistical modelling
in at least one of: recommender systems experimentation platforms growth analytics or retention / churn modelling.
Strong skills in
Python SQL
and common ML libraries (e.g. scikit-learn XGBoost PyTorch or similar).
A track record of connecting models to
real business outcomes
for example improved retention uplift in conversion better ROI on marketing spend or more efficient operations.
Experience with modern data stacks (e.g. a
cloud data
warehouse
such as Snowflake or similar BI tools like Looker and orchestration / deployment tools for ML).
Clear confident communication with both technical and non-technical stakeholders especially when explaining
trade-offs uncertainty and experiment results.
A collaborative pragmatic mindset: you care less about the fanciest model and more about
what works scales and gets adopted.
How We Work
This role is
remote within Portugal.
We occasionally bring people together in person (e.g. for workshops planning or team days) and youll have the option to join meet-ups in Lisbon or other hubs but theres no weekly office requirement.
Youll join a
Data Tribe
that brings together Data Analytics and ML across brands and markets with peers who care about craft impact and knowledge-sharing.
Day-to-day youll work most closely with our
Digital
(Product Design Engineering) and
Marketing
teams turning ideas into experiments and models into shipped features.
Please note:
were currently only able to consider candidates who already have the
right to work in Portugal
. Were not able to sponsor visas for this role.
Benefits:
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.