Lead Data Scientist - Remote

Lead Data Scientist - Remote
Viseu
Viseu, Viseu District, Portugal

About Marley Spoon
We’re Marley Spoon, a
- 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 we’re 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
You’ll report to our

VP Data & AI

and lead a small but
- impact group of Data Scientists and ML-focused analysts, partnering closely with our Digital (Product, Design, Engineering) and Marketing teams.

In your first 12–18 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 they’ll actually love, increasing
- 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
- offs

to the table.

3. Reduce churn & improve retention

Build and refine

churn and reactivation models

to identify
- 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 models—from 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

2–3 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 &
- first culture

Partner with Product, Engineering, Digital, and Marketing to

design A/B tests, interpret results, and make balanced decisions (speed vs. rigour).

Help
- technical stakeholders understand

what the models say, what they don’t say, and where uncertainty sits, so they can make better calls

You’ll 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
You’re a technically strong Data Scientist who’s already stepped into leadership and now wants a role where you can both build and shape a function.

You’ll 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.
- learn, XGBoost, Py
Torch 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
- 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 you’ll have the option to join
- ups in Lisbon or other hubs, but there’s no weekly office requirement.

You’ll join a

Data Tribe

that brings together Data, Analytics, and ML across brands and markets, with peers who care about craft, impact, and
- sharing.

Day-to-day, you’ll work most closely with our

Digital

(Product, Design, Engineering) and

Marketing

teams, turning ideas into experiments and models into shipped features.

Please note:

we’re currently only able to consider candidates who already have the

right to work in Portugal. We’re not able to sponsor visas for this role.

Benefits:

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.

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