Back to jobs

Staff Data Scientist - Paid Marketing Optimization

London · London, Greater London, United Kingdom

Live, first seen by us 30 days ago
Pay
Pay not listed
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Data — team source

What you’ll work on

Full posting

This role requires a real interest in the marketing bidding universe and the ability to work with a lot of ambiguity.

Design our Creative Analytics framework (creative performance modeling) - Own, design and develop our Creative Analytics Framework.

  • Design and own a creative performance analytics framework and drive its findings into media decisions

  • Improve the predicted conversion value sent to Google and Meta for value-based bidding

  • Build uplift models to define prospecting seeds, remarketing audiences and exclusion lists

From the employer’s posting
This role requires a real interest in the marketing bidding universe and the ability to work with a lot of ambiguity. You will go deep into each channel, understand its bidding and optimization behavior, and derive data driven solutions to increase each channel's ROI through bidding, audience and creative optimization. Marketing brings the business questions, you define the success metrics and the modeling approach to answer them. A lot of this is untapped territory and there is nothing off the shelf to buy, so inventing the approach and convincing your stakeholders of it is a big part of the job.
Design our Creative Analytics framework (creative performance modeling) - Own, design and develop our Creative Analytics Framework. Drive its findings into decisions with the creative and media-buying teams, and automate detection, reporting and action with MarTech. Longer term, build models that separate what a creative actually causes from what the algorithm’s delivery decides for it, so we can predict the incremental drivers of creative efficiency.
Own, design and develop our Creative Analytics Framework
improve the predicted conversion value we send to Google and Meta
Create customer uplift models to identify incremental value and build audiences that improve marketing efficiency

What you’ll bring

All qualifications

Core experience

  • Python, SQL and a distributed framework such as Spark (Databricks used)
  • Advanced modelling, including propensity and uplift models
  • Causal inference and experiment design
  • Experience with marketing or attribution data and how bidding platforms use signals
  • Comfort working across teams you do not control
Qualification wording
Python, SQL and a distributed framework like Spark; we use Databricks
Advanced modelling. Propensity models to value earlier funnel events and refine targeting, and uplift models to identify incremental value.
Causal inference and experiment design.
Experience with marketing or attribution data, and a working understanding of how bidding platforms consume the signal you send them.
Comfort working across teams you don't control.
Apply at Preply

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 14, 202630 days ago
Recorded sightings
41
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 30

Similar jobs usually come down between day 8 and day 60.

At Preply, jobs usually come down by about day 64.

From 11,783 similar postings that came down, and 21 of Preply’s. Coming down is not always a hire.

Preply is hiring

29 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Databricks
  • Spark
Where the posting names them
What you need to succeed: - Python, SQL and a distributed framework like Spark; we use Databricks. - Experience with marketing or attribution data, and a working understanding of how bidding platforms consume the signal you send them. You don't need to have run campaigns, but you should find how they behave genuinely interesting.

Your next step

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

Applying through Ashby

  • No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.

Already applied? Track this application

Has Preply posted this job before?

Yes. We’ve followed one other Staff Data Scientist - Paid Marketing Optimization job there since October 2026. It is still up.

  1. BarcelonaStill up after 30 days, first seen Oct 14
  2. This jobUp 30 days so far, first seen Oct 14

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

We power people’s progress.

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.

We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.

Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Meet the team!

At Preply, we're growing a talented Data Team to empower top-notch decision-making across our organization. Our team collaborates closely with various other chapters - including product, business, and platform - leveraging analysis, experimentation, causal inference, and machine learning.

 

You’ll be embedded in cross-functional teams, partnering with our MarTech Product Manager, Marketeers, Tech Leads, and the Data Strategy team. Check out our Tech Radar to see the tools and technologies we love using at Preply!

 

About this role:

This role requires a real interest in the marketing bidding universe and the ability to work with a lot of ambiguity. You will go deep into each channel, understand its bidding and optimization behavior, and derive data driven solutions to increase each channel's ROI through bidding, audience and creative optimization. Marketing brings the business questions, you define the success metrics and the modeling approach to answer them. A lot of this is untapped territory and there is nothing off the shelf to buy, so inventing the approach and convincing your stakeholders of it is a big part of the job.

What you’ll be doing:

  • Design our Creative Analytics framework (creative performance modeling) - Own, design and develop our Creative Analytics Framework. Drive its findings into decisions with the creative and media-buying teams, and automate detection, reporting and action with MarTech. Longer term, build models that separate what a creative actually causes from what the algorithm’s delivery decides for it, so we can predict the incremental drivers of creative efficiency.

  • Cohort maturity prediction (conversion-lag prediction) - Minimize steering delay: predict how many of today’s clicks will convert, and connect today’s spend to conversions that haven’t happened yet.

  • Bidding signal optimization (value-based bidding) - Work with our channel managers and Applied AI team to improve the predicted conversion value we send to Google and Meta, iterating through which funnel events we optimise on and what predictions we attach to them. Predict too early and the signal is noisy, too late and the algorithm doesn’t get enough data to learn from.

  • Audience optimization (uplift modeling) - Create customer uplift models to identify incremental value and build audiences that improve marketing efficiency. Tell the networks who to look for and who to skip, and feed that back as prospecting seeds, remarketing audiences and exclusion lists.

  • Work closely with the Data Engineering and Applied AI team on scalable data pipelines, the evolution of our ETL processes, and the adoption of new tools and frameworks.

What you need to succeed:

  • Python, SQL and a distributed framework like Spark; we use Databricks.

  • Experience with marketing or attribution data, and a working understanding of how bidding platforms consume the signal you send them. You don't need to have run campaigns, but you should find how they behave genuinely interesting.

  • Advanced modelling. Propensity models to value earlier funnel events and refine targeting, and uplift models to identify incremental value.

  • Causal inference and experiment design. Separating what a channel drives from what it takes credit for, and designing the test that settles it when the platform controls delivery.

  • The instinct to turn a business hypothesis into something testable, and the honesty to say when the data can't answer it.

  • Comfort working across teams you don't control. This role runs on close collaboration with Applied AI, marketing measurement, MarTech and tracking, and CRM.

You might come from marketing DS, ads ML, recommender systems or any applied ML role where your model’s output fed another algorithm.

Why you’ll love it at Preply:

  • An open, collaborative, dynamic and diverse culture;

  • A generous monthly allowance for lessons on Preply.com, Learning & Development budget and time off for your self-development;

  • A competitive financial package with equity, leave allowance and health insurance;

  • Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub

  • Access to free mental health support platforms;

  • Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health;

  • The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Our Principles

  • Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.

  • We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.

  • Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.

  • Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.

  • Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.

  • Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.

  • Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.

  • Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.

  • Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.

  • One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, and Inclusion

Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

London, Greater London, United Kingdom

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.