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Staff Data Scientist

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
  • Build long-term strategy and decision frameworks for the domain's key value drivers

  • Design the experimentation programme and evaluate large-scale experiments

  • Lead deep analyses of customer behavior and retention dynamics

  • Own impact modeling, forecasting and scenario analysis for major product initiatives

  • Own definition and governance of key metrics in the domain

From the employer’s posting
Develop and formalize a strategic understanding of the key value drivers of your domain
Design the experimentation programme in your domain and execute, and evaluate large-scale experiments
Lead deep analytical investigations into customer behavior and retention dynamics
Own impact modeling and scenario analysis for major product initiatives
Own the definition and governance of key metrics within your domain

What you’ll bring

All qualifications

Core experience

  • Track record of materially influencing product or business strategy
  • Expertise in experimentation and causal inference
  • Strong understanding of subscription and marketplace economics, including LTV modeling
  • Strong technical proficiency in SQL and Python
  • Experience mentoring and technically guiding senior data scientists
Qualification wording
Demonstrated track record of materially influencing product or business strategy in complex environments
Expertise in experimentation and causal inference
Strong understanding of subscription and marketplace economics, including LTV modeling
Strong technical proficiency (e.g., SQL, Python)
Experience mentoring and technically guiding senior data scientists
Education & alternatives
- Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI). - Master's degree or PhD in a quantitative field. - Demonstrated experience developing Senior Data Scientists and contributing to raising the analytical bar across teams.
Apply at Preply

Posting record

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Open 5 monthsWe first saw this posting 164 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 2, 2026164 days ago
Recorded sightings
281
Last seen by us
Nov 14, 2026
Employer says posted
Apr 9, 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 164

Up longer than most. Similar jobs usually come down between day 8 and day 60.

Well past Preply’s usual: its jobs 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
  • Looker
  • Power BI
  • Tableau
Where the posting names them
- Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization. - Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows. - Experience mentoring and technically guiding senior data scientists, contributing to the overall growth and maturity of the data organization.
- Experience applying advanced analytical methods (e.g., forecasting, causal modeling, pricing optimization) to drive structural business improvements. - Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI). - Master's degree or PhD in a quantitative field.

Your next step

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Has Preply posted this job before?

Yes. We’ve followed 2 other Staff Data Scientist jobs there since June 2026. All 2 are still up.

  1. LondonStill up after 165 days, first seen Jun 2
  2. BarcelonaStill up after 165 days, first seen Jun 2
  3. This jobUp 165 days so far, first seen Jun 2

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, data is at the heart of every decision we make. We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges. The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact.

As a Staff Data Scientist , you will own the data strategy for a critical product domain (e.g., Growth, Retention, Marketplace) and act as the senior analytical authority in that space. You will partner with Directors and VPs across Product, Engineering, and Business to shape long-term strategy, influence investment decisions, and ensure our roadmap is grounded in rigorous, scalable measurement frameworks.

Our Data Team is dedicated to empowering top-quality decision-making. Do you want to know how? Visit our Tech Radar to learn about the technologies we use at Preply!

What you’ll be doing:

  • Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership.

  • Define the long-term measurement and experimentation strategy for your domain, identifying structural growth levers and step-change opportunities beyond incremental optimization.

  • Design the experimentation programme in your domain and execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes.

  • Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step-change improvements in long-term value.

  • Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade-off analysis, and risk assessment.

  • Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company-level objectives.

  • Act as a senior thought partner to product, engineering, and data leaders, driving alignment across teams and elevating analytical standards across the organization.

  • Lead cross-domain analytical initiatives (e.g., company-wide LTV modeling, pricing strategy, marketplace health framework).

What you need to succeed:

  • Demonstrated track record of materially influencing product or business strategy in complex environments, with clear examples of company-level impact.

  • Expertise in experimentation and causal inference, including operating under imperfect conditions, resolving ambiguity, and guiding high-stakes decisions where clean experiments are not always feasible.

  • Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization.

  • Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows.

  • Experience mentoring and technically guiding senior data scientists, contributing to the overall growth and maturity of the data organization.

  • Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges.

  • Ability to influence Directors and VP-level stakeholders, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions.

  • Interest in the bigger picture, feeling excited to impact the product roadmap and strategy.

Nice to have:

  • Background in 2-sided marketplaces or digital businesses (B2C, B2B2C).

  • Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap).

  • Experience applying advanced analytical methods (e.g., forecasting, causal modeling, pricing optimization) to drive structural business improvements.

  • Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).

  • Master's degree or PhD in a quantitative field.

  • Demonstrated experience developing Senior Data Scientists and contributing to raising the analytical bar across teams.

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;

  • Access to free mental health support platforms;

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

#LI-AG1

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.

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Kyiv, Ukraine

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