Machine Learning Data Scientist

Preply Inc.
Barcelona, Spain
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

A/B Testing Artificial Intelligence Data Analysis Data Visualization Python (Programming Language) Machine Learning Power BI Mixpanel Tableau (Software) Data Analytics Amplitude Analytics Heap (Data Structure)
+1 more
Looker Analytics

Job description

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.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.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.As a Senior Data Scientist, you will be a key player in shaping the future of our product and driving our strategy forward.Embedded within a cross-functional squad, you’ll collaborate closely with product managers, tech leads, designers, and other key stakeholders to deliver data-driven insights that shape business decisions.Our Data Team is dedicated to empowering top-quality decision-making.Focus on the continuous improvement of our platform by gathering and analyzing data to uncover valuable insights that will shape product evolution and strategy.Help define key performance indicators, tracking events, and engagement metrics that align with business goals and product improvements.Design, execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes.Build strong relationships with data and technical leaders to foster collaboration and drive cross-team initiatives.What you need to succeedExperience in data analytics working with product teams, experimenting and uncovering opportunities for product optimization.Experience designing and analyzing A/B tests with a strong grasp of relevant statistical concepts.Strong understanding of data analysis concepts such as conversion, LTV, cohort analysis, retention, etc.SQL, Python), with the ability to write efficient and scalable code.Ability to craft compelling stories with data and communicate complex insights in a clear and engaging way, driving change among diverse stakeholders.Nice to haveBackground in 2-sided marketplaces or digital businesses (B2B, B2C, B2B2C).Amplitude, Mixpanel, Heap).Familiarity with machine learning techniques and how they can be applied to enhance user behavior predictions or product recommendations.Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).Master’s degree or PhD in a quantitative field.Why you’ll love it at PreplyAn open, collaborative, dynamic and diverse culture;com, Learning & Development budget and time off for your self-development;A competitive financial package with equity, leave allowance and health insurance;We offer an attractive relocation package to join us in our Preply Barcelona HubAccess to free mental health support platforms;We do it for learners - For both Preply and tutors, learners are why we do what we do.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.Growth mindset - We proactively seek growth opportunities and believe today’s best performance becomes tomorrow’s starting point.Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion.Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree.We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company.

Requirements

Focus on the continuous improvement of our platform by gathering and analyzing data to uncover valuable insights that will shape product evolution and strategy.Help define key performance indicators, tracking events, and engagement metrics that align with business goals and product improvements.Design, execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes.Build strong relationships with data and technical leaders to foster collaboration and drive cross-team initiatives.What you need to succeedExperience in data analytics working with product teams, experimenting and uncovering opportunities for product optimization.Experience designing and analyzing A/B tests with a strong grasp of relevant statistical concepts.Strong understanding of data analysis concepts such as conversion, LTV, cohort analysis, retention, etc.SQL, Python), with the ability to write efficient and scalable code.Ability to craft compelling stories with data and communicate complex insights in a clear and engaging way, driving change among diverse stakeholders. Nice to haveBackground in 2-sided marketplaces or digital businesses (B2B, B2C, B2B2C). Amplitude, Mixpanel, Heap). Familiarity with machine learning techniques and how they can be applied to enhance user behavior predictions or product recommendations.Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).

Benefits & conditions

Master’s degree or PhD in a quantitative field.Why you’ll love it at PreplyAn open, collaborative, dynamic and diverse culture;com, Learning & Development budget and time off for your self-development;A competitive financial package with equity, leave allowance and health insurance;We offer an attractive relocation package to join us in our Preply Barcelona HubAccess to free mental health support platforms;We do it for learners - For both Preply and tutors, learners are why we do what we do. 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. Growth mindset - We proactively seek growth opportunities and believe today’s best performance becomes tomorrow’s starting point. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company.

About the company

Barcelona, España

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. 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.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. As a Senior Data Scientist, you will be a key player in shaping the future of our product and driving our strategy forward. Embedded within a cross-functional squad, you’ll collaborate closely with product managers, tech leads, designers, and other key stakeholders to deliver data-driven insights that shape business decisions.

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