Senior Data Scientist - Insights (Product Growth)

📌 Core Information

🔹 Job Title: Senior Data Scientist - Insights (Product Growth)

🔹 Company: Preply

🔹 Location: Barcelona, Catalonia, Spain

🔹 Job Type: On-site

🔹 Category: 🚀 Growth Marketing

🔹 Date Posted: April 2, 2025

🔹 Experience Level: 2-5 years

🔹 Remote Status: Remote OK

📌 Essential Job Details

🚀 Job Overview

Key aspects of this role include:

• Developing a deep understanding of product dynamics and user behavior
• Analyzing data to drive product evolution and strategy
• Communicating insights effectively to diverse stakeholders
• Defining key performance indicators and designing experiments

ASSUMPTION: The role focuses heavily on data-driven decision-making to support product growth. Interaction with both product teams and data departments is essential.

📋 Key Responsibilities

✅ Develop a deep understanding of user behavior and marketplace economics.

✅ Focus on continuous platform improvement through data analysis.

✅ Analyze customer behavior and communicate findings effectively.

✅ Quantify, model, and prioritize new product features.

✅ Define and track key performance indicators.

✅ Design and execute large-scale experiments.

✅ Build strong collaborative relationships across teams.

ASSUMPTION: The responsibilities likely include a mix of hands-on data analysis and strategic collaboration with key stakeholders.

🎯 Required Qualifications

Education: Not specified; likely a quantitative field such as Computer Science, Data Science, or related disciplines.

Experience: Experience in data analytics with product teams, strong statistical concepts familiarity, and A/B test design.

Required Skills:

• Data analytics and product optimization
• Designing and analyzing A/B tests
• Proficiency in SQL, Python

Preferred Skills:

• Experience with two-sided marketplaces
• Familiarity with product analytics and data visualization tools

ASSUMPTION: The role assumes familiarity with both business and technical environments, possibly implying flexible qualifications based on skill sets.

💰 Compensation & Benefits

Salary Range: Not specified; typically competitive with industry standards for similar roles in Barcelona.

Benefits:

• Potential for professional development and growth
• Collaborative and dynamic work environment
• Access to the latest tools and technologies

Working Hours: 40 hours per week, with remote flexibility.

ASSUMPTION: The company likely offers comprehensive benefits aligned with its growth and market position, although specific details are not provided.

📌 Applicant Insights

🔍 Company Context

Industry: Technology, Information and Internet, operating within the online education sector.

Company Size: 501-1,000 employees, providing potential for collaboration and diverse cultural experiences.

Founded: 2012, indicating a decade of market experience and growth.

Company Description:

• Pioneers in online language tutoring with a global footprint
• Committed to creating impactful learning experiences
• Culturally diverse with employees from over 62 nationalities

Company Specialties:

• Education and Tutoring
• Marketplace Development
• Corporate Language Training

Company Website: http://preply.com

ASSUMPTION: The company's leading position and rapid revenue growth suggest that it provides robust opportunities for professional impact and development.

📊 Role Analysis

Career Level: Senior professional with expertise in data science and analytics.

Reporting Structure: Likely reports to the Head of Data Science or Product Growth teams.

Work Arrangement: On-site in Barcelona with remote flexibility as needed.

Growth Opportunities:

• Opportunity to influence product strategies significantly
• Engagement with innovative and industry-leading projects
• Collaboration with a global team and diverse professional environments

ASSUMPTION: The role is strategically positioned to influence key growth metrics and drive product innovations.

🌍 Location & Work Environment

Office Type: Modern, collaborative workspace in a vibrant part of Barcelona.

Office Location(s): Carrer de Badajoz, 97, Barcelona, Catalonia.

Geographic Context:

• Barcelona is known for its rich culture and dynamic tech scene.
• Access to a vibrant startup community and networking opportunities.
• Proximity to various leisure and lifestyle amenities.

Work Schedule: Traditional work hours with potential for flexible arrangements.

ASSUMPTION: The location is appealing for individuals seeking both professional challenges and lifestyle benefits unique to Barcelona.

💼 Interview & Application Insights

Typical Process:

• Initial screening of applications
• Skill assessment and technical interview
• Evaluation of problem-solving and strategic thinking abilities

Key Assessment Areas:

• Technical proficiency in statistical methods and programming
• Ability to interpret and communicate data-driven insights
• Fit with company culture and strategic goals

Application Tips:

• Highlight experience with data-driven product growth
• Demonstrate proficiency in SQL and Python through past projects
• Showcase effective communication of complex insights

ATS Keywords: Data Analytics, A/B Testing, Statistical Concepts, SQL, Python, Problem-Solving, Critical Thinking

ASSUMPTION: The application process aligns with industry practices for similar roles, with a focus on technical and analytical competency.

🛠️ Tools & Technologies

• SQL for database querying and manipulation
• Python for data analysis and modeling
• Product analytics tools like Amplitude, Mixpanel

ASSUMPTION: The role requires expertise in widely-used analytics tools and programming languages essential for product data analysis.

👔 Cultural Fit Considerations

Company Values:

• Commitment to learning and development
• Emphasis on global cultural collaboration
• Focus on customer-centric innovation

Work Style:

• Collaborative and supportive team environment
• Innovative and open to new ideas
• Agility in adapting to change and new challenges

Self-Assessment Questions:

• How do I leverage data insights to influence product growth?
• Am I comfortable communicating complex data to non-technical audiences?
• What experiences do I have with marketplace dynamics and user behavior?

ASSUMPTION: The company culture prizes innovation, collaboration, and continuous improvement, making it ideal for proactive and insightful professionals.

⚠️ Potential Challenges

• Balancing rigorous data analysis with actionable insights
• Working across different time zones and cultural contexts
• Driving influence within a fast-paced, change-oriented environment
• Keeping up with rapidly evolving technology and analytical tools

ASSUMPTION: Challenges are typical of growing tech companies, especially those focused on global scale and product influence.

📈 Similar Roles Comparison

• Data Scientist roles often emphasize technical skills over strategic growth insights.
• Product Manager roles focus more on roadmap and less on deep data analytics.
• Marketing Analyst positions may not require as intensive technical proficiency.

ASSUMPTION: This role uniquely combines deep technical data science expertise with strategic product growth responsibilities.

📝 Sample Projects

• Implementation and analysis of A/B tests for feature enhancements
• Development of user retention models and engagement metrics
• Collaboration on cross-functional projects to drive KPI changes

ASSUMPTION: Project examples are speculative; exact projects will depend on current business priorities and product cycles.

❓ Key Questions to Ask During Interview

• How does the data team collaborate with product and marketing teams?
• What are the main challenges in data interpretation you face?
• How are analytics projects prioritized here?
• Can you describe a successful product growth initiative recently?
• What tools and support are available for ongoing learning and development?

ASSUMPTION: Interview questions should probe the integration of data insights with strategic growth initiatives and team collaboration.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through the company's careers page
• Prepare your resume highlighting relevant data science and product growth experience
• Include a cover letter emphasizing your strategic insights and analytic achievements
• Review your understanding of marketplace dynamics and behavioral analytics
• Be ready for potential portfolio demonstrations of past work

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.