Senior Data Scientist

Shalion; Barcelona; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Meal vouchers (pre-tax)

Transport allowance

Private healthcare

Fresh fruit and coffee

Permanent contract

Office in Barcelona

Job summary

Shalion is in Barcelona looking for a Senior Data Scientist to join our Data Science team and work on advanced analytics at the core of our product, measuring the real impact of brands' actions on sales across 1000+ e-retailers in 60+ countries. You will handle large daily datasets, emphasize causal methods over fancy models, and explain results clearly to product and business colleagues.

The role offers hybrid work in Barcelona with 3 days in-office and 2 days remote, plus a competitive package

Qualifications

• 4+ years of experience as a Data Scientist or in advanced analytics in a business context.
• Strong background in statistics, experimentation, and working with real-world data.
• Proficient in causal inference methods and when to apply them.
• Proven ability to explain complex results to non-technical stakeholders.

Responsibilities

• Design and implement impact measurement solutions at scale.
• Analyze large-scale e-commerce data to understand drivers of sales.
• Balance model complexity with practical value and product needs.
• Collaborate with Product, Data Engineers and ML Engineers to integrate features.
• Communicate findings clearly to colleagues and clients.
• Mentor colleagues and share knowledge within the team.

Skills

Python

SQL

Causal inference

A/B testing

Communicate results clearly

Fluent English

Fluent Spanish

Tools

Snowflake

AWS

Job description

Shalion is a data and insights-driven company that serves world-class manufacturers and brands globally. Through our Digital Shelf Optimization, Retail Media, and Food Service Aggregators solutions, we provide innovative tools for e-commerce monitoring.

At Shalion, we empower brands to make smarter business decisions in eCommerce by delivering actionable data and insights on online product prices, availability, share of search, and more. We operate across 1000+ e-retailers in 60+ countries, serving industry giants such as Heineken, Lego, Danone, Nestlé, Diageo, and JDE.

As a leader in data intelligence, we specialize in gathering, analyzing, and applying proprietary artificial intelligence to deliver relevant data and monitoring tools, helping our clients maximize their e-commerce performance.

The role

As a Senior Data Scientist, you will join our Data Science team and work on advanced analytics problems at the core of our product, such as measuring the real impact of brands’ actions (retail media campaigns, promotions, pricing or availability changes) on their sales. You will work with very large datasets collected daily across 1000+ e-retailers in 60+ countries.

We are looking for someone with strong analytical judgement and a good understanding of causal methods, who cares about getting a reliable answer into the product more than about the most sophisticated model. You will work close to the business and product teams, so explaining results clearly matters as much as producing them.

Your Responsibilities

• Design and develop impact measurement solutions for our clients, from the analytical approach to a solution that can run at scale.

• Explore and analyze large-scale e-commerce data (prices, availability, search, retail media and sales) efficiently, to understand what drives sales, and validate that results make business sense.

• Choose the right level of complexity for each problem: start simple, iterate, and add sophistication only when it brings real value.

• Work with Product, Data Engineers and ML Engineers to turn analyses and models into features of our platform.

• Communicate findings and limitations clearly to non-technical colleagues and, when needed, to clients.

• Share knowledge within the team and support less experienced data scientists.

Your profile:

• 4+ years of experience as a Data Scientist or in an advanced analytics role, with solutions used in a real business context.

• Strong analytical background: statistics, experimentation (A/B testing) and working with messy, real-world data.

• Knowledge of causal inference methods (e.g. difference-in-differences, synthetic control, matching, uplift models) and when each one makes sense.

• Strong Python and SQL skills, with hands-on experience working efficiently with large datasets.

• Ability to explain technical results in a simple way.

• Fluent English & Spanish.

• (Bonus) Experience in e-commerce, retail media, marketing measurement or CPG.

• (Bonus) Experience with cloud environments (AWS preferred) and data platforms such as Snowflake.

Soft Skills

• You value scientific rigor just as much as simplicity.

• You want to understand the client's problem, not only the data.

• You question results and are honest about what the data can and cannot tell.

• You are a team player, comfortable working with people from different backgrounds and roles.

What We Offer

An international team – Work with colleagues from 10+ nationalities.

A dynamic and innovative environment – Be part of a high-performing team

Hybrid work model – 3 days in-office, 2 days remote.

Impactful work – Contribute to a challenging and innovative project.

Flexible benefits – allocate part of your gross salary (pre-tax) to meal vouchers, transport allowance, and private healthcare at a preferential rate.

Office perks – Fresh fruit and specialty coffee daily.

Contract – Permanent

Great location – Office in Barcelona’s Sarrià-Sant Gervasi district.

Shalion Data Services Limited is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.