Senior Data Scientist
At a glance
Senior Data Science role at Shalion. Barcelona · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Build impact-measurement methods for clients, taking each from analytical design to a solution that scales
- Study prices, availability, search, retail media and sales data to identify sales drivers and check that findings hold up commercially
- Start with a simple approach, then add complexity only when it improves the answer
- Turn analyses and models into platform features alongside product, data engineering and machine learning colleagues
- Explain findings and caveats to nontechnical teammates and clients, and help less experienced data scientists grow
What you bring
- At least four years as a data scientist or advanced analytics specialist, with work deployed in a real business setting
- A strong grounding in statistics, A/B testing and analysis of messy, real-world data
- Practical knowledge of causal inference approaches and how to choose among them
- Strong Python and SQL skills, plus experience handling large datasets efficiently
- Fluency in both English and Spanish
Who this fits
This role suits a senior data scientist who values sound evidence, clear explanations and practical solutions over unnecessary model complexity. You’ll work closely with business and product teams, and support junior colleagues. The role is hybrid, with three days each week in the Barcelona office and Tuesdays and Wednesdays remote.
From the employer
Shalion is an eCommerce intelligence company. Our platform brings digital shelf, retail media and food service data together and shows global brands exactly how their products perform online: availability, pricing, content and share of search. With Maestro, our conversational AI, they get answers in seconds and make better decisions, faster.
Every day, we collect 100 million data points from over 2,000 retailers in 85+ countries, for brands such as Heineken, Lego, Danone, Nestlé, Coca-Cola and JDE. We are about 140 people, with offices in Barcelona, Buenos Aires and New York, and colleagues across Europe, the Americas and Asia.
The roleAs 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 85+ 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.
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.
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.
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.
Contract: Permanent, full time.
Hybrid: 3 days a week in our Barcelona office, with Tuesdays and Wednesdays remote.
Holidays: 23 days a year, plus 24 and 31 December off.
Flexible compensation: Restaurant, transport and childcare cards and private health insurance, paid from your gross salary so you save on tax.
AI at work: Access to AI tools from day one, to use in your daily work.
International team: Colleagues from more than 10 nationalities, across the world.
Office: On Aribau, at the corner with Diagonal, with fresh fruit every day.
A video call with our People team, to get to know you, how you like to work and whether Shalion is the right fit for you.
A video call with your future manager, to talk about the role and the team in more detail.
An assignment, so you can show how you approach a problem close to the real work.
A final interview at our Barcelona office with your future manager and a colleague from the team.
Shalion is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for everyone.
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