Data Scientist

Cint; Barcelona; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading research technology firm in Barcelona seeks a Data Scientist to work with large datasets and collaborate on Identity and Data Solutions products. The ideal candidate will have a Master’s degree, proficiency in Python, and experience in data science. Join a team focused on innovation and collaboration to support market-leading products.

Servicios

Flexible working hours

Professional development opportunities

Inclusive company culture

Formación

• 2 years of experience in data science and analytics, preferably in market research.
• Strong analytical skills focused on data validation and accuracy.
• Ability to manipulate, analyze, and interpret large data sources independently.

Responsabilidades

• Support research and discovery for Identity and Data Solutions.
• Participate in the development of Identity Graph using statistical methods.
• Drive onboarding of data vendors and perform comprehensive analysis.

Conocimientos

Statistical analysis

Machine learning techniques

Data analysis

SQL queries

Python

Educación

Master’s degree in Statistics or related field

Herramientas

Spark

Descripción del empleo

Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.

We are feeding the world’s curiosity!

Job Description

The Opportunity

As a Data Scientist at Cint you will have the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market.

What ou will do

Support research and discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions.

Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy.

Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new data partners meet our quality standards.

Analyze large datasets to identify trends, patterns, and insights, with an emphasis on data quality and reliability.

Respond to ad hoc requests from internal teams and clients, performing analyses and producing summary results.

Collaborate with cross-functional teams to deliver on broader project goals.

Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models.

Support evaluation and validation of both internal and external products to ensure Cint’s success.

Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.

Qualifications

What we are looking for

Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.

2 years of experience in a data science and analytics capacity, preferably in market research, or advertising analytics.

Ability to manipulate, analyze, and interpret large data sources independently.

Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more).

Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and their real-world advantages/drawbacks.

Practical experience applying statistical and modeling techniques.

Strong analytical skills with a focus on data validation and accuracy.

Comfortable with learning new methods, tools, and techniques.

Able to complete assigned tasks independently while collaborating on overall project direction and broader project goals

Proficiency in Python (as it relates to statistical analysis and implementing Machine Learning models)

Bonus points if you have

Experience with Identity vendors

Experience in online survey methodologies

Experience in Identity graph methodologies

Ability to write and optimize SQL queries

Experience working with big data technologies (e.g. Spark)

Additional Information

#LI-JC1

Our Values

Collaboration is our superpower

• We uncover rich perspectives across the world
• Success happens together

Innovation is in our blood

• We’re pioneers in our industry
• Our curiosity is insatiable
• We bring the best ideas to life.

We do what we say

• We’re accountable for our work and actions
• Excellence comes as standard
• We’re open, honest and kind, always.

We are caring

• We learn from each other’s experiences
• Stop and listen; every opinion matters
• We embrace diversity, equity and inclusion.

More About Cint

We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces, reflecting our commitment to a culture of trust, respect, and employee growth.

In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.

Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)