Data Scientist na Cint

Remoto - Barcelona, Spain

Data Scientist at Cint will work alongside Data Science and Analytics teams and collaborate with product and engineering teams on Identity and Data Solutions products. Responsibilities include supporting research and discovery for new and existing products/models, actively developing and enhancing the Identity Graph, driving onboarding and validation of new data vendors, analyzing large datasets to identify trends, responding to ad hoc requests, collaborating with cross-functional teams, developing methodologies, model validation, and communicating insights through visualizations and presentations. The role requires a Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields, at least 2 years of experience in a data science and analytics capacity (preferably in market research or advertising analytics), proficiency in Python, ability to manipulate and analyze large data, familiarity with core statistical concepts, exposure to machine learning methods, strong analytical skills, and experience with SQL and big data technologies such as Spark.

Requirements

Education

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

Experience

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

Skills

Manipulate, analyze, and interpret large data sources
Familiarity with core statistical concepts and techniques
Exposure to machine learning methods
Practical experience applying statistical and modeling techniques
Strong analytical skills
Learning new methods
Proficiency in Python
Ability to write and optimize SQL queries
Experience with big data technologies

Responsibilities

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.

Technologies

PythonSQLSpark

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