Data Scientist (ResTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (ResTech): Developing and validating statistical and machine learning models for media measurement and data solutions with an accent on large-scale data analysis and model accuracy. Focus on building robust methodologies, performing data manipulation, and communicating actionable insights to cross-functional teams.
Location: Must be based in the United Kingdom
Company
is a global pioneer in research technology (ResTech) that operates a programmatic marketplace connecting businesses with millions of respondents worldwide to gather consumer insights.
What you will do
- Contribute to the discovery and development phases for new and existing media measurement products.
- Participate in the full lifecycle of model development, validation, and maintenance.
- Analyze large datasets to identify trends and patterns while ensuring data quality.
- Respond to ad hoc client requests through data manipulation and summary reporting.
- Collaborate with cross-functional teams to deliver on project goals.
- Communicate complex insights through effective visualizations and presentations.
Requirements
- Master’s degree in Statistics, Data Science, or a related quantitative field.
- Must be based in the United Kingdom.
- 2+ years of experience in a data science or analytics capacity.
- Proficiency in Python for statistical analysis and machine learning implementation.
- Strong analytical skills with experience in model validation and statistical techniques.
- Ability to work independently while contributing to broader project goals.
Nice to have
- Experience in media measurement, digital attribution, or online survey methodologies.
- Ability to write and optimize SQL queries.
- Experience with big data technologies like Spark.
- Experience in multivariate testing.
Culture & Benefits
- Recognized as one of Newsweek’s 2025 Global Top 100 Most Loved Workplaces.
- Strong commitment to diversity, equity, and inclusion.
- Collaborative, innovation-driven environment with a focus on accountability and transparency.
- Global platform with opportunities to work across borders.
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