Job description

As a Senior Data Scientist , you will sit at the intersection of product, engineering, and advanced analytics. You will architect the statistical methodologies and machine learning codebases that power our Media Measurement products, directly translating raw global data into strategic insights that drive the ResTech industry forward. What You Will Deliver: • Lead the research, discovery, and end to end development phases for new and existing machine learning models relating to media measurement. • Extract, manipulate, and analyze massive datasets to uncover insights that shape and direct our product roadmap. • Partner closely with engineering and product teams to align on the technical design, deployment, and ongoing validation of scalable machine learning models. • Transform complex statistical outputs into compelling visualizations and presentations that resonate with diverse business and technical audiences. Key Responsibilities: • Lead research, discovery, and development phases for new and existing statistical models relating to media measurement. • Plan, develop, and maintain data science projects end to end with minimal supervision. • Analyze large, complex datasets to extract insights that inform product strategy. • Collaborate with cross-functional engineering and product teams on model design and implementation. • Develop, validate, and maintain statistical and machine learning models. • Conduct ongoing evaluation and validation of internal and external product methodologies. • Communicate findings and statistical recommendations through clear visualizations and presentations for technical and non-technical stakeholders. • Master degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or another quantitative field. • 5 years of experience in a data science capacity, preferably in market research or advertising analytics. • Ability to manipulate, analyze, and interpret large data sources independently. • Deep understanding of advanced statistical techniques and concepts, including: • Properties of Distributions • Hypothesis Testing • Parametric and Non-Parametric Tests • Survey Design • Sampling Theory • Experimental Design, Regression or Predictive Modeling • Stochastic Modeling or Simulation. • Strong knowledge of machine learning techniques, such as: • Clustering • Regression and their real-world trade-offs • Tree-based models and their real-world trade-offs • Working knowledge in the application of statistical and modeling techniques. • Strong analytical skills with a focus on data validation and accuracy. • Ability to independently research and learn new methods, tools, and techniques. • Self-starter capable of carrying out projects end to end with minimal supervision. • Proficiency in Python for statistical analysis and machine learning model implementation. Nice to Have: • Experience in media measurement and digital attribution. • Experience with multivariate testing. • Experience with predictive modeling. • Experience modeling and quantifying outcomes by linking attitudinal survey data to behavioral purchase data. • Experience in online survey methodologies. • Ability to write and optimize SQL queries. • Experience working with big data technologies, such as Spark. Budget details for US: $115K-$165K USD Year Additional information #LI-Remote #LI-JM1 Our Values Collaboration is our superpower • We uncover rich perspectives across the world • Success happens together • We deliver across borders. 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) Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide .

Requirements

Must-haves

As a Senior Data Scientist , you will sit at the intersection of product, engineering, and advanced analytics.
Lead the research, discovery, and end to end development phases for new and existing machine learning models relating to media measurement.
Extract, manipulate, and analyze massive datasets to uncover insights that shape and direct our product roadmap.
Partner closely with engineering and product teams to align on the technical design, deployment, and ongoing validation of scalable machine learning models.
Transform complex statistical outputs into compelling visualizations and presentations that resonate with diverse business and technical audiences.
Lead research, discovery, and development phases for new and existing statistical models relating to media measurement.
Plan, develop, and maintain data science projects end to end with minimal supervision.
Analyze large, complex datasets to extract insights that inform product strategy.
Collaborate with cross-functional engineering and product teams on model design and implementation.
Develop, validate, and maintain statistical and machine learning models.
Conduct ongoing evaluation and validation of internal and external product methodologies.
Communicate findings and statistical recommendations through clear visualizations and presentations for technical and non-technical stakeholders.
Master degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or another quantitative field.
5 years of experience in a data science capacity, preferably in market research or advertising analytics.
Ability to manipulate, analyze, and interpret large data sources independently.
Deep understanding of advanced statistical techniques and concepts, including:
Properties of Distributions

Nice-to-haves

Experience in media measurement and digital attribution.
Experience with multivariate testing.
Experience with predictive modeling.
Experience modeling and quantifying outcomes by linking attitudinal survey data to behavioral purchase data.
Experience in online survey methodologies.
Ability to write and optimize SQL queries.
Experience working with big data technologies, such as Spark.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonsqlai

Platform: smartrecruiters
Effort: medium

Benefits

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