As a Senior Data Scientist at Cint you will have the opportunity to collaborate closely with product and engineering teams to work on key Identity and Trust & Safety products and initiatives. This role involves data mining and analytics, product and data validation, and the development of statistical and machine learning-based methodologies. The ideal candidate will have a strong ability to independently research, develop, and maintain products that align Cint’s capabilities with market needs.
Responsibilities
- Lead the research, discovery, and development phases for new and existing products, primarily focusing on Identity and Trust & Safety.
- Independently and confidently carry out project planning, development, and maintenance end to end with minimal supervision.
- Analyze large, diverse datasets to extract impactful insights that can guide product strategy.
- Collaborate with cross-functional teams to design, implement, and test new and existing products by developing and maintaining statistical and machine learning methods. Lead the full-cycle development of machine learning solutions, including model development, deployment, maintenance, and performance evaluation, ensuring seamless integration into production environments.
- Continuously evaluate and validate both internal and external products to ensure Cint's continued success.
- Communicate insights and recommendations effectively through visualizations and presentations that resonate with diverse audiences.
Required:
- Must have a minimum 3-5 years of working experience in a Data Science capacity.
- A Master's degree (or equivalent) in Statistics, Quantitative Sciences, Data Science, Operations Research, or other quantitative fields.
- Ability to manipulate, analyze, and interpret large datasets independently.
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Deep understanding of advanced statistical techniques and concepts (e.g., properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, including multivariate testing, regression/predictive modeling, causal inference, and A/B testing).
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Strong knowledge of various machine learning techniques (clustering, regression, decision trees, etc.) and their real-world advantages and drawbacks.
- Working knowledge of the application of statistical and modeling techniques.
- Comfortable with researching and learning new methods, tools, and techniques.
- Ability to independently and confidently manage projects from start to finish with minimal supervision.
- Proficiency in Python (for statistical and ML package tools).
- Proficiency in SQL and working with large-scale databases.
Nice to Have:
- Experience in Fraud Detection and Prevention methodologies.
- Experience working with Identity vendors.
- Knowledge of Identity graph methodologies.
- Experience with Databricks and using it for scalable data processing and machine learning workflows.
- Experience working with big data technologies (e.g. Spark, PySpark).
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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
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)
