Senior Data Scientist
Senior Data Scientist
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Job Description
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 learningbased methodologies. The ideal candidate will have a strong ability to independently research develop and maintain products that align Cints 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 crossfunctional teams to design implement and test new and existing products by developing and maintaining statistical and machine learning methods. Lead the fullcycle 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 Cints continued success.
- Communicate insights and recommendations effectively through visualizations and presentations that resonate with diverse audiences.
Qualifications :
Required:
- Must have a minimum 35 years of working experience in a Data Science capacity.
- A Masters degree (or equivalent) in Statistics Quantitative Sciences Data Science Operations Research or other quantitative fields.
- Ability to manipulate analyze and interpret large datasets independently.
- Deep understanding of advanced statistical techniques and concepts (e.g. properties of distributions hypothesis testing parametric/nonparametric tests survey design sampling theory experimental design including multivariate testing regression/predictive modeling causal inference and A/B testing).
- Strong knowledge of various machine learning techniques (clustering regression decision trees etc. and their realworld 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 largescale databases.
Additional Information :
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
- Were pioneers in our industry
- Our curiosity is insatiable
- We bring the best ideas to life.
We do what we say
- Were accountable for our work and actions
- Excellence comes as standard
- Were open honest and kind always.
We are caring
- We learn from each others experiences
- Stop and listen; every opinion matters
- We embrace diversity equity and inclusion.
More About Cint
In June 2021 Cint acquired Berlinbased GapFish the worlds largest ISO certified online panel community in the DACH region and in January 2022 completed the acquisition of USbased Lucid a programmatic research technology platform that provides access to firstparty 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)
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
