Europe / Lithuania / Vilnius County / Vilnius /
Data Science
#: 743999734779686 / 50242683
Mid-Senior Level
Full-Time
Job Description
WHAT YOU’LL DO:
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Implement, score, and maintain advanced statistical and mathematical models and customer segmentations.
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Produce accurate statistical analysis and ensure high quality of the data analysis produced.
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Interpret, document and present analytical results to multiple business disciplines, providing conclusions and recommendations based off customer-centric data.
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Take analytical objectives and define data requirements. Extract, clean, and transform customer and item-level data for purposes of analysis, modeling/segmentation and reporting.
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Participate in special projects and ad-hoc as required
WE’RE LOOKING FOR PEOPLE WHO HAVE:
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Bachelor/Master Degree in Math/Statistics, Computer Science, Economics, Industrial Engineering.
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Minimum of 1 – 2 years of directly related work in quantitative analysis with proven results in leveraging customer/transaction to address business objectives through a structured analysis – leading to insights and recommendations. Experience in retail and/or CPG is strongly preferred.
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Strong in statistical techniques and the willingness to learn and champion methodologies for customer analysis.
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High proficiency in SQL and Python/R/or similar statistical packages
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Ability to translate business objectives into analytical plan/framework, conducting the analysis and interpreting data to derive insights and interpret results to develop and communicate recommendations to internal teams – and then to clients.
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Ability to translate statistical and analytical results into clear written and verbal communication to internal/external stakeholders.
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Excellent ability to be part of multiple projects/initiatives while simultaneously meeting deadlines in a diverse environment
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Strong team player and ability to work in a collaborative environment
We offer:
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Salary: EUR 2250 gross/monthly
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Health Insurance
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Qualifications
https://jobs.smartrecruiters.com/TheNielsenCompany/743999734779686-data-scientist