Senior Data Scientist: Media Measurement & ML Leader

Cint

Stockholms kommun

On-site

GBP 90,000 - 140,000

Full time

6 days ago
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Job summary

Cint in the United Kingdom is seeking a Senior Data Scientist to sit at the intersection of product, engineering, and analytics. You will architect the statistical methodologies and ML codebases powering our Media Measurement products, translating raw data into strategic insights for the ResTech industry.

You will extract insights from massive datasets, partner with engineering and product teams on model deployment, and translate complex outputs into clear visualizations for diverse audiences.

Qualifications

  • Master's degree or equivalent in a quantitative field.
  • 5 years of data science experience.
  • Ability to manipulate large data sources independently.
  • Strong knowledge of advanced statistical techniques and ML methods.
  • Proficiency in Python for statistical analysis and ML model implementation.

Responsibilities

  • Lead research, Discovery, and development phases for new and existing ML models for media measurement.
  • Analyze massive datasets to derive insights shaping product roadmap.
  • Collaborate with engineering and product teams on model deployment and validation.
  • Translate statistical outputs into visualizations and presentations for diverse audiences.

Skills

Python
Statistical analysis
Data visualization
Big data analysis
Communication

Education

Master's degree in Statistics/Data Science or related field

Tools

Spark
SQL

Job description

Cint in the United Kingdom is seeking a Senior Data Scientist to sit at the intersection of product, engineering, and analytics. You will architect the statistical methodologies and ML codebases powering our Media Measurement products, translating raw data into strategic insights for the ResTech industry.

You will extract insights from massive datasets, partner with engineering and product teams on model deployment, and translate complex outputs into clear visualizations for diverse audiences.

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