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Remote Data Scientist for Marketing Analytics & Experiments

Diverse Lynx

Remote

GBP 100,000 - 125,000

Full time

2 days ago
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Job summary

A consulting firm seeks a temporary Data Scientist to support their Business Marketing Group, focusing on MarTech and SMB marketing. This remote role requires strong SQL and Python/R skills to conduct exploratory data analysis and interpret results. Ideal candidates have an advanced degree and at least five years of statistical experience, capable of driving initiatives in a cross-functional environment. This is an opportunity to apply your analytical skills to make impactful business decisions.

Qualifications

  • Minimum seven years of experience in analytics.
  • At least four years of hands-on SQL expertise.
  • Experience in building attribution models or conducting A/B tests.

Responsibilities

  • Partner with Scaled Business Marketing team to achieve revenue goals.
  • Gather requirements for new analysis and models.
  • Conduct exploratory data analysis to understand impact drivers.
  • Manage requests and priorities independently.
  • Communicate findings to stakeholders.
  • Document queries for future data infrastructure improvements.
  • Understand data policy restrictions and guide analysis.

Skills

Strong SQL
Scripting skills (Python/R)
Problem-solving abilities
Communication of complex data issues
Attention to detail

Education

BA/BS in Engineering, Statistics, Math, Business or related field
Advanced degree (MBA or graduate degree in quantitative field)

Tools

SQL
Job description
A consulting firm seeks a temporary Data Scientist to support their Business Marketing Group, focusing on MarTech and SMB marketing. This remote role requires strong SQL and Python/R skills to conduct exploratory data analysis and interpret results. Ideal candidates have an advanced degree and at least five years of statistical experience, capable of driving initiatives in a cross-functional environment. This is an opportunity to apply your analytical skills to make impactful business decisions.
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