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Lead Data Scientist (Equity Only) - 1%

JR United Kingdom

Cambridge

On-site

GBP 60,000 - 90,000

Full time

3 days ago
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Job summary

A leading company in social media innovation seeks a Lead Data Scientist to drive data-driven solutions and analytics strategies. This equity-only role demands expertise in AWS tools and offers an opportunity to directly influence the growth of an emerging platform supporting diverse creators.

Qualifications

  • Proven experience as a Data Scientist with AWS analytics services.
  • Understanding of data modeling, ETL, and data warehousing.
  • Strong analytical and problem-solving skills.

Responsibilities

  • Collaborate with teams to understand objectives, data needs, and analytics goals.
  • Develop data analysis strategies using AWS services like Redshift and Athena.
  • Apply statistical and machine learning techniques for predictive analysis.

Skills

AWS tools
Statistical analysis
Machine learning
Python
R
Data visualization
Data governance
Problem-solving

Education

Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related fields

Tools

Redshift
Athena
EMR
QuickSight
Hadoop
Spark
Kafka

Job description

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Lead Data Scientist (Equity Only) - 1%, Cambridge

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Job Views:

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Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

Lead Data Scientist - Equity-Only Role 1%

About Luupli

Luupli is a social media app 'in development' that aims to provide opportunities for diverse creators from marginalized communities. It will highlight their work and offer access to opportunities in the social media space.

Job Description:

As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data and extract insights. You will collaborate with data engineers, product managers, and stakeholders to develop data-driven solutions and strategies to drive growth.

Responsibilities:

  • Collaborate with teams to understand objectives, data needs, and analytics goals.
  • Develop data analysis strategies using AWS services like Redshift, Athena, EMR, and QuickSight.
  • Design data pipelines and ETL processes for data extraction, transformation, and loading.
  • Apply statistical and machine learning techniques for predictive analysis, clustering, segmentation, and pattern recognition.
  • Identify key metrics, develop KPIs, and create dashboards using QuickSight for decision-making.
  • Perform exploratory data analysis to uncover trends and insights for product and user engagement improvements.
  • Work with data engineers to optimize data architecture, quality, and governance on AWS.

Requirements:

  • Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related fields.
  • Proven experience as a Data Scientist, especially with AWS analytics services.
  • Strong proficiency in AWS tools: Redshift, Athena, EMR, QuickSight.
  • Understanding of data modeling, ETL, and data warehousing.
  • Skills in statistical analysis, data mining, machine learning.
  • Programming skills in Python, R, or Scala.
  • Experience with SQL, NoSQL, data visualization, and statistical packages.
  • Strong analytical and problem-solving skills.
  • Experience with social media analytics and user behavior analysis.
  • Knowledge of big data technologies like Hadoop, Spark, Kafka.
  • Familiarity with AWS machine learning services like SageMaker and Comprehend.
  • Understanding of data governance and security in AWS.
  • Excellent communication and teamwork skills.
  • Attention to detail and ability to meet deadlines.

Compensation:

This position offers equity only — 1% stake in a rapidly growing company, with the opportunity to contribute directly to its success.

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