Lead Data Scientist (Equity Only) - 1%

JR United Kingdom; Stoke-on-Trent; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading company is seeking a Lead Data Scientist for an equity-only role located in Stoke-on-Trent. You will leverage AWS services to drive data analysis and insights, contributing significantly to business growth. This unique opportunity offers a 1% equity stake in a dynamic social media startup focused on empowering diverse creators.

Qualifications

• Experience as a Data Scientist, especially with AWS analytics services.
• Proficiency in Python, R, or Scala.
• Strong analytical and problem-solving skills.

Responsibilities

• Collaborate with teams to define analytics goals.
• Develop data analysis strategies using AWS services.
• Design data pipelines and ETL processes.

Skills

Data analysis

AWS analytics services

Statistical analysis

Machine learning

Python

SQL

Data visualization

Data modeling

Problem-solving

Communication

Education

Bachelor's or master's degree in a relevant field

Tools

AWS (Redshift, Athena, EMR, QuickSight)

Hadoop

Spark

Kafka

Job description

Lead Data Scientist (Equity Only) - Stoke-on-Trent

Job Details

Client: Luupli

Location: Stoke-on-Trent, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

4

Posted:

16.06.2025

Expiry Date:

31.07.2025

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, highlighting their work and offering access to social media opportunities.

Role Overview:

As a Lead Data Scientist at Luupli, you will leverage AWS analytics services to analyze data, collaborate with cross-functional teams, and develop data-driven solutions to support business growth.

Responsibilities:

• Collaborate with teams to understand objectives and define analytics goals.
• Develop data analysis strategies using AWS services like Amazon 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 and pattern analysis.
• Create dashboards and visualizations for decision-making using Amazon QuickSight.
• Conduct exploratory data analysis to uncover insights for product and engagement improvements.
• Work with data engineers on data architecture, quality, and governance in AWS.

Requirements:

• Bachelor's or master's degree in a relevant field.
• Experience as a Data Scientist, especially with AWS analytics services.
• Proficiency in AWS services such as Redshift, Athena, EMR, and QuickSight.
• Understanding of data modeling, ETL, and data warehousing.
• Skills in statistical analysis, data mining, and machine learning.
• Programming skills in Python, R, or Scala.
• Experience with SQL, NoSQL, and data visualization tools.
• 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 such as SageMaker and Comprehend.
• Understanding of data governance and security in AWS.
• Excellent communication and teamwork skills.
• Attention to detail and quality delivery.

Compensation:

This is an equity-only position offering a 1% stake, providing a unique opportunity to contribute to a growing company.