Lead Data Scientist (Equity Only) - 1%

JR United Kingdom; Swindon; On-site; GBP 60,000 - 100,000; Full time

Job summary

A rapidly growing company seeks a Lead Data Scientist for an equity-only role in Swindon. You will work on developing data strategies and analytics for a new social media app aimed at empowering diverse creators. This position offers a 1% equity stake, allowing you to contribute significantly to the company’s success.

Qualifications

• Experience as a Data Scientist, with AWS analytics services.
• Skills in statistical analysis, data mining, and machine learning.
• Proficiency in programming, particularly Python, R, or Scala.

Responsibilities

• Collaborate with cross-functional teams to define analytics goals.
• Design and implement data pipelines and ETL processes.
• Conduct exploratory data analysis and develop key performance indicators.

Skills

Data analysis

Statistical analysis

Machine learning

Data mining

Programming in Python

SQL

NoSQL

Data visualization

Analytical skills

Problem-solving

Education

Bachelor's or master's degree in Computer Science

Tools

AWS services (Redshift, Athena, EMR, QuickSight)

Hadoop

Spark

Kafka

AWS ML services (SageMaker, Comprehend)

Job description

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Lead Data Scientist (Equity Only) - 1%, Swindon, Wiltshire

Client:

Location: Swindon, Wiltshire, 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

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 provide access to opportunities in the social media space.

Responsibilities:

• Collaborate with cross-functional teams to understand business objectives, data requirements, and analytics goals.
• Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight.
• Design and build data pipelines and ETL processes from various sources into AWS.
• Apply statistical and machine learning techniques for predictive and pattern analysis.
• Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight.
• Perform exploratory data analysis to uncover trends and insights for product and engagement improvements.
• Work with data engineers to optimize data architecture, quality, and governance in AWS.

Requirements:

1. Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field.
2. Experience as a Data Scientist, especially with AWS analytics services.
3. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight.
4. Understanding of data modeling, ETL, and data warehousing.
5. Skills in statistical analysis, data mining, and machine learning.
6. Programming skills in Python, R, or Scala.
7. Experience with SQL, NoSQL, data visualization, and statistical packages.
8. Strong analytical and problem-solving skills.
9. Experience with social media analytics and user behavior.
10. Familiarity with big data technologies like Hadoop, Spark, Kafka.
11. Knowledge of AWS ML services like SageMaker and Comprehend.
12. Understanding of data governance and security in AWS.
13. Excellent communication and teamwork skills.
14. Attention to detail and quality within deadlines.

Compensation:

This is an equity-only position, offering a 1% stake in a rapidly growing company, with the opportunity to contribute directly to its success.