Lead Data Scientist (Equity Only) - 1%

JR United Kingdom; Kingston upon Hull; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading company in app development is seeking a Lead Data Scientist to join their team in Kingston upon Hull. This equity-only role offers a 1% stake in a rapidly growing company. The successful candidate will be responsible for building data pipelines, applying machine learning techniques, and collaborating with teams to drive analysis and insights. Strong AWS experience is essential, along with a solid understanding of data governance and statistical practices.

Qualifications

• Proven experience as a Data Scientist with AWS analytics services.
• Strong understanding of data modeling, ETL, and data warehousing.
• Experience with social media analytics is a plus.

Responsibilities

• Collaborate with teams to understand objectives and data requirements.
• Develop data analysis strategies using AWS services.
• Design and build data pipelines and ETL processes.

Skills

Data Analysis

Statistical Analysis

Machine Learning

Problem Solving

Communication

Analytical Skills

Education

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics

Tools

AWS Redshift

AWS Athena

AWS EMR

AWS QuickSight

Python

R

Scala

SQL

NoSQL databases

Hadoop

Spark

Kafka

SageMaker

Comprehend

Job description

Lead Data Scientist (Equity Only) - 1%

Location:

Kingston upon Hull, East Yorkshire, 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 currently in development, aiming to provide opportunities for diverse creators from marginalized communities. The platform will highlight their work and offer access to social media opportunities.

Responsibilities:

1. Collaborate with cross-functional teams to understand objectives, data requirements, and analytics goals.
2. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight.
3. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS.
4. Apply statistical and machine learning techniques for predictive and segmentation analyses.
5. Identify key metrics, develop KPIs, and create dashboards using Amazon QuickSight.
6. Perform exploratory data analysis to uncover trends and insights for product and engagement improvements.
7. 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 fields.
2. Proven experience as a Data Scientist, especially with AWS analytics services.
3. Strong skills in AWS services such as Redshift, Athena, EMR, and QuickSight.
4. Understanding of data modeling, ETL, and data warehousing concepts.
5. Experience with statistical analysis, data mining, and machine learning.
6. Proficiency in Python, R, or Scala for data analysis.
7. Experience with SQL and NoSQL databases, visualization tools, and statistical packages.
8. Strong analytical and problem-solving skills.
9. Experience with social media analytics and user behavior analysis.
10. Knowledge of big data technologies like Hadoop, Spark, Kafka.
11. Familiarity with AWS machine learning services like SageMaker and Comprehend.
12. Understanding of data governance and security best practices in AWS.
13. Excellent communication and collaboration skills.
14. Attention to detail and ability to meet 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.