Lead Data Scientist (Equity Only) - 1%

JR United Kingdom; Chesterfield; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading startup is seeking a Lead Data Scientist to drive data strategy and insights using AWS analytics tools. This role involves developing analysis strategies, collaborating with cross-functional teams, and contributing to business growth through data-driven solutions. As an equity-only position, it offers a unique chance to impact a rapidly evolving platform aimed at empowering diverse creators.

Benefits

1% equity in the company

Qualifications

• Degree in relevant field.
• Experience with AWS analytics services and data science.
• Programming proficiency in Python, R, or Scala.

Responsibilities

• Leverage AWS analytics services for data analysis.
• Develop data analysis strategies and data pipelines.
• Apply statistical and machine learning techniques.

Skills

Statistical analysis

Machine learning

Data mining

Analytical skills

Problem-solving

Communication

Team collaboration

Education

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

Tools

AWS Redshift

AWS Athena

AWS EMR

AWS QuickSight

Hadoop

Spark

Kafka

SQL

Python

R

Scala

Job description

Lead Data Scientist (Equity Only) - 1%

About Luupli

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

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 cross-functional teams to develop data-driven solutions and shape our data strategy to support business growth.

Responsibilities:

• Work with teams to understand objectives, data needs, and analytics goals.
• Develop data analysis strategies using AWS tools like Amazon Redshift, Athena, EMR, and QuickSight.
• Design data pipelines and ETL processes for data ingestion and transformation.
• Apply statistical and machine learning techniques for predictive and segmentation analyses.
• Create dashboards and KPIs with Amazon QuickSight for decision-making.
• Perform exploratory data analysis to identify trends and insights.
• Collaborate on data architecture, quality, and governance improvements.

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 warehousing concepts.
5. Skills in statistical analysis, data mining, and machine learning.
6. Programming skills in Python, R, or Scala.
7. Experience with SQL, NoSQL, 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 in AWS.
13. Excellent communication skills and team collaboration.
14. Attention to detail and quality delivery within deadlines.

Compensation:

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