Lead Data Scientist (Equity Only) - 1%

JR United Kingdom; Watford; On-site; GBP 40,000 - 90,000; Full time

Job summary

Join a leading company in developing a unique social media app, as a Lead Data Scientist. You will utilize AWS analytics to drive data strategies, develop insights, and collaborate cross-functionally to enhance user engagement. This equity-only position allows for significant contribution and potential in a growing business focused on diverse creator communities.

Qualifications

• Experience as a Data Scientist, preferably with AWS analytics services.
• Skills in statistical analysis, data mining, and machine learning.
• Excellent communication and teamwork skills, attention to detail.

Responsibilities

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

Skills

Statistical analysis

Data mining

Machine learning

Programming in Python

SQL

NoSQL

Data visualization

Problem-solving

Communication

Data governance

Education

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

Tools

AWS Redshift

AWS Athena

AWS EMR

AWS QuickSight

Hadoop

Spark

Kafka

AWS SageMaker

AWS Comprehend

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

Responsibilities:

• Collaborate with teams to understand objectives, data needs, 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 inform product and user engagement strategies.
• Work with data engineers to optimize data architecture, quality, and governance in AWS.

Requirements:

• Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field.
• Experience as a Data Scientist, preferably with AWS analytics services.
• Proficiency in AWS tools like 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, 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 such as 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 is an equity-only position, offering a 1% stake in a rapidly growing company, with the opportunity to contribute directly to its success.