Lead Data Scientist (Equity Only) - 1%

JR United Kingdom; York; On-site; GBP 50,000 - 90,000; Full time

Job summary

A leading company is seeking a Lead Data Scientist to leverage AWS analytics for data insights. This equity-only position allows you to play a crucial role in shaping the data strategy to drive growth. You will work alongside data engineers and product managers, using your advanced skills in statistical analysis and machine learning to enhance user engagement and product development.

Qualifications

• Experience as a Data Scientist, preferably with AWS analytics services.
• Strong analytical and problem-solving skills.
• Proficiency in AWS tools like Redshift, Athena, and QuickSight.

Responsibilities

• Analyze data and extract insights using AWS analytics services.
• Develop analytics strategies and design data pipelines.
• Collaborate with teams to identify objectives and metrics.

Skills

Statistical analysis

Machine learning

Data mining

Programming in Python

Data visualization

Analytical skills

Problem solving

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

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 data engineers, product managers, and stakeholders to develop data-driven solutions and shape our data strategy to drive growth.

Responsibilities:

1. Work with teams to understand objectives, data needs, and analytics goals.
2. Develop analytics strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight.
3. Design data pipelines and ETL processes for data extraction, transformation, and loading.
4. Apply statistical and machine learning techniques for predictive and segmentation analyses.
5. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight.
6. Perform exploratory data analysis to find trends and insights for product and engagement improvements.
7. Collaborate 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 concepts.
• 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.
• Familiarity with big data technologies like Hadoop, Spark, Kafka.
• Knowledge of AWS ML 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 the company, providing an opportunity to contribute to and benefit from rapid growth.