Senior Data Scientist (Equity only)

Luupli; United Kingdom; Remote; GBP 50,000 - 70,000; Part time

Job summary

Luupli is seeking a Senior Data Scientist to assist in developing a social media app aimed at supporting diverse creators. In this equity-only role, you will leverage AWS analytics to provide data-driven insights, shaping the app's evolution before transitioning to a paid position post-launch.

Qualifications

• Experience as a Data Scientist in a cloud-based environment, specifically with AWS.
• Proficiency in programming languages like Python, R or Scala.
• Strong understanding of ETL processes and data governance.

Responsibilities

• Collaborate with teams to define analytics goals and requirements.
• Implement data analysis strategies using AWS analytics services.
• Design and build data pipelines for ETL processes.

Skills

Analytical Skills

Problem-Solving

Critical Thinking

Data Mining

Statistical Analysis

Education

Bachelor's or Master's degree in Computer Science

Degree in Statistics

Tools

AWS

Amazon Redshift

Amazon Athena

Amazon EMR

Amazon QuickSight

SQL

NoSQL

Apache Hadoop

Apache Spark

Apache Kafka

Job description

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Senior Data scientist (Social Media App) - Equity-Only role

0.25% – 0.5%

About Luupli

Luupli is a social media app 'in-development', which will provide opportunities for diverse creators coming from marginalized communities. Luupli will highlight the work of diverse creators and provide them access to all the opportunities in the social media space.

Work Arrangement

The commitment required from you is a few hours a week, working remotely, until our global launch next year. While this role is currently unpaid, you will be given a vested equity in our startup, together with a range of vested benefits. Once the app launches in the spring of 2024, this role will transition into a paid full-time role.

Job Description:

As a Data Scientist at Luupli, you will play a pivotal role in leveraging AWS analytics services to analyse and extract valuable insights from our data sources. You will collaborate with cross-functional teams, including data engineers, product managers, and business stakeholders, to develop data-driven solutions and deliver actionable recommendations. Your expertise in AWS analytics tools and techniques will be crucial in shaping our data strategy and driving business growth.

Responsibilities:

• Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals.
• Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight.
• Design and build robust data pipelines and ETL processes to extract, transform, and load data from diverse sources into AWS for analysis.
• Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition.
• Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making.
• Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and engagement strategies.
• Collaborate with data engineers to optimise data architecture, data quality, and data governance frameworks in AWS.

Requirements:

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

2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services.

3.Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight.

4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques.

6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling.

7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages.

Strong analytical, problem-solving, and critical thinking skills.

8.Experience with social media analytics and understanding of user behaviour.

9.Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka.

10.Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend.

11.Experience with data governance and security best practices in AWS.

12Excellent communication and collaboration skills to effectively work in a cross-functional team environment.

13.Strong attention to detail and ability to deliver high-quality work within deadlines.

Compensation

This is an equity-only position, offering a unique opportunity to gain a stake in a rapidly growing company and contribute directly to its success.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Part-time

Job function

• Industries

  Social Networking Platforms

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