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- Tasks: Join us as a Senior Data Scientist, analysing data to drive insights for our social media app.
- Company: Luupli is an innovative social media platform supporting diverse creators from marginalised communities.
- Benefits: Work remotely with equity options and potential for a paid role post-launch in spring 2024.
- Why this job: Be part of a mission-driven team shaping the future of social media for underrepresented voices.
- Qualifications: Bachelor's or master's in a relevant field; experience with AWS analytics and strong programming skills required.
- Other info: This is an unpaid role transitioning to full-time after our app launch.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
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:
- Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services.
- Strong proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight.
- Solid understanding of data modelling, ETL processes, and data warehousing concepts.
- Proficiency in statistical analysis, data mining, and machine learning techniques.
- Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling.
- Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages.
- Strong analytical, problem-solving, and critical thinking skills.
- Experience with social media analytics and understanding of user behaviour.
- Familiarity with big data technologies, such as Apache Hadoop, Apache Spark, or Apache Kafka.
- Knowledge of AWS machine learning services, such as Amazon SageMaker and Amazon Comprehend.
- Experience with data governance and security best practices in AWS.
- Excellent communication and collaboration skills to effectively work in a cross-functional team environment.
- Strong attention to detail and ability to deliver high-quality work within deadlines.
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.
Senior Data Scientist (Python) employer: Luupli
Contact Detail:
Luupli Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Python)
✨Tip Number 1
Familiarise yourself with AWS analytics services, especially Amazon Redshift and Amazon QuickSight. Being able to discuss specific projects or experiences where you've used these tools will show your expertise and make you stand out.
✨Tip Number 2
Highlight any experience you have with social media analytics. Understanding user behaviour in this context is crucial for the role, so be ready to share insights or case studies that demonstrate your knowledge.
✨Tip Number 3
Prepare to discuss your approach to data governance and security best practices in AWS. This is a key aspect of the role, and showing that you prioritise data integrity will impress the hiring team.
✨Tip Number 4
Network with professionals in the data science and social media fields. Engaging with communities on platforms like LinkedIn can provide valuable insights and connections that may help you during the application process.
We think you need these skills to ace Senior Data Scientist (Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with AWS analytics services. Emphasise your proficiency in Python and any experience with social media analytics to align with Luupli's mission.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your technical skills but also expresses your passion for supporting diverse creators. Mention how your background aligns with Luupli's goals and your excitement about the equity-only role.
Showcase Relevant Projects: Include specific examples of past projects where you used AWS analytics tools or machine learning techniques. Highlight any work related to social media or user behaviour analysis to demonstrate your fit for the role.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasise your experience in collaborative environments. Provide examples of how you've successfully worked with data engineers, product managers, or other stakeholders in previous roles.
How to prepare for a job interview at Luupli
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS analytics services during the interview. Be prepared to discuss specific projects where you've used tools like Amazon Redshift or Amazon QuickSight, and how they contributed to data-driven decision-making.
✨Demonstrate Your Data Science Skills
Prepare to talk about your proficiency in statistical analysis and machine learning techniques. Bring examples of how you've applied these skills in previous roles, especially in a cloud-based environment, to solve real-world problems.
✨Understand the Company’s Mission
Familiarise yourself with Luupli's mission to support diverse creators from marginalised communities. Be ready to discuss how your role as a Data Scientist can contribute to this goal and enhance user engagement on the platform.
✨Prepare for Collaboration Questions
Since the role involves working with cross-functional teams, think of examples that demonstrate your collaboration skills. Be ready to explain how you’ve successfully worked with data engineers, product managers, and other stakeholders to achieve common objectives.
