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- Tasks: Join us as a Senior Data Scientist to analyse data and drive insights for our social media app.
- Company: Luupli is an innovative social media app focused on empowering diverse creators from marginalised communities.
- Benefits: Work remotely, gain equity in the startup, and transition to a paid role post-launch.
- 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 degree in a relevant field and experience with AWS analytics services required.
- Other info: This role offers a unique chance to influence a growing company while working flexible hours.
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.
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.
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 (Equity only) employer: Luupli
Contact Detail:
Luupli Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Equity only)
✨Tip Number 1
Familiarise yourself with AWS analytics services, especially Amazon Redshift and Amazon QuickSight. Being able to demonstrate your hands-on experience with these tools during discussions can set you apart from other candidates.
✨Tip Number 2
Showcase your understanding of social media analytics and user behaviour. Prepare examples of how data insights have influenced decisions in previous roles or projects, as this will resonate well with Luupli's mission.
✨Tip Number 3
Network with professionals in the data science and social media sectors. Engaging with communities on platforms like LinkedIn can help you gain insights into industry trends and potentially connect you with someone at Luupli.
✨Tip Number 4
Prepare to discuss your experience with data governance and security best practices in AWS. This is crucial for ensuring data integrity and compliance, which are key concerns for any startup handling user data.
We think you need these skills to ace Senior Data Scientist (Equity only)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with AWS analytics services. Emphasise any projects or roles where you've used tools like Amazon Redshift, Amazon Athena, or machine learning techniques.
Craft a Compelling Cover Letter: In your cover letter, express your passion for supporting diverse creators and how your skills can contribute to Luupli's mission. Mention specific experiences that align with the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on projects involving data analysis, predictive modelling, or social media analytics, include these in your application. Provide links to any portfolios or GitHub repositories that demonstrate your expertise.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasise your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve data-driven solutions.
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 Collaboration Skills
Since this role involves working with cross-functional teams, share examples of how you've successfully collaborated with data engineers, product managers, or business stakeholders in the past. Emphasise your communication skills and ability to understand diverse perspectives.
✨Prepare for Technical Questions
Expect technical questions related to data modelling, ETL processes, and machine learning techniques. Brush up on your knowledge of statistical analysis and be ready to explain your approach to solving complex data problems.
✨Understand the Company’s Mission
Familiarise yourself with Luupli's mission to support diverse creators from marginalised communities. Be prepared to discuss how your skills can contribute to this goal and why you are passionate about working in a social media environment.
