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- Tasks: Lead data analysis using AWS tools to drive insights and recommendations.
- Company: Join Luupli, a social media app empowering diverse creators from marginalised communities.
- Benefits: Equity-only compensation offers a stake in a growing company with impactful work.
- Why this job: Be part of a mission-driven team shaping the future of social media for diverse voices.
- Qualifications: Bachelor's or master's in a relevant field; experience with AWS analytics and data science required.
- Other info: This role is perfect for those passionate about data and social impact.
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.
As a Lead 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.
Lead Data Scientist (Equity Only) - 1% employer: Luupli
Contact Detail:
Luupli Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist (Equity Only) - 1%
✨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 ability to collaborate with cross-functional teams. Prepare examples of past projects where you worked closely with data engineers or product managers, as this role heavily relies on teamwork.
✨Tip Number 3
Highlight your experience with social media analytics and user behaviour insights. Understanding the nuances of how users interact with social media platforms will be crucial for this position.
✨Tip Number 4
Prepare to discuss your approach to data governance and security best practices in AWS. This knowledge is essential for ensuring data integrity and compliance in a cloud-based environment.
We think you need these skills to ace Lead Data Scientist (Equity Only) - 1%
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 skills in programming languages like Python or R, and any experience you have with social media analytics.
Craft a Compelling Cover Letter: In your cover letter, express your passion for supporting diverse creators and how your expertise can contribute to Luupli's mission. Mention specific projects where you've successfully used AWS tools to drive insights and business growth.
Showcase Relevant Projects: If you have worked on projects involving data analysis, machine learning, or cloud-based solutions, include these in your application. Provide brief descriptions of the challenges faced, your approach, and the outcomes achieved.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, emphasise your experience in collaborative environments. Share examples of how you've effectively communicated complex data insights to non-technical stakeholders.
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, Amazon Athena, or Amazon QuickSight, and how they contributed to data-driven decision-making.
✨Demonstrate Collaboration Skills
Since the 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 align data strategies with business objectives.
✨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 using programming languages like Python or R.
✨Understand the Company’s Mission
Familiarise yourself with Luupli's mission to support diverse creators from marginalised communities. Be prepared to discuss how your data insights can help enhance user engagement and contribute to the company's goals, showing that you are aligned with their vision.
