Senior Data Scientist (Equity Only - 1%) Senior Data Scientist (Social Media App) - Equity-Only role 1% About Luupli Luupli is a social media app 'in development' that aims to provide opportunities for diverse creators from marginalized communities. Luupli will highlight the work of these creators and provide access to opportunities in the social media space. Job Description: As a Data Scientist at Luupli, you will leverage AWS analytics services to analyze data and extract insights. You will collaborate with cross-functional teams to develop data-driven solutions and provide actionable recommendations. Your expertise in AWS analytics tools will be crucial in shaping our data strategy and driving growth. Responsibilities: Collaborate with teams to understand business goals, identify data needs, and set analytics objectives. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine learning techniques for predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop KPIs, and create dashboards and visualizations with Amazon QuickSight. Perform exploratory data analysis to uncover trends and insights for product and user engagement improvements. Work 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. Proven experience as a Data Scientist, especially in cloud environments using AWS. Strong skills in AWS analytics services: Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, data warehousing. Proficiency in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL databases, visualization tools, and statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior understanding. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS ML services such as 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 role, offering a 1% stake in a rapidly growing company, with the opportunity to contribute directly to its success. Seniority level Mid-Senior level Employment type Part-time Job function Science, Engineering, and Information Technology Industries Social Networking Platforms #J-18808-Ljbffr Luupli
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