Life Enterprises, Inc. ยท 2 days ago
Data Scientist - Social Network Applications
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Technology Information and Internet
Insider Connection @Life Enterprises, Inc.
Responsibilities
Develop and implement machine learning models for ranking and recommendation engines
Conduct social network analysis to understand user behavior and network dynamics
Perform sentiment analysis on user entered text to gauge user engagement and satisfaction
Utilize Python for data manipulation, analysis, and modeling
Implement and manage Graph Databases for social network graph analysis
Collaborate with cross-functional teams to integrate data-driven insights into product development
Leverage Google Cloud Platform for scalable data processing and model deployment
Qualification
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Required
Proven experience as a Data Scientist, preferably in social network or similar applications
Expertise in Python for data science and machine learning applications
Strong statistics background
Strong experience with Google Cloud Platform (GCP) for data processing and model deployment
Proficiency in social network analysis and graph theory
Strong analytical skills with the ability to interpret complex data sets and generate actionable insights
Experience with sentiment analysis and natural language processing (NLP)
Ability to design and implement ranking and recommendation algorithms
Excellent problem-solving skills and attention to detail
Strong communication and collaboration skills
Preferred
Google cloud, Databricks, snowflake or other related cloud development experience
Familiarity with Graph Databases (e.g., Neo4j)
Experience with R for statistical analysis and data visualization
Knowledge of big data technologies and frameworks
Design and build data pipelines to process and analyze large-scale social network data
Familiarity with real-time data processing and stream analytics
Experience with user behavior modeling and predictive analytics
Company
Life Enterprises, Inc.
Life Enterprises is the future of digital connection, seamlessly blending social interaction, local engagement, global knowledge while fostering meaningful collaborations for a more interconnected online world with real life impact.