Principal Data Scientist @ Life Enterprises, Inc. | Jobright.ai
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Life Enterprises, Inc. ยท 3 hours ago

Principal Data Scientist

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Technology Information and Internet

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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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMachine LearningPythonGoogle Cloud PlatformSocial Network AnalysisGraph TheorySentiment AnalysisNatural Language ProcessingRanking AlgorithmsRecommendation AlgorithmsRGraph DatabasesBig Data TechnologiesData PipelinesReal-Time Data ProcessingUser Behavior ModelingPredictive AnalyticsCollaboration Skills

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.

Benefits

Equity package

Company

Life Enterprises, Inc.

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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.

Funding

Current Stage
Early Stage

Leadership Team

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Julien G. Belmont
Co-Founder
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Company data provided by crunchbase
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Orion

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