Associate Data Scientist
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About the job
As a member of the Data Science team at Gartner, your role will involve innovating ways to help clients receive value and enable technology leaders to make smarter decisions. You will work on delivering valuable insights from unstructured data, utilizing statistical and machine learning based methods to enhance client engagement and retention. Key Responsibilities: - Drive retention and growth by supporting service delivery groups and sales in key initiatives - Derive key insights using unsupervised machine learning on unstructured data from various sources - Build statistical models to predict client retention probabilities and assist Service Delivery in leveraging data insights - Prioritize client interactions and recommend Gartner assets to convert unengaged clients to engaged ones - Analyze surveys to identify correlations with client engagement and derive actionable insights - Extract key client priorities through text analytics Qualifications Required: - Bachelors or Masters degree in Physics, Math, Technology, Computer Science, or related fields - 2-4 years of experience in Data Science using Machine Learning and NLP techniques - Proficiency in R or Python for coding models - Strong knowledge of statistical and advanced modeling techniques - Ability to work on projects involving ML and statistical techniques with large volumes of data As part of Gartner, you can expect: - Competitive salary, generous paid time off, Group Medical Insurance, Parental Leave, and more - Collaborative and diverse team-oriented culture - Professional development opportunities and unlimited growth potential.
Requirements
- machine learning
- NLP
- Python
- statistical modeling
Qualifications
- Bachelors or Masters degree in related fields
- 2-4 years of experience
Preferred Technologies
- machine learning
- NLP
- Python
- statistical modeling
Benefits
- competitive salary
- paid time off
- medical insurance
- parental leave
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About the company
Gartner, Inc. is a global organization that provides actionable insights to drive smarter decisions and stronger performance for client enterprises worldwide.
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