Associate Data Scientist Job in Gartner
Job Title: Associate Data Scientist - Social Media Analytics
About this Role:
Join Gartner s Social Media Analytics team, where you will help generate actionable insights from social media and internal/external Gartner data. This role is perfect for someone passionate about learning new technologies, text analytics, and working with unstructured data. As an Associate Data Scientist, you'll analyze data, draw recommendations, and visualize insights for research, using NLP, Machine Learning, and Deep Learning techniques. You will work closely with stakeholders to optimize data mining and improve the accuracy of insights generated.
What You ll Do:
- Execute High-Impact Data Science Projects: Translate research objectives into actionable data and facts using social media and Gartner's internal/external data.
- Ad-hoc Modeling and Analytical Insights: Provide modeling and analytical insights to inform strategic and operational initiatives.
- Analyze Unstructured Data: Use advanced data science techniques to analyze unstructured text data, identifying insights and patterns.
- Interpret and Apply Findings: Align findings with business objectives and translate them into actionable business insights.
- Solve Business Challenges: Leverage Data Science, ML, and NLP to address pressing business challenges.
- Stakeholder Interaction: Collaborate with internal and external stakeholders to refine and improve findings.
- Data Science Driven Initiatives: Drive initiatives with some guidance while building strong domain expertise.
- Multi-tasking & Agility: Handle different projects in a fast-paced environment with strict SLAs and tight turnaround times.
What You ll Need:
Education:
- A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.
Experience:
- 1-3 years of hands-on AI/ML experience, especially in Text Mining, NLP, and text analytics.
Technical Skills:
- Expertise in Python (Pandas, Numpy, scikit-learn), SQL, TensorFlow, and other data science tools.
- Familiarity with AWS/Azure environments for training, testing, or deploying models.
Machine Learning & NLP Knowledge:
- Ability to train, fine-tune, or apply ML, Deep Learning, LLMs, and NLP models. In-depth knowledge of NLP concepts and application experience.
Data Preparation Skills:
- Expertise in data cleaning, normalization, and preparation for model training or inference.
Analytical Mindset:
- Strong ability to identify patterns in unstructured datasets and provide actionable insights.
Communication Skills:
- Strong written and verbal communication with the ability to structure clear, concise, and meaningful communication.
Critical Thinking & Problem-Solving:
- Strong analytical skills and the ability to think independently to solve complex problems.
Eagerness to Learn:
- A passion for learning about new technologies in the IT industry, Data Science, and Machine Learning.
Research Techniques Understanding:
- Robust understanding of primary and secondary research methods.
What We Offer:
- Flexible Hybrid Work Environment: Flexibility to work virtually when productive and meet colleagues in person for engaging, purposeful collaboration.
- Professional Growth: Gartner offers world-class benefits, competitive compensation, and tremendous rewards for top performers.
- Inclusive Work Culture: Diverse teams from various backgrounds and an environment that values collaboration and team success.
- Recognition as a Top Workplace: Gartner is consistently recognized as a great place to work worldwide.
Ready to Grow Your Career?
Join Gartner and contribute to world-class insights while developing cutting-edge technologies in the data science domain. We offer opportunities to grow, thrive, and make an impact!
Qualification : A fresher with a Master's in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, or Data Science. Alternatively, a B.E./B.Tech + Masters in Advanced Analytics or Data Science.

