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Gartner

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4.1

based on 536 Reviews

63 Gartner Jobs

Data Scientist

Gartner

4.1

based on 536 Reviews

8-13 years

Gurgaon / Gurugram

1 vacancy

Data Scientist

Gartner

posted 14d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Python SQL Machine Learning Operations Recruitment

+ 3 more

Job Description

The Data Scientist in the Interaction Insights team will help in generating actionable insights for driving the creation of fact-based research from client interactions and other Gartner internal and external data assets
At the core we are looking for a person who is passionate about learning new technologies, text analytics, digging into rows of unstructured data, drawing recommendations & actionable insights, and using creative ways to visualize & interpret it for research
This person will have a flair of innovation along with a strong experience in Python, Data Science, NLP, Machine Learning, Deep Learning, LLMs and the analysis of unstructured data
They would be working closely with various stakeholders to explore opportunities to optimize data mining techniques and improve the accuracy of insights generated using NLP or various types of Machine Learning/Deep Learning/LLM models

What you'll Do

Execute large scale high impact data science projects. Translate research objectives into data & fact-base from Gartner internal and external data assets.
Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives.
Analyze unstructured text data to find insights and patterns, using advanced data science techniques.
Interpret the patterns & insights in-line with the original business objective
Solve most pressing business challenges with data science, ML and NLP in the center
Interact with internal & external stakeholders to improvise on the findings Work as part of a team in an extremely fast paced work environment with strict SLA s and less turnaround time
Be responsible for driving data science driven initiatives with some guidance
Develop strong understanding of Tech. industry and expertise in data science domain

What you'll Need

Education - Masters in Engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, Computer Science with focus on AI or Data Science; BE/BTech or Bachelors + MBA(Data Science)
Experience - 3 to 6 years of hands-on Data Science, AI/ML experience on real-world industry problems, with focus on Text Mining and Natural Language Processing/text analytics
Expertise in Python, SQL. (Pandas, Numpy, scikit-learn, etc), TensorFlow, amongst other data science related tools, libraries.
Basic skills in PBI, Excel, Power Point.
Code/repo management experience using GitHub/Bitbucket.
Ability to train, finetune or apply machine learning/deep learning/LLMs models to business use cases (NLP, LLMs, Supervised, Un-Supervised, Neural Nets, etc) In-depth NLP knowledge and application experience.
Very good hands-on experience of AWS/Azure environment to train, test or deploy the data science models.
Own all aspects of accessing and using text data, including data cleaning, data normalization, and data preparation to be used for model training, testing or inference.
Analytical bent of mind with the ability to analyze data, identify patterns from unstructured data sets and to draw useful insights / recommendations from them.
Critical Thinking & Problem-Solving Skills: Strong analytical skills and the ability to think independently on open ended problems
Eagerness to Learn: Showing strong awareness of the major issues across the IT industry, data science, machine learning and eagerness to learn more.
Ability to work in a fast-paced environment and deliver against milestones.
Excellent communication skills in technical and business domains Proven ability to influence key stakeholders and leaders