Gartner Jobs 2024 – Responsibilities

• 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 improve on the findings.
• Work as part of a team in an extremely fast-paced work environment with strict SLAs and less turnaround time.
• Be responsible for driving data science-driven initiatives with some guidance.
• Develop a strong understanding of Tech. industry and expertise in the data science domain.

Gartner Careers 2024 – Qualifications and Skills

• 1-3 years of hands-on AI/ ML experience on real-world industry problems, with a focus on Text Mining and Natural Language Processing.
• BE/ B. Tech/ Graduate + MBA (Data Science/ Analytics) from leading A or B-schools or post-graduate in Data Science/Statistics with a minimum of 1-3 years in data science /NLP/ text analytics role.Expertise in Python, and SQL. (Pandas, Numpy, scikit-learn, etc),
• TensorFlow, amongst other data science-related tools, libraries.
• Basic skills in PBI, Excel, and PowerPoint.
• Code/repo management experience using GitHub/ Bitbucket.
• Ability to train, fine-tune, or apply machine learning/ deep learning/ LLMs models to business use cases (NLP, LLMs, Supervised, Unsupervised, Neural Nets, etc.)
• In-depth NLP knowledge and application experience.
• Very good hands-on experience in 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 draw useful insights/ recommendations from them.
• Critical Thinking & Problem-Solving Skills: Strong analytical skills and the ability to think independently.
• Eagerness to Learn: Showing strong awareness of the major issues across the IT industry, data science, and 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.