Associate Data Scientist

About this Role

The Associate 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 & insights, and using creative ways to visualize & interpret it for research. This person will have a flair of innovation along with a strong exposure to 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

• A fresher with a Masters in Engineering, Computer Science, Statistics, Mathematics, Applied Mathematics, Computer Science with focus on AI or Data Science OR BE/BTech or Bachelors + MBA(Data Science) with a minimum of 1-3 years of hands-on 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.

• 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.

What we offer:

• Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Employee Provident Fund (EPF) contributions, Parental Leave, Employee Assistance Program (EAP) and more!

• Collaborative, team-oriented culture that embraces diversity

• Professional development and unlimited growth opportunities

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Who are we? 

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to more than 20,000 associates globally who support ~15,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work? 

Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

What do we offer? 

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. 

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.

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