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 1-3 years of hands-on AI/ML experience on real-world industry problems, with focus on Text Mining and Natural Language Processing.
BE/BTech/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, 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 you'll get.
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 #LI-ST Who are we? At Gartner, Inc.
(NYSE.
IT), we deliver actionable, objective insight that drives smarter decisions and stronger performance on an organization’s mission-critical priorities.
We’ve grown exponentially since our founding in and we're proud to have over associates globally that support over client enterprises in more than 100 countries.
What makes Gartner a great place to work? Our teams are composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.
We believe that a diversity of experiences makes us stronger—as individuals, as communities and as an organization.
That’s why we're recognized worldwide as a great place to work year after year.
We've been recognized by Fortune as one of the World’s Most Admired Companies, named a Best Place to Work for LGBTQ Equality by the Human Rights Campaign Corporate Equality Index and a Best Place to Work for Disability Inclusion by the Disability Equality Index.
Looking for a place to turn your big ideas into reality? Join #LifeAtGartner What we offer.
Our people are our most valuable asset, so we invest in them from Day 1.
When you join our team, you’ll have access to a vast array of benefits to help you live your life well.
These resources are designed to support your physical, financial and emotional well-being.
We encourage continued personal and professional growth through ongoing learning and development opportunities.
Our employee resource groups, charity match and volunteer programs keep you connected to your internal Gartner community and causes that matter to you.
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