Data Scientist ( 3 to 6 yrs exp in Classical NLP & ML) at Gartner

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, NLP, Machine Learning, Python, Statistical Principles, Data Modeling, Data Cleaning, Exploratory Data Analysis, Feature Engineering, Model Validation, Model Deployment, Communication Skills, Collaboration, Churn Analysis, Customer Profiling, Recommendation Systems

Industry

Market Research

Description

About the role: This is a unique opportunity to join our fast-growing Data Science team. In the role of Data Scientist in Client Retention Analytics team, you will execute large scale, high impact data modeling projects with responsibility for designing, developing, validating, socializing, operationalizing, and maintaining data-driven analytics that provide business insights to increase operational efficiency and customer value. This person will have a flair of innovation along with a strong exposure to Classical ML, Python, NLP, statistical principles and their application in modeling. What You Will Do: Deliver ad hoc modeling and advanced analytical insights to drive strategic and operational decision-making across the organization Lead all phases of the DS project lifecycle, including: understanding complex business challenges, proposing and architecting technical solutions, data wrangling, data cleaning, exploratory data analysis, feature engineering, model selection and development, rigorous model validation, operationalization, and deployment of models, as well as the clear presentation and documentation of results and actionable insights Effectively communicate complex technical solutions and analytical results to both technical and non-technical stakeholders, ensuring alignment and understanding Collaborate cross-functionally with business stakeholders, IT, and Project Management teams to design, develop, and deliver cutting-edge analytics solutions that have a measurable business impact. Leverage the latest technologies and methodologies, including Machine Learning, Artificial Intelligence, Natural Language Processing (NLP), and advanced Statistical Modeling, to solve challenging business problems Integrate advanced NLP techniques such as vector databases (VectorDB), embeddings, topic modeling, and fine-tuning of transformer models like BERT to enhance text analytics capabilities What You Will Need: Candidates with 3-6 years of professional Data Science experience must hold a Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science, or a related field Deep understanding of statistical principles and their practical application in data modeling and analysis Proven experience developing and deploying descriptive, predictive, and prescriptive models Advanced knowledge and practical expertise in NLP, including experience with vector databases, embeddings, topic modeling, and fine-tuning transformer-based models such as BERT Experience with using GenAI models (GPT4 etc.) is good to have Proficiency in Python, SQL, and Spark; working knowledge of Power BI, Excel, and PowerPoint Hands-on experience with a variety of modeling techniques, including but not limited to: Time Series Analysis, Random Forests, Clustering, Neural Networks, Generalized Linear Models, Optimization, Design of Experiments (DOE), and Dimensionality Reduction Experience in key business applications such as churn analysis, customer profiling, and recommendation systems Ability to thrive in a fast-paced environment, managing multiple priorities and delivering high-quality results within established timelines Exceptional communication skills, with the ability to convey complex technical concepts to diverse audiences and influence key stakeholders and leaders across the organization What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities #LI-PM3 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 21,000 associates globally who support ~14,000 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 seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:102943 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. At Gartner, we guide the leaders who shape the world. About 14,000 client enterprises worldwide rely on Gartner for actionable, objective insight. Our teams of thinkers and doers know that staying curious is the best way to shape the future, for ourselves and our clients. 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. 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.

Responsibilities

The Data Scientist will execute large scale data modeling projects, focusing on designing, developing, and operationalizing data-driven analytics to enhance customer value. This role involves leading all phases of the data science project lifecycle and effectively communicating insights to stakeholders.