Data Scientist Or Associate Data Scientist (nlp Focused) (Gurugram)

Role Overview: As a Data Scientist or Associate Data Scientist in the Client Retention Analytics team, you will be responsible for executing large-scale data modeling projects. Your role will involve designing, developing, validating, socializing, operationalizing, and maintaining data-driven analytics to provide business insights that enhance operational efficiency and customer value. You should have a strong exposure to Classical ML, Python, NLP, statistical principles, and their application in modeling. Key Responsibilities: - 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 proposing technical solutions, data wrangling, exploratory data analysis, model development, validation, operationalization, and deployment. - Effectively communicate technical solutions and analytical results to both technical and non-technical stakeholders. - Collaborate cross-functionally with business stakeholders, IT, and Project Management teams to design and deliver cutting-edge analytics solutions. - Utilize Machine Learning, Artificial Intelligence, NLP, and advanced Statistical Modeling to solve challenging business problems. - Integrate advanced NLP techniques such as vector databases, embeddings, topic modeling, and fine-tuning of transformer models like BERT to enhance text analytics capabilities. Qualifications Required: - Candidates with 3-6 years of experience for Data Scientist or 1-3 years for Associate Data Scientist role. - 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 in 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. - Proficiency in Python, SQL, and Spark, with working knowledge of Power BI, Excel, and PowerPoint. - Hands-on experience with a variety of modeling techniques such as Time Series Analysis, Random Forests, Clustering, Neural Networks, etc. - Experience in key business applications like churn analysis, customer profiling, and recommendation systems. - Exceptional communication skills and the ability to convey complex technical concepts to diverse audiences. Company Details: At Gartner Inc., we guide leaders who shape the world by providing actionable insights and expert analysis. With a global team of over 21,000 associates supporting clients in 90 countries, we offer a collaborative culture that embraces diversity, professional development, and unlimited growth opportunities. Gartner is committed to being an Equal Opportunity Employer and provides world-class benefits, competitive compensation, and a hybrid work environment that supports personal and professional growth. Role Overview: As a Data Scientist or Associate Data Scientist in the Client Retention Analytics team, you will be responsible for executing large-scale data modeling projects. Your role will involve designing, developing, validating, socializing, operationalizing, and maintaining data-driven analytics to provide business insights that enhance operational efficiency and customer value. You should have a strong exposure to Classical ML, Python, NLP, statistical principles, and their application in modeling. Key Responsibilities: - 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 proposing technical solutions, data wrangling, exploratory data analysis, model development, validation, operationalization, and deployment. - Effectively communicate technical solutions and analytical results to both technical and non-technical stakeholders. - Collaborate cross-functionally with business stakeholders, IT, and Project Management teams to design and deliver cutting-edge analytics solutions. - Utilize Machine Learning, Artificial Intelligence, NLP, and advanced Statistical Modeling to solve challenging business problems. - Integrate advanced NLP techniques such as vector databases, embeddings, topic modeling, and fine-tuning of transformer models like BERT to enhance text analytics capabilities. Qualifications Required: - Candidates with 3-6 years of experience for Data Scientist or 1-3 years for Associate Data Scientist role. - 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 in developing and deploying descriptive, predictive, and prescriptive models. - Advanced knowledge and practical expertise in NLP, including exper