Data Science Manager - NLP/Machine Learning

Experience : 5 to 8 Years. Work From Offsite. Required Skills : data science NLP Phd Machine Learning. Job Description : We are seeking self-motivated and responsive individuals with a passion for data to join our dynamic team. As a key contributor, you will work collaboratively with statistical analysts, business analysts, and data engineers throughout the project lifecycle. This hands-on role involves data extraction, feature engineering, model design and development, and more to create impactful, value-adding solutions that address real business challenges. Core Responsibilities : - Collaborate with business teams to identify critical questions and develop data-driven solutions to address them. - Document data sources, methodologies, and analyses thoroughly for ongoing reference and improvement. - Partner with stakeholders to understand business requirements and design new data provisioning pipelines for Finance/External Reporting domains. - Apply advanced statistical methodologies (e., regression, statistical tests, properties of distributions) appropriately to business challenges. - Develop end-to-end Natural Language Processing (NLP) methodologies, including sentiment analysis, text classification, and topic modeling. - Employ advanced data mining and modeling techniques (e., GLM/Regression, K-Means Clustering, Decision Trees, Random Forests, Naive Bayes, NLP, AI, Social Network Analysis) and assess their suitability for various business problems. - Proactively dig deeper into stakeholders' requests to understand the bigger picture and capture insights that drive business value. Qualifications : - PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, Engineering, or a related quantitative field. - A graduate degree in a quantitative field is highly preferred. - 4 years of experience in data engineering, analytics, or data science roles. - 1 years of experience in Natural Language Processing methodologies. - Strong proficiency in Python, Spark ML, and SQL; exposure to R and SAS is a plus. - Familiarity with Google Cloud Platform (GCP) is preferred. - Enthusiastic and quick to learn, with a solid mathematical foundation and a passion for coding. - Experience in applying statistics and machine learning to solve complex business challenges. - Financial services experience is a plus but not required. (ref:hirist.tech)

Location: in, IN

Posted Date: 10/25/2024