Sr.Data scientist

ResponsibilityDevelop potential new methodologies using DL/ML/LLM and Agentic Framework models to predict user behavior and improve automation.Apply different GenAI techniques to derive actionable insights.Collaborate with the leadership team across Sales, Marketing, and Customer Success to define and execute the post-sales strategy, including market segmentation, target account selection, and go-to-market approaches.Conduct in-depth analysis of customer success data, market trends, and customer insights to identify improvements and value-driving activities.Partner with product teams to design, administer, and analyze the results of A/B and multivariate tests.Leverage data to develop actionable analytical insights and present findings to senior management.Evangelize models, frameworks, analysis, and insights with stakeholders and business partners.Act with a sense of urgency and purpose, identify and resolve roadblocks, and reach out to cross-functional team members to solicit input and/or assist when appropriate.Basic QualificationsBachelor’s or Master’s degree in Computer Science, Physics, Mathematics, Statistics, or a related field.8+ years of hands-on experience in building data science applications and machine learning pipelines.Experience with Python for both research and software development purposes.Knowledge of common machine learning, deep learning, and statistics frameworks and concepts, including Large Language Models.Experience with large datasets, distributed computing, and cloud computing platforms.Experience with relational databases (e.g., SQL).Ability to break down technical concepts into simple terms for diverse technical and non-technical audiences.Experience in training and deploying machine learning models in production environments.Proven track record of taking an ML project from 0 to 1 to 10.Experience using machine learning and deep learning algorithms like CatBoost, XGBoost, LGBM, and Feed Forward Networks for classification, regression, and clustering problems.Experience in programming languages like Python, SQL, R, etc.Experience across the SaaS domain as a Data Scientist.Hands-on experience with DataRobot for building, training, and deploying machine learning models.