Data ScientistWe're hiring a Data Scientist to turn data into decisions and ML products that drive impact.You'll own problem framing, EDA, feature engineering, model development / validation, experimentation, and clear storytelling-partnering with product and engineering to ship measurable outcomes.Key ResponsibilitiesTranslate business needs into data / science problems with clear success metrics.Explore, clean, and join complex datasets; engineer high-signal features.Build, validate, and iterate predictive / classification / ranking / NLP / time-series models.Design and analyze experiments (A / B, multi-arm) and causal studies for trustworthy inference.Communicate insights via narratives, visuals, and actionable recommendations.Partner with product / engineering to productionize models and monitor performance.Required Skills and Experience6-8years of applied data science experience in production or equivalent.Strong foundations in statistics, probability, and experimental design.Advanced SQL and proficiency in at least one general-purpose programming language, with hands-on experience using ML libraries and tooling.Experience working with large datasets and familiarity with distributed data processing frameworks.Proficiency in model evaluation, validation, and monitoring (offline / online metrics).Fluency in data visualization and executive-ready communication.Familiarity with MLOps practices and collaboration with data / platform engineering.BS / MS in a quantitative field (or equivalent experience) and strong communication skills.Preferred QualificationExperience in specialized areas like NLP, forecasting, recommendations, or anomaly detection.Knowledge of causal inference and A / B testing methods.Hands-on work with feature stores, real-time data, or online ML systems.Familiarity with cloud data platforms and modern warehouses.Experience mentoring peers and contributing to cross-team projects.Extra plus :publications, open-source contributions, or conference talks.. Experience: 5 years required