W2 Role - Senior Data Scientist - 100% Remote Work - 6+ Months Contract - No Corp to Corp

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Invovia Inc, is seeking the following. Apply via Dice today! Senior Data Scientist 100 % Remote work 6+ Months Contract on w2 No Corp-Corp work We 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 Responsibilities • Translate 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 Experience • 9-12+ years 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 Qualification • Experience 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.