Devitechs
Data Scientist (AI Specialization) Devi Technologies
Devitechs, Granite Heights, Wisconsin, United States
Responsibilities
✔️ Analyze and interpret complex datasets to build predictive, prescriptive, and automated insights.
✔️ Apply advanced ML techniques such as NLP, LLM fine‑tuning, deep learning, and computer vision.
✔️ Build statistical models and AI‑driven solutions to solve business challenges.
✔️ Perform exploratory data analysis (EDA) using Python, R, or SQL.
✔️ Develop prototypes and proof‑of‑concept AI models.
✔️ Work with business leaders to define data‑driven strategies and KPIs.
✔️ Research bleeding‑edge AI trends and evaluate opportunities for adoption.
✔️ Build and maintain datasets required for training and inference.
✔️ Visualize insights through dashboards and storytelling tools.
✔️ Implement feature engineering, data transformations, and ML enhancements.
✔️ Validate model accuracy using cross‑validation and advanced metrics.
✔️ Document methodologies, findings, and recommendations.
✔️ Present insights to leadership in a clear and data‑driven manner.
✔️ Work closely with ML Engineers to productize models.
✔️ Ensure AI models follow ethical and regulatory standards.
✔️ Develop predictive analytics for forecasting, churn analysis, and segmentation.
✔️ Participate in continuous improvement of AI frameworks.
✔️ Conduct statistical experiments and hypothesis testing.
✔️ Mentor analysts and junior scientists on AI and ML concepts.
✔️ Support strategic planning for long‑term AI roadmap initiatives.
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✔️ Analyze and interpret complex datasets to build predictive, prescriptive, and automated insights.
✔️ Apply advanced ML techniques such as NLP, LLM fine‑tuning, deep learning, and computer vision.
✔️ Build statistical models and AI‑driven solutions to solve business challenges.
✔️ Perform exploratory data analysis (EDA) using Python, R, or SQL.
✔️ Develop prototypes and proof‑of‑concept AI models.
✔️ Work with business leaders to define data‑driven strategies and KPIs.
✔️ Research bleeding‑edge AI trends and evaluate opportunities for adoption.
✔️ Build and maintain datasets required for training and inference.
✔️ Visualize insights through dashboards and storytelling tools.
✔️ Implement feature engineering, data transformations, and ML enhancements.
✔️ Validate model accuracy using cross‑validation and advanced metrics.
✔️ Document methodologies, findings, and recommendations.
✔️ Present insights to leadership in a clear and data‑driven manner.
✔️ Work closely with ML Engineers to productize models.
✔️ Ensure AI models follow ethical and regulatory standards.
✔️ Develop predictive analytics for forecasting, churn analysis, and segmentation.
✔️ Participate in continuous improvement of AI frameworks.
✔️ Conduct statistical experiments and hypothesis testing.
✔️ Mentor analysts and junior scientists on AI and ML concepts.
✔️ Support strategic planning for long‑term AI roadmap initiatives.
#J-18808-Ljbffr