Note: The job is a remote job and is open to candidates in USA. Triune Infomatics Inc is seeking an experienced Data Scientist – Applied AI to develop and operationalize machine learning and AI solutions across the Partnering Digital Solutions ecosystem. The role focuses on building predictive, forecasting, recommendation, and decision-support models, translating business challenges into scalable solutions, and deploying and maintaining AI/ML capabilities in production.
Responsibilities
- Design, develop, validate, and deploy machine learning and applied AI solutions for business and operational use cases
- Perform EDA, feature engineering, model selection, training, validation, and performance evaluation, optimizing models for scalability, reliability, and business impact
- Develop predictive, classification, forecasting, recommendation, and decision-support models using structured and unstructured data
- Translate complex business problems into analytical models, actionable insights, and intelligent workflows in partnership with product and business teams
- Apply modern AI techniques including NLP, LLM-enabled workflows, and intelligent automation where appropriate
- Build analytics, KPIs, dashboards, and operational intelligence capabilities that support data-driven decisions
- Collaborate with engineering and architecture teams to deploy, monitor, and maintain ML/AI solutions in production, following enterprise AI governance and MLOps practices
- Communicate model results and analytical insights through visualizations, presentations, and clear data storytelling for technical and non-technical stakeholders
- Work effectively in a cross-functional Agile environment and contribute to continuous improvement of AI/ML practices and solutions
Skills
- Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, AI, or a related quantitative field
- 5+ years of experience in data science, applied AI, machine learning, or advanced analytics
- Strong hands-on experience developing, evaluating, and deploying machine learning models for business applications
- Strong proficiency in Python, SQL, pandas, NumPy, scikit-learn, TensorFlow, and/or PyTorch
- Experience with predictive modeling, classification, recommendation, forecasting, or decision-support solutions
- Experience working with structured and unstructured data from multiple sources
- Familiarity with AWS, Azure, or GCP and cloud-based AI/ML platforms
- Strong communication and stakeholder collaboration skills
- Experience with LLMs, NLP, vector databases, RAG, agentic AI, or AI-enabled workflows
- Experience with MLOps/LLMOps, model deployment, monitoring, observability, and lifecycle management
- Experience with AWS SageMaker or equivalent cloud AI/ML services
- Experience with Tableau, Power BI, or similar visualization tools
- Experience working in product-centric Agile environments and ambiguous business settings
- Experience in healthcare, life sciences, partnering, or business development is a plus
Benefits
- Remote work arrangement
- 3-month contract duration
Company Overview
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