Data Scientist – Applied AI
- Hiring from
- Probably Worldwide
- Work type
- Remote
- Posted
- Sep 29, 2026
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Role: Data Scientist – Applied AI
Duration: 6 months contract (possible extension)
Location: Remote
Pay Rate: $50 to $55
Summary: We are seeking a Data Scientist to develop and operationalize AI and machine learning solutions supporting business decision-making. The role will focus on applied AI, predictive modeling, analytics, and intelligent workflows, working closely with product, data, engineering, and business teams.
Key Responsibilities:
- Design, develop, and deploy machine learning and AI solutions.
- Perform data exploration, feature engineering, model training, validation, and optimization.
- Develop predictive models, forecasting, and decision-support solutions.
- Apply modern AI techniques including NLP, LLMs, and intelligent automation.
- Build analytics, KPIs, and dashboards to support business decisions.
- Collaborate with engineering teams on ML/AI deployment, monitoring, and lifecycle management.
- Communicate analytical findings and AI insights to technical and business stakeholders.
- Master’s degree or PhD in Data Science, Computer Science, Statistics, Mathematics, AI, Engineering, or related field.
- 5+ years of experience in data science, applied AI, machine learning, or advanced analytics.
- Strong experience developing and deploying ML models.
- Strong Python skills with scikit-learn, TensorFlow, PyTorch, pandas, and NumPy.
- Strong SQL skills and experience working with large datasets.
- Experience with predictive modeling, forecasting, classification, or decision-support solutions.
- Experience working with structured and unstructured data.
- Familiarity with AWS, GCP, or Azure.
- Strong communication and stakeholder collaboration skills.
- Experience with LLMs, NLP, vector databases, or agentic AI.
- Experience with MLOps/LLMOps and productionizing AI/ML models.
- Experience with AWS SageMaker or equivalent.
- Experience with Power BI, Tableau, or similar visualization tools.
- Healthcare, life sciences, partnering, or business development experience is a plus.
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