Data Scientist Applied AI

Role: Data Scientist – Applied AI
Duration: 6 months contract (possible extension)
Location: Remote

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.

Required Qualifications:

• 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.

Preferred Qualifications:

• 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.