Data Scientist – Applied AI

Job Type: Contract
Work Flexibility: Remote
Location: Remote
Required Skills: Machine Learning MLOps & Cloud AI (AWS/Azure/GCP) NLP/LLMs Predictive Modeling Python SQL

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.

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.

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