Data Scientist jobs in United States

Our client in the Pharmaceutical industry is looking for an AI Specialist in the Parktown area.

The AI Specialist will be responsible for leveraging artificial intelligence (AI) and machine learning (ML) to optimize healthcare and pharmaceutical operations, enhance patient outcomes, and streamline data-driven decision-making.

This role will focus on automating manual processes, improving data analysis, and deploying AI-powered solutions for clinical, research, and administrative functions. The specialist will collaborate with business and IT teams to identify AI opportunities, design and train machine learning models, and ensure seamless integration with enterprise infrastructure.

They will also develop an AI adoption roadmap, ensure compliance with ethical AI standards and data privacy regulations, and provide training to teams for successful AI adoption. Additionally, they will oversee the deployment, monitoring, and continuous optimization of AI solutions to ensure long-term value and scalability.

Bachelor's degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, Engineering, Bioinformatics, Healthcare Informatics, or a related field. Strong foundation in AI, machine learning, and data analytics.

Preferred (but not mandatory): Master's degree or PhD in AI, Data Science, Healthcare Informatics, or a related discipline (especially for senior roles). Certifications in AI / ML, Cloud Computing, or Data Science, such as:

1. Google Cloud AI / ML Certification
2. Microsoft Certified: Azure AI Engineer Associate
3. AWS Certified Machine Learning – Specialty
4. TensorFlow Developer Certification
5. IBM AI Engineering Certification

Required experience: 3–5 years of experience in AI, machine learning, data science, or related fields. Hands-on experience in developing and deploying AI models. Experience in predictive analytics, sales forecasting, and commercial strategy using AI. Experience with data platforms, cloud environments, and database management. Experience in automating business processes using RPA or AI-driven workflow tools.

Preferred experience (but not mandatory): Exposure to healthcare and pharmaceutical industry standards, data privacy, and compliance. Direct experience in AI applications for medical imaging, diagnostics, or clinical trials. Prior work in AI-based patient engagement tools or personalized medicine.

AI & Machine Learning: Proficiency in AI / ML frameworks (TensorFlow, PyTorch, Scikit-learn, Keras). Experience in natural language processing (NLP), deep learning, and computer vision.

Programming & Development: Strong knowledge of Python, R, SQL, and / or Java for AI model development. Experience with big data technologies (Spark, Hadoop) is a plus.

Cloud & Data Platforms: Experience in cloud-based AI deployment (AWS AI / ML, Azure AI, Google Cloud AI). Hands-on experience with data pipelines, ETL processes, and real-time data processing.

Business & Analytical Skills: Strong ability to analyze large datasets and provide data-driven business insights. Ability to develop AI-driven commercial strategy, sales forecasting, and market analytics models.

Work Environment: Ability to work in a fast-paced, technology-driven environment. Flexibility to collaborate with cross-functional teams. Strong project management and multitasking skills.

Tools & Platforms: Proficiency in BI and analytics tools. Experience in Robotic Process Automation (RPA) tools is a plus.

Please attach CV, qualifications, ID, and driver's license.