Full Stack Data Scientist (AI)

TL;DR

Full Stack Data Scientist (AI/ML): Developing end-to-end data-driven solutions and robust data pipelines for healthcare and life sciences organizations with an accent on machine learning model deployment and software engineering. Focus on integrating scalable ML workflows into production environments and optimizing model performance via advanced analytics.

Location: Remote (Must be based in the US)

Company

hirify.global is a US-based SDVOSB services company specializing in AI, automation, and data transformation for commercial healthcare and government entities.

What you will do

• Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various sources.
• Conduct comprehensive exploratory data analysis and create interactive visualizations and dashboards for stakeholders.
• Design, develop, and deploy predictive models using advanced machine learning algorithms and techniques.
• Build scalable and efficient software solutions for deploying ML models into production environments.
• Establish monitoring mechanisms to track deployed model performance and ensure stability and scalability.
• Collaborate with cross-functional teams, including data engineers and software developers, to enable data-driven decision-making.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Proven experience in data preprocessing, exploratory data analysis, and feature engineering.
• Expert-level skills in data visualization platforms (e.g., Qlik, Tableau, Power BI).
• Proficiency in Python, R, and SQL for data manipulation and analysis.
• Hands-on experience with ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Experience deploying end-to-end data science solutions in cloud environments (AWS, Azure, or GCP).

Nice to have

• Industry experience in Pharma, Biotech, CPG, Retail, or Manufacturing.
• Familiarity with Docker, Kubernetes, and CI/CD practices.
• Experience with distributed computing frameworks like Dask or Ray.

Culture & Benefits

• Empowering work environment that encourages an entrepreneurial way of thinking.
• Culture based on 10 Guiding Principles, emphasizing transparency and valuing people.
• Fast-paced environment with opportunities to work on cutting-edge AI and automation innovations.
• Commitment to non-discrimination and equal opportunity employment.