Senior Applied AI Data Scientist

About the role

We are seeking a Senior Applied AI Data Scientist to join our team at Healthcare.com. This role will leverage advanced AI techniques to drive data-driven decision-making across various aspects of our business.

Responsibilities

• Develop and implement machine learning models to improve product performance and user experience.
• Collaborate with cross-functional teams to understand business needs and translate them into actionable data insights.
• Conduct data analysis to identify trends and patterns that can inform strategic initiatives.
• Optimize existing models and algorithms to enhance accuracy and efficiency.
• Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Minimum 5 years of experience in applied AI/data science roles.
• Proven track record of developing and deploying machine learning models.
• Experience with Python, R, or other relevant programming languages.
• Familiarity with data preprocessing, feature engineering, model selection, and evaluation techniques.
• Strong understanding of statistical methods and probability theory.
• Excellent problem-solving skills and ability to work independently and collaboratively.

Qualifications

• Experience with large-scale data processing and management systems.
• Knowledge of cloud-based platforms such as AWS, Google Cloud, or Azure.
• Ability to interpret complex data sets and communicate findings effectively.
• Strong communication and interpersonal skills.

Skills

• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with deep learning and neural networks.
• Understanding of natural language processing (NLP).
• Experience with data visualization tools like Tableau or Power BI.

Benefits

• Competitive salary commensurate with experience.
• Flexible remote work schedule.
• Professional development opportunities.
• Health insurance coverage.
• Employee discounts on healthcare products.

Pay

Salary is competitive and commensurate with experience.

Schedule

The position is full-time and offers a flexible remote schedule.