Senior Data Scientist

We are seeking a Senior Data Scientist with expertise in healthcare analytics, predictive modeling, and machine learning to help extract meaningful insights from large-scale healthcare data. This role requires a strong background in statistical modeling, programming (Python or similar), and multi-variable comparisons to drive data-driven decision-making.

About First Factory

We are a software development company with over two decades of experience, boasting a dynamic team of 200+ professionals actively engaged in diverse projects across various industries. We invite you to join us on this journey as we thrive and embrace fresh challenges.

Key Responsibilities:

• Develop advanced statistical models to predict healthcare trends and improve decision-making.
• Build multi-variable comparison models for complex data analysis.
• Design and deploy machine learning models to enhance predictive analytics.
• Process, analyze, and manage large structured and unstructured datasets to extract insights.
• Utilize Python or similar programming languages for data modeling and automation.
• Apply knowledge of healthcare operations and terminology to interpret and analyze industry-specific data.
• Leverage experience in cybersecurity, cyber-marketing, or comparable predictive models to enhance analytical frameworks.
• Collaborate with cross-functional teams to align data-driven strategies with healthcare objectives.

Requirements:

• Proven experience as a Data Scientist in the healthcare industry or a related field.
• Proficiency in Python, R, SQL, or other relevant programming languages.
• Strong experience with machine learning models and statistical analysis.
• Hands-on experience with libraries such as scikit-learn, Keras, pandas, and NumPy for building, evaluating, and deploying machine learning models.
• Expertise in handling large-scale healthcare datasets and performing advanced data analytics.
• Excellent written and verbal communication skills.
• Ability to work independently and manage multiple projects in a fast-paced environment.
• Strong problem-solving skills.

Preferred Skills:

• Experience with cloud-based data platforms (AWS, Azure, GCP).
• Familiarity with data visualization tools (Tableau, Power BI, etc.).
• Knowledge of regulatory compliance and data privacy laws in healthcare (HIPAA, GDPR).