
Senior Data Scientist
- On-site
- Heredia, Heredia, Costa Rica
- Software Engineering
Job description
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.
Job 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).
or
All done!
Your application has been successfully submitted!