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

• Build and deploy statistical and machine learning models to detect anomalies, predict trends, and improve decision-making in healthcare environments.

• Translate technical findings into practical solutions that align with clinical workflows and business outcomes.

• Work independently to apply domain-specific business rules and validate data-driven models.

• Handle high-variability, complex datasets to extract insights meaningful to healthcare operations.

• Combine supervised and unsupervised learning techniques to solve nuanced challenges in areas like diversion prevention and medication tracking.

• Collaborate with cross-functional teams to bring data science initiatives from exploration to implementation in live products.

• Leverage contextual awareness and domain knowledge to score behaviors meaningfully, recognizing that healthcare environments are rarely binary.

• Maintain a clear focus on business urgency, operational impact, and measurable success.

• Proven experience as a Data Scientist, ideally in healthcare or a field that focuses on human behavior.

• Hands-on expertise with both supervised and unsupervised learning.

• Demonstrated success in bringing data science models into production within commercial products or platforms.

• Hands-on experience with libraries such as scikit-learn, Keras, pandas, and NumPy for building, evaluating, and deploying machine learning models.

• Ability to navigate complex datasets and deploy scalable, high-performance analytical solutions.

• Strong business orientation with a sense of urgency and focus on real-world outcomes.

• Independent problem-solving skills and initiative to innovate in ambiguous, high-stakes environments.

• Excellent communication skills for both technical and non-technical audiences
  

Preferred Skills

• Experience in healthcare data, especially involving clinical workflows, diversion detection, or medication use.

• Familiarity with regulatory compliance frameworks like HIPAA or GDPR.

• Exposure to cloud-based platforms (AWS, Azure, GCP) and visualization tools (Power BI, Tableau).

• Background in cybersecurity, cyber-marketing, or other behavior-focused predictive modeling domains.