Data Scientist (Remote)

Inspira is seeking highly skilled and intellectually curious Data Scientist to join our dynamic Data Science & Analytics Organization. The role is central to driving data informed decision-making across the organization by developing predictive models, uncovering insights and building scalable analytic solutions.

The ideal candidate will possess a strong foundation in statistical modeling, machine learning, and data engineering, along with the ability to communicate complex findings in a clear and actionable manner to both technical and non-technical stakeholders.

Duties & Responsibilities:

• Develop and deploy predictive models and machine learning algorithms to solve

business problems and optimize performance

• Conduct exploratory analysis to identify trends, patterns and opportunities
• Collaborate with cross-functional teams to define business questions and

translate them into analytical frameworks

• Build and maintain data pipelines and ensure data quality, integrity, and

accessibility

• Design and deliver visualizations and dashboards that communicate insights

effectively

• Apply statistical techniques to test hypotheses validate model performance
• Document methodologies, code and findings to ensure transparency and

reproducibility

Qualifications

• Bachelors degree in Data Science, Statistics, Mathematics or related field

(Masters degree preferred)

• 3 – 5+ years of experience in data science or advanced analytics role
• Proficiency in programming languages such as Python, SQL and R
• Proficiency with statistical modeling and machine learning
• Familiarity with cloud data platforms (Snowflake, Azure)
• Experience with data visualization tools (Tableau, Looker)
• Experience with Docker Containers
• Excellent communication and storytelling skills
• Experience with MLOps, model deployment, and version control (Git)

[preferred]

• Knowledge of natural language processing (NLP) or deep learning techniques
• Exposure to semantic layer design and data governance frameworks