Data Scientist (Remote) at iFIT
United States
<p>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.</p> <p> </p> <p>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.</p> <p> </p> <p><strong>Duties & Responsibilities:</strong></p> <ul> <li>Develop and deploy predictive models and machine learning algorithms to solve business problems and optimize performance</li> <li>Conduct exploratory analysis to identify trends, patterns and opportunities</li> <li>Collaborate with cross-functional teams to define business questions and translate them into analytical frameworks</li> <li>Build and maintain data pipelines and ensure data quality, integrity, and accessibility</li> <li>Design and deliver visualizations and dashboards that communicate insights effectively</li> <li>Apply statistical techniques to test hypotheses validate model performance</li> <li>Document methodologies, code and findings to ensure transparency and reproducibility</li> </ul> <strong><span>Qualifications</span></strong> <ul> <li>Bachelors degree in Data Science, Statistics, Mathematics or related field (Masters degree preferred)</li> <li>3 – 5+ years of experience in data science or advanced analytics role</li> <li>Proficiency in programming languages such as Python, SQL and R</li> <li>Proficiency with statistical modeling and machine learning</li> <li>Familiarity with cloud data platforms (Snowflake, Azure)</li> <li>Experience with data visualization tools (Tableau, Looker)</li> <li>Experience with Docker Containers</li> <li>Excellent communication and storytelling skills</li> <li>Experience with MLOps, model deployment, and version control (Git) [preferred]</li> <li>Knowledge of natural language processing (NLP) or deep learning techniques</li> <li>Exposure to semantic layer design and data governance frameworks</li> </ul>
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