Senior Data Scientist

This is a Fully Remote Job
About Our Client:
The organization operates in the health and wellness sector, focusing on recovery support for individuals after workplace injuries or auto accidents. It addresses the challenge of facilitating effective recovery by combining technology, clinical expertise, and compassionate services, delivering solutions that benefit a wide range of clients from Fortune 500 companies to local businesses.
About the Opportunity:
The SENIOR DATA SCIENTIST role is focused on designing and implementing machine learning models to solve business problems related to medical claims. This position is critical for extracting insights from complex data sets, advancing predictive analytics capabilities, and supporting decision-making processes through data visualization and model deployment. The role contributes to improving operational efficiency and supporting the organization's mission by enhancing data-driven strategies.
Responsibilities:
Design, develop, and implement machine learning models and algorithms for medical claims analysis
Conduct exploratory data analysis to uncover patterns and insights
Clean and preprocess large, complex datasets to maintain data quality
Create data visualizations and dashboards for communication to diverse stakeholders
Collaborate with engineering teams to deploy models into production
Monitor and refine model performance
Mentor junior data scientists and contribute to best practices
Stay updated with emerging data science and machine learning techniques
Present findings and recommendations to leadership and business stakeholders
Requirements:
Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field
Minimum 3 years of professional experience in data science or machine learning
Proficiency in Python or R and data manipulation libraries (pandas, numpy, dplyr)
Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
Solid understanding of statistical methods and experimental design
Proficiency with SQL and relational databases
Experience with data visualization tools like Tableau or Power BI
Strong communication skills for translating technical concepts
Preferred Qualifications:
Experience with cloud platforms (AWS, Azure, GCP)
Knowledge of Snowflake data platform and performance optimization
Familiarity with big data technologies (Spark, Hadoop)
Experience with version control (Git) and containerization (Docker, Kubernetes)
Exposure to NLP, computer vision, or time series analysis
Contributions to open-source projects or research
Pay Range and Compensation Package:
The expected base pay ranges from $110,000 to $135,000 annually, depending on skills, experience, and education
Benefits & Perks:
Medical insurance
Dental insurance
Vision insurance
401(k) retirement plan
Tuition reimbursement
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Work arrangement
Yes