[Hiring] Senior Data Scientist @Enlyte

Role Description

• Design, develop, and implement machine learning models and algorithms to address business problems related to medical claims
• Conduct exploratory data analysis to identify patterns, trends, and insights
• Clean, preprocess, and transform large, complex datasets to ensure data quality
• Create compelling data visualizations and dashboards to communicate findings to technical and non-technical stakeholders
• Collaborate with engineering teams to deploy models into production environments
• Monitor model performance and implement improvements as needed
• Mentor junior data scientists and contribute to best practices documentation
• Stay current with emerging techniques and technologies in data science and machine learning
• Present findings and recommendations to leadership and business stakeholders

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field
• 3+ years of professional experience in data science, machine learning, or related analytical role
• Strong programming skills in Python or R, and proficiency with data manipulation libraries (pandas, numpy, dplyr)
• Experience building and deploying machine learning models using frameworks such as scikit-learn, TensorFlow, or PyTorch
• Solid understanding of statistical methods, experimental design, and hypothesis testing
• Proficiency with SQL and experience working with relational databases
• Experience with data visualization tools (Tableau, Power BI, or similar)
• Strong communication skills with the ability to translate technical concepts to non-technical audiences

Requirements

• Experience with cloud computing platforms (AWS, Azure, GCP)
• Experience with Snowflake cloud data platform, including:
  • Writing optimized SQL queries for Snowflake's architecture
  • Leveraging Snowflake's unique features like Time Travel, Zero-Copy Cloning, and Secure Data Sharing
  • Working with Snowflake's semi-structured data capabilities (VARIANT, ARRAY, OBJECT types)
  • Using Snowflake's integration with Python via connectors and Snowpark
  • Experience with Snowflake's performance optimization techniques
• Knowledge of big data technologies (Spark, Hadoop)
• Experience with version control systems (Git) and collaborative development workflows
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
• Experience with NLP, computer vision, or time series analysis
• Contributions to open-source projects or research publications

Required Technical Skills

• Programming: Python, SQL, R (preferred)
• Cloud Data Warehousing: Snowflake SQL, Snowflake data objects and architecture
• Machine Learning: Classification, regression, clustering, dimensionality reduction
• Data Processing: ETL pipelines, data cleaning, feature engineering
• Statistics: Hypothesis testing, experimental design, A/B testing
• Tools: Jupyter, Git, Docker (preferred)
• Visualization: Matplotlib, Seaborn, ggplot2, Tableau, PowerBI

Soft Skills

• Problem-solving and analytical thinking
• Excellent written and verbal communication
• Collaboration and teamwork
• Attention to detail
• Time management and prioritization
• Continuous learning mindset

Benefits

• Medical, Dental, Vision
• Health Savings Accounts / Flexible Spending Accounts
• Life and AD&D Insurance
• 401(k)
• Tuition Reimbursement
• Resources that encourage a lifetime of healthier living
• Compensation ranges from $110,000 - $135,000 annually, based on skills, experience, and education