Data Scientist

Summary

Edkey is seeking an early-career Data Scientist focused on building reliable data pipelines and performing advanced analytics. The role involves supporting model development and validation to drive business decisions through collaboration with various teams and ensuring data quality.

Responsibilities

• Build, maintain, and support ETL/data pipelines to ensure reliable, accurate, and timely data delivery (SQL, Python)
• Assist with testing, validation, and refinement of statistical and analytical models
• Conduct advanced analyses and validation checks on datasets and model outputs to ensure trustworthiness
• Identify data quality issues, anomalies, and inconsistencies and implement corrective solutions
• Collaborate with data engineering, product, and business partners to translate requirements into analytic solutions
• Write clear, maintainable analytical code, documentation, and unit tests following best practices
• Follow established data science standards, compliance requirements, and data governance practices
• Communicate findings and insights to stakeholders to inform strategy, product, and operations

Skills

• Bachelor's degree in a quantitative/technical field OR 1+ year of relevant professional experience
• 1+ years working with SQL and intermediate Python (pandas, numpy) for data manipulation and analysis
• Experience building data models and applying analytical methods beyond descriptive analytics
• Strong problem-solving skills, attention to data quality, and ability to work collaboratively in cross-functional teams
• Clear written and verbal communication skills for presenting technical findings to non-technical stakeholders
• Master's degree in a quantitative field
• Experience in healthcare, health insurance, or other regulated industries (claims, clinical data)
• Exposure to statistical modeling, machine learning workflows, or large-scale data processing (Spark, Hadoop)
• Familiarity with cloud platforms (AWS, GCP) and data orchestration tools (Airflow)
• Experience with data visualization tools (Looker, Tableau) and A/B testing frameworks
• Knowledge of software engineering best practices, CI/CD, and productionizing models

Qualifications

Must Haves

• Bachelor's degree in a quantitative/technical field OR 1+ year of relevant professional experience
• 1+ years working with SQL and intermediate Python (pandas, numpy) for data manipulation and analysis
• Experience building data models and applying analytical methods beyond descriptive analytics
• Strong problem-solving skills, attention to data quality, and ability to work collaboratively in cross-functional teams
• Clear written and verbal communication skills for presenting technical findings to non-technical stakeholders

Nice to Haves

• Master's degree in a quantitative field
• Experience in healthcare, health insurance, or other regulated industries (claims, clinical data)
• Exposure to statistical modeling, machine learning workflows, or large-scale data processing (Spark, Hadoop)
• Familiarity with cloud platforms (AWS, GCP) and data orchestration tools (Airflow)
• Experience with data visualization tools (Looker, Tableau) and A/B testing frameworks
• Knowledge of software engineering best practices, CI/CD, and productionizing models

Benefits

• Eligible for employee benefits
• Participation in an unlimited vacation program (or similar)
• Company equity grants
• Annual performance-based bonuses