Senior Data Scientist

About the Role

Key Responsibilities

• Applying data mining techniques and statistical analysis to healthcare and financial data across our customer base
• Processing, cleansing and verifying the integrity of data used for analysis and modeling
• Becoming an expert in our data, conducting ad hoc analyses that support thought leadership and identifying opportunities to extend our data assets with third-party sources of information when needed
• Developing, evaluating, deploying, monitoring, and maintaining models and algorithms that automate manual processes, enrich our existing data assets, produce deep insights, and yield new data products
• Collaborating closely with data engineering, software development, and product management to translate business problems into data science solutions which can be integrated into StrataJazz, our 'Best in KLAS' enterprise SaaS solution
• Communicating complex technical concepts and analytical findings effectively to both technical and non-technical audiences through visualizations, documentation, and presentations to drive decision making
• Contributing to a culture of collaboration, learning, technical excellence, and continuous improvement by sharing your knowledge, skills, and ideas with others

Requirements

• 4-6 years of experience in data science roles, preferably within the healthcare or financial services sectors
• Strong proficiency in computational programming languages such as Python and proficiency using command line, scripting, and environment management tools
• Strong proficiency in SQL with the ability to explore, cleanse, and analyze messy data in large and complex relational databases
• Demonstrated experience in data analysis and applied statistical modeling
• Demonstrated experience with machine learning techniques, models, algorithms, and frameworks (e.g. classification, regression, clustering, XGboost, scikit-learn, etc.)
• Expertise in time series modeling and forecasting a strong plus!
• Strong problem-solving skills and ability to translate strategic questions into tactical work plans and outputs that deliver meaningful business value
• Experience working with big data and cloud data warehousing technologies like Snowflake, and familiarity with ETL processes and frameworks like dbt
• Experience building analytical and data science products within a SaaS framework
• Excellent communication and interpersonal skills, with the ability to present findings to differing audiences (e.g. internal technical and non-technical stakeholders, CFO, CEO, physicians, etc.)
• Data-oriented personality

Nice to Have

• Expertise in time series modeling and forecasting

Qualifications

• Experience in data science roles within healthcare or financial services sectors (4-6 years)

Benefits & Perks

• Comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits
• Discretionary variable pay programs based on role