Senior Data Scientist at Tendo

Candidates must possess a Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, or equivalent technical experience. They should have hands-on experience writing Python code for machine learning, data science, engineering, and ETL pipelines, along with 5+ years of experience in data analysis software, preferably in data science. A minimum of 5 years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling is required. The role also demands a proven track record of applying AI or ML models to solve practical, real-world problems, ideally in healthcare or similar complex domains. Knowledge of statistical concepts and data mining methods such as hypothesis testing, distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, and time series analysis is essential. Additionally, familiarity with various traditional machine learning techniques including feature engineering, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, and Deep Learning is necessary. Experience with machine learning implementation strategies such as model evaluation in production, drift detection, feature stores, model registries, deploying models as REST APIs, and integrating models into production environments is also required.